JP2017162396A - Learning support program, learning support device and learning support method - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a learning support program capable of prompting each learner to improve learning circumstance, a learning support device and a learning support method.SOLUTION: The learning support program causes a computer to execute a series of processing including: acquiring a piece of sensor information which is collected by the sensors owned by each terminal device from each terminal device and a piece of response information including a response to a question; and calculating a threshold level which is used to determine whether to output a piece of alarm information output depending on the sensor information for each of the terminal devices based on the accuracy rate of the response included in the response information; and outputting the threshold level to the corresponding terminal device.SELECTED DRAWING: Figure 21

Description

  The present invention relates to a learning support program, a learning support apparatus, and a learning support method.

  In recent years, in educational sites such as elementary and junior high schools, learning using terminal devices such as tablet computers distributed to students has begun.

  Conventionally, it is already known how to use homework as an electronic learning material, and allow students to study using a terminal device brought home.

  Specifically, for example, in a learning mode performed via a network, the state between the user's face and the terminal device used by the user is determined, the face is close to the display screen, the surroundings are dark, etc. A technique for notifying a user of a warning message when it is determined that the state is inappropriate for the health state of the user is disclosed. Further, conventionally, a technique is disclosed in which a gaze direction of a teacher who transmits a problem and a student who receives a problem is detected, and a warning message is notified according to the student's concentration determined from the correlation state of the gaze information of both. ing.

Japanese Patent Laying-Open No. 2015-10302 JP 2001-228785 A

  In learning that does not use a terminal device, there are many things necessary for learning, such as textbooks and notebooks, and at least it is necessary to learn toward a learning desk, and learning places are limited. However, in learning using a terminal device, while watching the teaching materials displayed on the terminal device, the user can touch the terminal device with a finger to select an option or enter characters. Learning is possible even in a stable place. Moreover, since the brightness of the screen of the terminal device can be set, learning is possible even when the surroundings are dark. Therefore, it is not suitable for learning because, for example, you can study in various places compared to the case where learning is limited such as learning in the bus when you go to school or learning in a dark room. There is a possibility of learning.

  In this case, it is preferable for the teacher to instruct the students to improve the learning environment, but it is difficult for the teacher to grasp the learning environment of the students who are learning in various places. It was difficult to encourage improvement of the learning environment.

  Furthermore, especially in the case of learning conducted at home, the student's home environment varies depending on the student, so students who can study even in an environment that is generally unsuitable for learning can be accommodated even by providing uniform environmental improvement guidance. There are students who cannot respond. In addition, some students are working with full concentration so that even if they are studying in an unsuitable environment, the percentage of correct answers to questions is high.

  In one aspect, an object of the present invention is to provide a learning support program, a learning support apparatus, and a learning support method that can promote improvement of a learning environment for each learner.

  According to one aspect, for each terminal device, a process of obtaining sensor information collected from the sensor of the terminal device and answer information including an answer to the question, and a correct answer rate of the answer included in the answer information On the basis of, for each of the terminal devices, processing for calculating a threshold value used for determining whether to output alarm information output according to the sensor information, processing for outputting the threshold value to the corresponding terminal device, Is executed on the computer.

  Each of the above processes may be a functional unit that realizes each of the above processes, a method of causing each computer to execute each of the processes as a procedure, and a computer-readable storage medium that stores the program.

  Each learner can be encouraged to improve the learning environment.

It is a figure explaining an example of a system configuration of a learning support system. It is a figure which shows an example of the hardware constitutions of a teacher terminal. It is a figure which shows an example of a student database. It is a figure which shows an example of a gaze detection database. It is a figure which shows an example of a learning result database. It is a figure which shows an example of a sensor information database. It is a figure which shows an example of the threshold value database classified by student. It is a figure which shows an example of a common threshold value database. It is a figure which shows an example of a common master database. It is a figure which shows an example of an alarm effect count database. It is a figure which shows an example of the alarm effect determination database. It is a figure which shows an example of an alarm history database. It is a figure explaining the functional structure of each apparatus which a learning assistance system has. It is a figure explaining the functional structure of a threshold value calculation part. It is a figure explaining the functional structure of an alarm update determination part. It is a 1st flowchart explaining operation | movement of a teacher terminal. It is a 2nd flowchart explaining operation | movement of a teacher terminal. It is a flowchart explaining operation | movement of a student terminal. It is a 1st flowchart explaining the process of a threshold value calculation part. It is a 2nd flowchart explaining the process of a threshold value calculation part. It is a flowchart explaining the update process of threshold value information classified by student. It is a flowchart explaining the process by an alarm effect determination part. It is a figure explaining the process of a threshold value calculation part and an alarm effect determination part. It is a figure explaining the process of the threshold value calculation part and alarm effect determination part when a sensor kind is an illumination intensity sensor. It is a figure explaining the process of the threshold value calculation part and alarm effect determination part in case a sensor kind is an acceleration sensor. It is a figure explaining the process of the threshold value calculation part and alarm effect determination part when a sensor kind is a gyro sensor. It is a figure which shows an example of alarm information. It is a flowchart explaining the display of the alarm information in a student terminal. It is a figure which shows the example of the screen where alarm information was displayed.

  Embodiments will be described below with reference to the drawings. FIG. 1 is a diagram illustrating an example of a system configuration of a learning support system.

  The learning support system 100 of this embodiment includes a learning support device 200 and terminal devices 300-1, 300-2,..., 300-N.

  In the learning support system 100 of the present embodiment, the learning support device 200 distributes electronic learning materials to the terminal devices 300-1, 300-2, ..., 300-N. In each of the terminal devices 300-1, 300-2,..., 300-N, learning using electronic learning materials is performed by the user of each terminal device. In the present embodiment, when a student (learner) takes the terminal device 300 to which the electronic learning material is distributed to his / her home, etc., and tackles this learning, it is called “take-out learning”.

  The learning support system 100 of this embodiment is used for education in elementary and junior high schools, for example, and the learning support device 200 is mainly used by teachers, and the terminal devices 300-1, 300-2,. 300-N is mainly used by students. Therefore, in the following description of the embodiment, the learning support device 200 is called a teacher terminal 200, and the terminal devices 300-1, 300-2,..., 300-N are student terminals 300-1, 300-2,. .. Called 300-N. Moreover, in the following description, when not distinguishing each of the student terminals 300-1, 300-2,..., 300-N, the student terminals 300-1, 300-2,. Is simply referred to as a student terminal 300.

  In the learning support system 100 according to the present embodiment, for example, when each student performs take-out learning using the student terminal 300, an environment for performing take-out learning based on information detected by each sensor provided in the student terminal 300. It is determined for each student whether or not is suitable for learning. Then, when it is determined that the environment is not suitable for learning, the learning support system 100 according to the present embodiment causes the student terminal 300 to display information for promoting the environment for each student.

  At this time, in the learning support system 100 of this embodiment, a threshold value to be compared with information detected by the sensor is set for each student terminal 300. For this reason, in this embodiment, it can be determined for each student whether or not the environment is suitable for learning. For students determined that the environment is not suitable for learning, the environment is stored in the student terminal 300 for each student. It is possible to display information that prompts improvement.

  The teacher terminal 200 according to the present embodiment includes a student database 210, a gaze detection database 220, a learning result database 230, a sensor information database 240, a student threshold database 250, a common threshold database 260, a common master database 270, an alarm effect count database 280, An alarm effect determination database 281, a student-specific alarm history database 282, and a learning support processing unit 290 are included.

  The student database 210 stores information related to students who are learning. The line-of-sight detection database 220 stores the result of line-of-sight detection for each student based on the sensor information acquired from the student terminal 300. The learning result database 230 stores learning results of take-out learning for each student.

  The sensor information database 240 stores information detected by each sensor of each student terminal 300 for each student terminal 300. The student threshold database 250 stores thresholds used for determining whether or not the environment is suitable for learning for each student terminal 300.

  The common threshold value database 260 stores common threshold values used for determining whether or not the environment is suitable for learning. The common master database 270 stores values used for processing of the learning support processing unit 290.

  The alarm effect count database 280 stores information generated by the alarm effect determination process. The alarm effect determination process is a process for determining the presence or absence of an effect by displaying information that prompts improvement of the environment. The alarm effect determination database 281 stores the result of determining whether or not there is an effect by displaying information that prompts improvement of the environment for each student terminal 300. The student-specific alarm history database 282 stores information indicating the history of display of information for improving the environment for each student terminal 300.

  In the following description, information that promotes environmental improvement is called alarm information, and a value detected from the sensor is called sensor information. The sensor information includes a plurality of values detected from the sensor.

  The learning support processing unit 290 according to the present embodiment refers to each database described above, and calculates a threshold used for determining whether or not the environment is suitable for learning according to the correct answer rate of the learning content for each student terminal 300. And output to the student terminal 300 to display alarm information for each student terminal 300.

  The student terminal 300 according to the present embodiment includes a learning processing unit 310. The learning processing unit 310 receives content that is an electronic learning material from the teacher terminal 200 and displays the learning content. In addition, the learning processing unit 310 acquires sensor information and transmits it to the teacher terminal 200 together with the learning content. In addition, the learning processing unit 310 receives a threshold value for each sensor from the teacher terminal 200 and displays alarm information on the student terminal 300 according to a result of comparing the sensor information and the threshold value.

  Next, the teacher terminal 200 of this embodiment will be described. FIG. 2 is a diagram illustrating an example of a hardware configuration of the teacher terminal.

  The teacher terminal 200 according to the present embodiment is, for example, a tablet computer, and the input / output device 21, the drive device 22, the auxiliary storage device 23, the memory device 24, the arithmetic processing device 25, An interface device 26 is included.

  The input / output device 21 is a display operation device such as a touch panel. The interface device 26 includes a modem, a LAN card, and the like, and is used for connecting to a network.

  The learning support program is at least a part of various programs that control the teacher terminal 200. The learning support program is provided, for example, by distributing the recording medium 27 or downloading from the network. The recording medium 27 on which the learning support program is recorded is information such as a CD-ROM, a flexible disk, a magneto-optical disk, etc., a recording medium for recording information optically, electrically or magnetically, a ROM, a flash memory, etc. Various types of recording media, such as a semiconductor memory that electrically records data, can be used.

  The learning support program is installed in the auxiliary storage device 23 from the recording medium 27 via the drive device 22 when the recording medium 27 on which the learning support program is recorded is set in the drive device 22. The learning support program downloaded from the network is installed in the auxiliary storage device 23 via the interface device 26.

  The auxiliary storage device 23 stores the installed learning support program and also stores necessary files, data, and the like. The memory device 24 reads and stores the learning support program from the auxiliary storage device 23 when the computer is activated. The arithmetic processing unit 25 implements various processes as will be described later in accordance with the learning support program stored in the memory device 24.

  In addition, the teacher terminal 200 according to the present embodiment may be a desktop computer or the like, for example. In that case, instead of the input / output device 21, an output device having a display function and an input device such as a keyboard may be included.

  The student terminal 300 of this embodiment is a general tablet computer or the like, and the hardware configuration is the same as that of the teacher terminal 200 shown in FIG. Although not shown in FIG. 2, the student terminal 300 according to the present embodiment includes a camera, a microphone, an acceleration sensor, a gyro sensor, an illuminance sensor, and the like. The student terminal 300 according to the present embodiment may include all the sensors described above in addition to the camera and the microphone, but may not include all the sensors. Moreover, the teacher terminal 200 of this embodiment may have the same sensor group as the student terminal 300. Each sensor which the student terminal 300 of this embodiment has is a sensor provided in a general tablet type computer, for example. In the following description, the sensor refers to a microphone, an acceleration sensor, a gyro sensor, an illuminance sensor, or the like other than the camera provided in the student terminal 300.

  Next, each database of the teacher terminal 200 according to the present embodiment will be described with reference to FIGS.

  FIG. 3 is a diagram illustrating an example of a student database. The student database 210 according to the present embodiment includes a student ID and a student name as information items, which are associated with each other.

  The value of the item “student ID” indicates an identifier for identifying a student. In this embodiment, a student ID is assigned to the student terminal 300 of each student. Therefore, in the following description, the student ID is also an identifier for identifying the student terminal 300. The value of the item “student name” indicates the name of the student. Note that the student database 210 according to the present embodiment may include an item “school year” and the like in addition to the item “student name”.

  In the following description, information including the value of the item “student ID” and the values of other items corresponding to the item “student name” is referred to as student information.

  FIG. 4 is a diagram illustrating an example of a line-of-sight detection database. The line-of-sight detection database 220 of the present embodiment includes student IDs and line-of-sight detection times as information items, which are associated with each other. In the following description, the value of the item “student ID” Information including the value of the item “line-of-sight detection time” is referred to as line-of-sight detection information.

  The value of the item “line-of-sight detection time” indicates the time when the student's line of sight is detected in the student terminal 300 to which the corresponding student ID is assigned.

  4 shows an example in which the eye gaze detection time corresponding to the student ID “001” is stored, the eye gaze detection database 220 stores the eye gaze detection time for each student ID. In the following description, information including the student ID value and the line-of-sight detection time value is referred to as line-of-sight detection information.

  FIG. 5 is a diagram illustrating an example of a learning result database. The learning result database 230 according to the present embodiment includes, as items of information, a student ID, a take-out date, a take-out learning ID, a question ID, a subject, an answer, a response time, correctness, a score, and a correct answer rate. In the learning result database 230, the item “student ID” is associated with other items. In the following description, information including the value of the item “student ID” and the values of other items is learned. This is called result information.

  The value of the item “take-out date” indicates the date when the student terminal 300 was taken home. Specifically, the value of the item “take-out date” indicates the date when the student terminal 300 downloads the content as the electronic learning material from the teacher terminal 200.

  The value of the item “take-out learning ID” indicates identification information for identifying the content downloaded by the student terminal 300. The value of the item “question ID” is identification information for identifying a question included in the content. The value of the item “subject” indicates a subject corresponding to the content identified by the take-out learning ID. The value of the item “answer” indicates the content of the answer input for the question identified by the question ID.

  The value of the item “answer time” indicates the time when the value of the corresponding item “answer” is input in the student terminal 300. The value of the item “correct / incorrect” indicates whether the value of the corresponding item “answer” is a correct answer or an incorrect answer. The value of the item “score” indicates the score corresponding to the question identified by the question ID. The value of the item “correct answer rate” is the probability that the answer to each question included in the content is correct.

  In the learning result database 230 of the present embodiment, it is only necessary to know whether the answer to the question is correct or not, and the item “score” may not be included.

  In the example of FIG. 5, it can be seen that the student terminal 300 of the student with the student ID “001” downloaded the content with the take-out learning ID “m0001” from the teacher terminal 200 on 2015/5/10. In the example of FIG. 5, it can be seen that the subject of the content of the take-out learning ID “m0001” is arithmetic, and includes questions IDs “sm0001”, “sm0002”, and “sm0003”. Further, in the example of FIG. 5, “12” is input as an answer of the question ID “sm0001” at 19:10:29 on 2015/5/10, and it is understood that this answer is an incorrect answer.

  FIG. 6 is a diagram illustrating an example of a sensor information database. The sensor information database 240-1 illustrated in FIG. 6A stores audio information detected by a microphone and illuminance information detected by an illuminance sensor. 6B stores the vibration information of the student terminal 300 detected by the gyro sensor and the tilt information of the student terminal 300 detected by the acceleration sensor.

  The sensor information databases 240-1 and 240-2 of the present embodiment have student IDs, sensor types, values, and times as information items. The value of the item “sensor type” indicates the type of sensor. The item “value” indicates a value acquired from the corresponding sensor. The value of the item “time” indicates the time when the corresponding value is acquired.

  For example, in the sensor information database 240-1, at 19:10 on 2015/5/10, the illuminance sensor of the student terminal 300 of the student with the student ID “001” detects 320 [lx], and the microphone is 29 [dB]. It can be seen that is detected.

  For example, in the sensor information database 240-2, at 19:10 on 2015/5/10, the gyro sensor of the student terminal 300 of the student with the student ID “001” detects 0 in the X axis, the Y axis, and the Z axis. You can see that

  FIG. 7 is a diagram illustrating an example of the student threshold database. When the threshold setting for each student is set by the learning support processing unit 290, the student threshold database 250-1 shown in FIG. 7A is updated to the student threshold database 250-2 shown in FIG. The FIG. 7 shows the student threshold database 250 of the student with the student ID “001”, and the student threshold database 250 is generated for each student ID.

  The student threshold databases 250-1 and 250-2 of the present embodiment include student IDs, setting dates, sensor types, alarm types, lower limit values, upper limit values, and alarm IDs as information items.

  In the following description, information including the value of the item “student ID” and the values of other items is referred to as student threshold information.

  In the student-specific threshold databases 250-1 and 250-2, the value of the item “set date” indicates the date on which the corresponding upper limit value and lower limit value are set. The value of the item “alarm type” indicates identification information for identifying alarm information. The values of the item “lower limit value” and the item “upper limit value” indicate threshold values for determining whether to output alarm information. More specifically, one of the values of the item “lower limit value” and the item “upper limit value” is a threshold for determining whether to output alarm information, and the other value is the alarm information. This is a threshold value for determining whether to switch the type. The value of the item “alarm ID” indicates alarm information to be displayed.

  In FIG. 7A, in the student terminal 300 to which the student ID “001” is assigned, when the sound volume detected by the microphone exceeds the lower limit of 40 [dB], the alarm ID “am0003” whose alarm type is “warning”. "Is displayed on the student terminal 300. In FIG. 7A, in the student terminal 300 to which the student ID “001” is assigned, when the sound volume detected by the microphone exceeds the lower limit of 81 [dB], the alarm ID whose alarm type is “stop”. Alarm information “am0004” is displayed on the student terminal 300.

  Therefore, when the sensor type is a microphone, the lower limit value of the alarm type “warning” is a threshold for determining whether or not alarm information is output. When the sensor type is a microphone, the lower limit value of the alarm type “stop” is a threshold value for determining whether the alarm information is switched from the alarm type “warning” to the alarm type “stop”.

  The alarm information whose alarm type is “warning” is information that warns that the environment is not suitable for learning and promotes improvement of the environment, for example. The alarm information whose alarm type is “stop” is, for example, information that warns that the environment is not suitable for learning and urges improvement of the environment or stop of learning.

  In addition to prompting the student to stop learning, the alarm display may be continued until the sensor value falls below the switching determination threshold value in order to make the student make an effort to improve the environment. In this way, learning in an environment that is not suitable for learning can be interrupted.

  Similarly, in FIG. 7A, in the student terminal 300 to which the student ID “001” is assigned, when the light amount detected by the illuminance sensor is less than the upper limit of 80 [lx], the alarm type is “warning”. Alarm information of alarm ID “am0001” is displayed on the student terminal 300. In FIG. 7A, in the student terminal 300 to which the student ID “001” is assigned, when the light quantity detected by the illuminance sensor is equal to or lower than the lower limit of 20 [lx], the alarm whose alarm type is “stop” Alarm information with ID “am0002” is displayed on the student terminal 300.

  Therefore, when the sensor type is an illuminance sensor, the upper limit value of the alarm type “warning” is a threshold value for determining whether or not to output alarm information.

  When the sensor type is an illuminance sensor, the upper limit value of the alarm type “stop” is a threshold value for determining whether to switch the alarm information from the alarm type “warning” to the alarm type “stop”. .

  Although not shown in FIG. 7, for example, the sensor information of the acceleration sensor indicates the inclination of the student terminal 300. If the student terminal 300 is significantly inclined during learning, it is difficult to think that the environment is suitable for learning.

  Therefore, when the item “sensor type” is “acceleration”, similarly to the illuminance sensor, the upper limit value of the alarm type “warning” is a threshold for determining whether or not to output alarm information. . The upper limit value of the alarm type “stop” is a threshold value for determining whether or not the alarm information is switched from the alarm type “warning” to the alarm type “stop”.

  For example, the sensor information of the gyro sensor indicates the vibration of the student terminal 300. When learning, when the vibration of the student terminal 300 is large, it is difficult to think that the environment is suitable for learning.

  Therefore, when the item “sensor type” is “gyro”, similarly to the microphone, the lower limit value of the alarm type “warning” is a threshold value for determining whether to output alarm information. The lower limit value of the alarm type “stop” is a threshold value for determining whether or not to switch the alarm information from the alarm type “warning” to the alarm type “stop”.

  In the following description, a threshold for determining whether to output alarm information is referred to as an output determination threshold, and a threshold for determining whether to switch alarm information to be displayed is referred to as a switching determination threshold.

  FIG. 8 is a diagram illustrating an example of the common threshold value database. The common threshold value database 260 of this embodiment has alarm ID, sensor type, alarm type, lower limit value, and upper limit value as information items. In the following description, information including the value of the item “alarm ID” and the values of other items in the common threshold value database 260 is referred to as common threshold value information.

  The upper limit value and the lower limit value stored in the common threshold value database 260 of the present embodiment are values used as a common threshold value when, for example, a student-specific threshold value is not set.

  FIG. 9 is a diagram illustrating an example of the common master database. The common master database 270 of this embodiment stores values set in advance by, for example, the administrator of the learning support system 100, and is referred to when the learning support processing unit 290 executes processing.

  The common master database 270 includes setting items and setting values as information items. The value of the item “setting item” indicates an item for which a value has been set in advance. The value of the item “setting value” indicates a value set for the setting item.

  In the example of FIG. 9, it can be seen that 0:00 is set as the night start time and 5:59 is set as the night end time. That is, in the example of FIG. 9, it is set that 0:00 to 5:59 are regarded as nighttime.

  Moreover, in the example of FIG. 9, it turns out that the correct answer rate is set to 60% and the alarm effect determination effective days is set to 3 days. In the present embodiment, for example, a determination result that determines whether outputting alarm information is effective for improving environmental improvement within the effective number of days of alarm effect determination may be adopted as an effective determination result. .

  The value stored in the common master database 270 is used for processing of the learning support processing unit 290 described later.

  FIG. 10 is a diagram illustrating an example of the alarm effect count database. The alarm effect count database 280 of the present embodiment stores information generated by the alarm effect determination process.

  The alarm effect count database 280 of this embodiment has a student ID, an effect presence / absence, a cumulative value, and an update date as information items. The value of the item “effect presence / absence” indicates whether the alarm information is effective. The value of the item “cumulative value” indicates the number of times that the alarm information is determined to be effective or the number of times that the alarm information is determined not to be effective. The value of the item “update date” indicates the date on which the alarm effect determination process was performed. In the following description, in the alarm effect count database 280, information including the value of the item “student ID” and the values of other items is referred to as alarm effect count information.

  In the example of FIG. 10, at the time of 2015/5/11, for the student ID “001”, the number of times determined to be effective in displaying the alarm information is 10, and the alarm information is displayed. In particular, it can be seen that the number of times determined to be ineffective is nine.

  FIG. 11 is a diagram illustrating an example of the alarm effect determination database. The alarm effect determination database 281 of the present embodiment stores determination results obtained by alarm effect determination processing for each student. The alarm effect determination database 281 includes a student ID, a determination result, and an update date as information items. The value of the item “determination result” indicates the result of determining whether the alarm information is effective.

  In the following description, information including the value of the item “student ID” and the values of other items in the alarm effect determination database 281 is referred to as alarm effect determination information.

  In FIG. 11, it can be seen that the display of alarm information for the student with the student ID “001” has been determined to have no effect at the time of 2015/5/11.

  FIG. 12 is a diagram illustrating an example of an alarm history database. The student-specific alarm history database 282 of this embodiment stores information indicating the history of displayed alarm information for each student. The student-specific alarm history database 282 includes student ID, alarm ID, and display date / time as information items. The value of the item “display date and time” indicates the date and time when the alarm information corresponding to the alarm ID is displayed on the student terminal 300. In the following description, information including the value of the item “student ID” and the values of other items in the student alarm history database 282 is referred to as student alarm history information.

  In FIG. 12, it can be seen that the alarm information corresponding to the alarm ID “am0003” is displayed on the student terminal 300 to which the student ID “001” is assigned at 16:25:39 on 2015/5/10.

  The alarm information corresponding to the alarm ID “am0003” is alarm information whose type is “warning” based on the value detected by the microphone (see FIG. 8).

  Each database of the present embodiment described above may be provided in the auxiliary storage device 23 of the teacher terminal 200, for example.

  Next, with reference to FIG. 13, the functional configuration of each device included in the learning support system 100 of the present embodiment will be described. FIG. 13 is a diagram illustrating the functional configuration of each device included in the learning support system.

  First, the functional configuration of the teacher terminal 200 will be described. The teacher terminal 200 of the present embodiment includes a learning support processing unit 290. The learning support processing unit 290 is realized by the arithmetic processing device 25 executing a learning support program stored in the memory device 24 or the like.

  The learning support processing unit 290 of this embodiment includes an input receiving unit 291, a content output unit 292, a sensor activation request unit 293, a threshold output unit 294, a sensor information acquisition unit 295, a line-of-sight detection acquisition unit 296, a threshold calculation unit 297, an alarm. An effect determination unit 298 is included.

  The input receiving unit 291 receives an input to the teacher terminal 200. The input receiving unit 291 receives, for example, an operation on the input / output device 21 and an input of information transmitted from the student terminal 300.

  The content output unit 292 outputs content that is an electronic learning material to the student terminal 300. The content may be generated in advance in the teacher terminal 200 and stored in the auxiliary storage device 23, the memory device 24, or the like, or may be downloaded from the external server or the like by the teacher terminal 200.

  When the content output unit 292 outputs content to the student terminal 300, the sensor activation request unit 293 requests the student terminal 300 to activate each sensor and camera.

  The threshold output unit 294 outputs student-specific threshold information including the student ID assigned to the student terminal 300 to the student terminal 300.

  The sensor information acquisition unit 295 acquires the sensor information output from the student terminal 300 together with the student ID and stores it in the sensor information database 240. The line-of-sight detection acquisition unit 296 acquires information indicating the line-of-sight detection result detected at the student terminal 300 together with the student ID and stores the information in the line-of-sight detection database 220.

  The threshold value calculation unit 297 calculates an upper limit value or a lower limit value in the threshold information for each student for each student terminal 300 according to the correct answer rate of the answer to the question included in the content. Details of the threshold value calculation unit 297 will be described later.

  The alarm effect determination unit 298 determines whether the display of the alarm information on the student terminal 300 has an effect on the improvement of the student learning environment. Details of the alarm effect determination unit 298 will be described later.

  Next, the functional configuration of the student terminal 300 will be described. The student terminal 300 according to the present embodiment includes a learning processing unit 310. The learning processing unit 310 of the present embodiment is realized by the arithmetic processing device of the student terminal 300 executing a learning program stored in a memory device or the like of the student terminal 300.

  The learning processing unit 310 of the present embodiment includes an input receiving unit 311, a threshold presence / absence determination unit 312, an alarm output determination unit 313, a display control unit 314, an alarm information storage unit 315, a sensor information collection unit 316, an answer information holding unit 317, A line-of-sight detection unit 318 and an information output unit 319 are included.

  The input receiving unit 311 of this embodiment receives information input to the student terminal 300. The input receiving unit 311 receives, for example, an operation on the input / output device of the student terminal 300 and an input of information transmitted from the teacher terminal 200.

  The threshold presence / absence determination unit 312 determines whether or not the student-specific threshold information is transmitted together with the content transmitted from the teacher terminal 200. Whether the alarm output determination unit 313 compares the sensor value with the upper limit value or the lower limit value included in the threshold information for each student while the content is displayed and the take-out learning is being executed, and outputs the alarm information. Determine whether or not.

  When it is determined that alarm information is to be output, the display control unit 314 causes the student terminal 300 to display the corresponding alarm information.

  The alarm information storage unit 315 stores alarm information in association with an alarm ID. The alarm information stored in the alarm information storage unit 315 of the present embodiment may be stored in advance in the student terminal 300 or downloaded from the teacher terminal 200 together with the content. The alarm information associated with the alarm ID may be stored in the teacher terminal 200. Details of the alarm information storage unit 315 will be described later.

  The sensor information collection unit 316 collects sensor information of the sensor indicated by the sensor type of the threshold information for each student. The answer information holding unit 317 holds answer information that is a result of learning performed at the student terminal 300. The answer information is information including items other than the item “correct” and the item “score” included in the learning result information. That is, the answer information is information including a student ID, a take-out date, a take-out learning ID, a question ID, a subject, an answer, and an answer time.

  The line-of-sight detection unit 318 detects the line of sight directed toward the student terminal 300 from the image captured by the camera of the student terminal 300, and holds the line-of-sight detection information. Specifically, the line-of-sight detection unit 318 detects the time when the line of sight is directed to the student terminal 300, and sets information associating the student ID and the time when the line of sight is detected as line-of-sight detection information.

  The information output unit 319 transmits sensor information, answer information, and line-of-sight detection information to the teacher terminal 200.

  Next, the threshold value calculation unit 297 of this embodiment will be described. FIG. 14 is a diagram illustrating a functional configuration of the threshold value calculation unit.

  The threshold value calculation unit 297 of this embodiment includes a learning time specifying unit 271, a correct answer rate calculating unit 272, a sensor information comparing unit 273, a correct answer rate determining unit 274, a history presence / absence determining unit 275, a result presence / absence determining unit 276, and a free time detecting unit. 277 and a threshold update unit 278.

  The learning time specifying unit 271 of this embodiment specifies a learning time zone in which the student has conducted take-out learning from the line-of-sight detection information and the answer information. The correct answer rate calculation unit 272 calculates the correct answer rate from the answer information received from the student terminal 300. Note that the teacher terminal 200 holds in advance the correct answers of the questions included in the content downloaded to the student terminal 300, and calculates the correct answer rate by comparing the answer information with the correct answers.

  The sensor information comparison unit 273 compares the sensor information with a threshold value. The correct answer rate determination unit 274 determines whether the correct answer rate included in the learning result information in the learning result database 230 exceeds the correct answer rate stored in the common master database 270.

  The history presence / absence determination unit 275 determines whether or not the student alarm history information corresponding to the student ID exists in the student alarm history database 282.

  The result presence / absence determination unit 276 determines whether there is an alarm effect determination result within the alarm effect determination effective days. Specifically, the result presence / absence determination unit 276 determines whether a determination result corresponding to the corresponding student ID is stored in the determination result database 281.

  The idle time detection unit 277 detects an idle time zone from the line-of-sight detection information and the answer information. The idle time zone is a time zone other than the night time and the learning time zone among the time zones in which sensor information is collected. The threshold update unit 278 updates the threshold included in the student threshold information.

  Next, the alarm effect determination unit 298 of this embodiment will be described. FIG. 15 is a diagram illustrating a functional configuration of the alarm update determination unit.

  The alarm effect determination unit 298 of this embodiment includes an alarm history determination unit 261, a display time acquisition unit 262, a sensor information comparison unit 263, an effect determination unit 264, a result presence / absence determination unit 265, an effective day determination unit 266, and a determination result setting unit. 267.

  The alarm history determination unit 261 determines whether or not there is a display history of alarm information for each student terminal 300 with reference to the student alarm history database 282. The display time acquisition unit 262 acquires the time when the alarm information is displayed on the student terminal 300. The sensor information comparison unit 263 performs the same process as the sensor information comparison unit 273.

  The effect determination unit 264 determines whether the environment has been improved by displaying alarm information. The result presence / absence determination unit 265 performs the same processing as the result presence / absence determination unit 276.

  The effective days determination unit 266 determines whether the determination result corresponding to the corresponding student ID stored in the alarm effect determination database 281 is a result determined within the alarm effect determination effective days. The determination result setting unit 267 determines whether the display of the alarm information is effective for improving the learning environment based on the comparison result by the sensor information comparison unit 263 and the alarm effect count database 280. The result is stored in the alarm effect determination database 281.

  Next, the operation of each device included in the learning support system 100 of this embodiment will be described. First, the operation of the teacher terminal 200 will be described.

  FIG. 16 is a first flowchart for explaining the operation of the teacher terminal. FIG. 16 shows the operation of the teacher terminal 200 when a content acquisition request is received from the student terminal 300.

  The learning support processing unit 290 of the teacher terminal 200 according to the present embodiment receives a content acquisition request (download request) together with the student ID from the student terminal 300 through the input receiving unit 291 (step S1601).

  Subsequently, the learning support processing unit 290 outputs the content to the student terminal 300 that has made a content acquisition request by the content output unit 292, and the sensor activation request unit 293 together with the content of the sensor and camera of the student terminal 300. An activation request is transmitted to the student terminal 300 (step S1602).

  Subsequently, the learning support processing unit 290 uses the threshold output unit 294 to refer to the student threshold database 250 and search for student threshold information including the received student ID (step S1603). Subsequently, the threshold output unit 294 determines whether or not the corresponding student threshold information exists (step S1604).

  In step S1604, when there is no corresponding threshold value information for each student, the learning support processing unit 290 ends the process. In step S1604, when the pertinent student threshold information exists, the threshold output unit 294 transmits the pertinent student threshold information to the student terminal 300 (step S1605), and ends the process.

  In the present embodiment, the process is terminated when there is no corresponding student threshold information. However, the present invention is not limited to this. When there is no corresponding student threshold information, the teacher terminal 200 may transmit the common threshold information to the student terminal 300.

  FIG. 17 is a second flowchart for explaining the operation of the teacher terminal. FIG. 17 shows an operation when receiving answer information from the student terminal 300.

  The learning support processing unit 290 of the teacher terminal 200 according to the present embodiment receives answer information from the student terminal 300 through the input receiving unit 291. At this time, the input reception unit 291 receives the sensor information of the sensor that is the monitoring target and the line-of-sight detection information together with the answer information (step S1701).

  Subsequently, the learning support processing unit 290 transmits an instruction to end the operation of the sensor and the camera through the sensor activation request unit 293 (step S1702).

  Subsequently, the learning support processing unit 290 performs the threshold value calculation processing for each student by the threshold value calculation unit 297 (step S1703). Subsequently, the learning support processing unit 290 performs an alarm effect determination process by the alarm effect determination unit 298 (step S1704), and ends the process. Details of the threshold value calculation process for each student by the threshold value calculation unit 297 and the alarm effect determination process by the alarm effect determination unit 298 will be described later.

  Next, with reference to FIG. 18, the operation of the student terminal 300 of this embodiment will be described. FIG. 18 is a flowchart for explaining the operation of the student terminal.

  The learning processing unit 310 of the student terminal 300 according to the present embodiment receives the content, the activation request of the camera and each sensor from the teacher terminal 200 by the input receiving unit 311 (step S1801). In response to this request, the learning processing unit 310 causes the sensor information collection unit 316 to start collecting sensor information of each sensor. Further, the line-of-sight detection unit 318 starts imaging by the camera in response to this request, and starts the line-of-sight detection process.

  Subsequently, the learning processing unit 310 determines whether or not the input receiving unit 311 has received a take-out learning start instruction (step S1802).

  If the start instruction is not accepted in step S1802, the process waits until the start instruction is accepted. In step S1802, when the start instruction is accepted, the learning processing unit 310 determines whether the threshold presence / absence determination unit 312 has received the threshold information for each student together with the content (step S1803).

  If the student threshold information is received in step S1803, the process proceeds to step S1810 described later. In step S1803, when the threshold information for each student is not received, the alarm information output determination is not performed for the student with the student ID included in the student threshold information, that is, the alarm information is not output. It is shown that.

  If the student threshold information is not received in step S1804, the learning processing unit 310 causes the display control unit 314 to display the received content on the student terminal 300 (step S1804).

  Subsequently, the learning processing unit 310 determines whether or not the take-in learning end instruction has been received by the input receiving unit 311 (step S1805). If the end instruction is not accepted in step S1805, the learning processing unit 310 returns to step S1804.

  In step S1805, upon receiving an end instruction, the learning processing unit 310 holds the answer information by the answer information holding unit 317 (step S1806). Subsequently, the learning processing unit 310 receives a response information transmission instruction by the input receiving unit 311 (step S1807).

  Subsequently, the learning processing unit 310 causes the information output unit 319 to transmit answer information, sensor information, and line-of-sight detection information to the teacher terminal 200 (step S1808). That is, the student terminal 300 according to the present embodiment uses the sensor information and the line-of-sight detection information collected from the time when the content is received from the teacher terminal 200 to the time when the answer information for learning based on the content is transmitted to the teacher terminal 200. To the teacher terminal 200.

  Subsequently, the learning processing unit 310 receives an instruction to end the operation of the camera and each sensor from the teacher terminal 200 by the input receiving unit 311 and ends the acquisition of the image data by the camera and the acquisition of the sensor information by the sensor (Step S31). S1809), the process is terminated.

  When the student threshold information is received in step S1803, the output of alarm information is determined for the student corresponding to the student ID included in the student threshold information.

  In step S1803, when the student threshold value information is received, the learning processing unit 310 causes the display control unit 314 to display the content (step S1810).

  Subsequently, the learning processing unit 310 uses the alarm output determination unit 313, the display control unit 314, and the alarm information storage unit 315 to determine whether to output alarm information and to control display of alarm information (step S1811). .

  Specifically, the alarm output determination unit 313 compares the sensor information collected from the sensor indicated by the sensor type included in the student threshold information with the threshold (upper limit or lower limit) included in the student threshold information. Whether to output alarm information is determined. Also, the display control unit 314 refers to the alarm information storage unit 315 from the value of the sensor information, and selects and displays the alarm information to be displayed. Details of the processing in step S1811 will be described later.

  Subsequently, the learning processing unit 310 determines whether or not an instruction to end take-out learning has been input by the input receiving unit 311 (step S1812). If the end instruction is not accepted in step S1812, the learning processing unit 310 returns to step S1811.

  In step S1812, when the end instruction is accepted, the learning processing unit 310 ends the determination by the alarm output determination unit 313 (step S1813), and proceeds to step S1806.

  As described above, according to the present embodiment, when there is student threshold information corresponding to the student ID, the teacher terminal 200 transmits the student threshold information to the student terminal 300 corresponding to the student ID. The student terminal 300 outputs alarm information according to the result of comparing the sensor information of the sensor for which the threshold is set in the identification information for each student and the threshold.

  Therefore, according to the present embodiment, it is possible to set a threshold for outputting alarm information for each student.

  Next, the process of the threshold value calculation unit 297 of this embodiment will be described. FIG. 19 is a first flowchart illustrating the processing of the threshold value calculation unit. FIG. 19 shows the student threshold calculation processing in step S1703 of FIG.

  The threshold value calculation unit 297 of this embodiment executes a threshold value calculation process for each sensor (step S1901). The threshold value calculation unit 297 according to the present embodiment includes sensor information collected from the time when the student terminal 300 receives content from the teacher terminal 200 until the answer information of learning by content is transmitted to the teacher terminal 200, and the line of sight A threshold value for each sensor is calculated using the detection information.

  Details of the threshold value calculation processing in step S1901 will be described later. Subsequently, the threshold value calculation unit 297 determines whether or not the threshold value calculation has been completed for all the sensors (step S1902).

  In step S1902, if the calculation of threshold values for all sensors has not been completed, the threshold value calculation unit 297 returns to step S1901. In step S1902, when the calculation of the threshold values of all the sensors is completed, the threshold value calculation unit 297 ends the process.

  Next, threshold value calculation processing for each sensor according to the present embodiment will be described. FIG. 20 is a second flowchart illustrating the process of the threshold value calculation unit. FIG. 20 shows threshold value calculation processing for each sensor in step S1901 in FIG. FIG. 20 illustrates a sensor threshold value calculation process in which the lower limit value of the alarm type “warning” in the student threshold information is a threshold value for determining whether to output alarm information.

  The threshold value calculation unit 297 of the present embodiment specifies the learning time zone based on the line-of-sight detection information received from the student terminal 300 and the answer information by the learning time specifying unit 271 (step S2001).

  Specifically, for example, when the learning time specifying unit 271 detects a line of sight toward the student terminal 300 between the answer time of a question and the answer time of another question included in the answer information, for example. May include from the answer time of one question to the answer time of another question in the learning time zone.

  Subsequently, the threshold value calculation unit 297 compares the answer information with the correct answer of the question by using the correct answer rate calculation unit 272, and calculates the correct answer rate of the answer included in the answer information (step S2002). The calculated correct answer rate is stored in the learning result database 230 in association with the student ID.

  Subsequently, the threshold value calculation unit 297 sets time t as x, the start time of the specified learning time zone as t1, and the end time as t2 (step S2003).

  Subsequently, the threshold value calculation unit 297 uses the sensor information comparison unit 273 to refer to the common threshold value database 260 and define a function f1 (x) from the lower limit value of “warning” of the corresponding sensor type (step S2004). The function f1 (x) is a function defined so that when the time t is x, the sensor type corresponding to the value is the lower limit value of the alarm type “warning”. In other words, the function f1 (x) is a function defined to be an output determination threshold when the time t is x.

  Subsequently, the sensor information comparison unit 273 defines a function f2 (x) from the sensor information collected from the sensor of the corresponding sensor type (step S2005). The function f2 (x) is a function of the collected sensor information values by an approximate expression or the like.

  Subsequently, the sensor information comparison unit 273 obtains an integrated value F1 from x = t1 to x = t2 in the function f1 (x) (step S2006). Subsequently, the sensor information comparison unit 273 obtains an integrated value F2 from x = t1 to x = t2 in the function f2 (x) (step S2007).

  Next, the sensor information comparison unit 273 determines whether or not the integral value F2> the integral value F1 (step S2008). That is, the sensor information comparison unit 273 determines whether or not the sensor value sometimes exceeds the output determination threshold value (the lower limit value of the alarm type “warning”) during the learning time period.

  In step S2008, when the integral value F2> the integral value F1 is not satisfied, the threshold value calculation unit 297 ends the process.

  In step S2008, when integral value F2> integral value F1, the threshold value calculation unit 297 performs an update process for updating a value used for determining whether or not to output alarm information in the threshold value information for each student ( Step S2009), the process is terminated.

  Hereinafter, the update process in step S2009 will be described with reference to FIG. FIG. 21 is a flowchart for explaining the updating process of the threshold information for each student.

  The threshold value calculation unit 297 of the present embodiment determines whether or not the accuracy rate corresponding to the student ID stored in the learning result database 230 by the accuracy rate determination unit 274 exceeds the accuracy rate stored in the common master database 270. Is determined (step S2101).

  In step S2101, if the accuracy rate of the common master database 270 is exceeded, the process proceeds to step S2105 described later.

  Although the output determination threshold is updated to the maximum collected sensor value here, the present invention is not limited to this. The output determination threshold value may be updated to an average value of the collected sensor values.

  The correct answer rate for questions can be regarded as an index indicating the degree of concentration of students during learning. Therefore, in the present embodiment, if the correct answer rate exceeds a preset value, this student can concentrate on the learning sufficiently and the environment is considered suitable for learning.

  That is, regarding a student who exceeds a certain correct answer rate, the current environment is regarded as an environment suitable for learning for this student, and the alarm information output determination is not performed.

  When the accuracy rate exceeds the accuracy rate of the common master database 270 and the sensor value collected from the student terminal 300 exceeds the value of the common threshold value database 260, the student-specific threshold information of the student is The sensor value collected this time may be updated to the maximum value or the average value. This is also for students who have exceeded a certain accuracy rate, and that the current environment is suitable for learning for this student.

  In step S2101, if the accuracy rate of the common master database 270 is not exceeded, the threshold value calculation unit 297 uses the history presence / absence determination unit 275 to store the student alarm history information including the received student ID in the student alarm history database 282. Search is performed (step S2102). Subsequently, the history presence / absence determination unit 275 determines whether or not the corresponding student alarm history information exists in the student alarm history database 282 (step S2103).

  In step S2103, when the corresponding student alarm history information exists, the result presence / absence determination unit 276 is determined within the alarm effect determination effective number of days stored in the common master database 270 in the alarm effect determination database 281; In addition, it is determined whether or not there is a determination result determined to be effective (step S2104).

  If there is no corresponding determination result in step S2104, the threshold value calculation unit 297 causes the threshold value update unit 278 to input the item “sensor type” from the student-specific threshold information 250 including the student ID. The threshold value for each student corresponding to the sensor value is deleted, the setting for determining the output of alarm information is eliminated (step S2105), and the process ends.

  The process of step S2104 will be described. The case of going to No in step S2104 is a case where it is determined that it is effective for the student with the received student ID to output the alarm information, and this determination result is valid. That is, this student can be said to be a student who has not improved the environment even though the output of alarm information is determined to be effective for improving the environment. In such a case, the student can guess that it is difficult to improve the environment due to unavoidable circumstances. Although it is difficult to improve the environment, repeatedly outputting alarm information that prompts the improvement of the environment may lead to a reduction in learning motivation and a mental burden.

  Therefore, in the present embodiment, when heading to No in step S2104, alarm information based on the sensor information of this sensor is not output.

  In step S2104, when there is a corresponding determination result, the threshold value calculation unit 297 has a free time zone having the same length as the learning time zone in the time zone in which sensor information is collected by the free time detection unit 277. It is determined whether or not to perform (step S2106).

  In step S2106, when there is no free time slot, the threshold value calculation unit 297 proceeds to step S2105.

  In step S2106, the case where there is no free time zone indicates that there is no time that can secure a time zone of an equivalent length other than the specified learning time zone, and that learning can be performed only during that time. In such a case, it can be estimated that it may be difficult to change the environment. Therefore, in the present embodiment, when it is not possible to secure a time zone having an equivalent length other than the learning time zone, the process proceeds to step S2105.

  In step S2106, when there is a free time zone, the threshold value calculation unit 297 uses the sensor information comparison unit 273 to set the free time zone start time to ta and end time tb, and x = ta in the function f2 (x). To an integrated value F2 ′ from x to tb is obtained (step S2107). Subsequently, the sensor information comparison unit 273 determines whether or not the integral value F2 ′ <the integral value F1 (step S2108).

  If the integral value F2 ′ <the integral value F1 is not satisfied in step S2108, the threshold value calculation unit 297 proceeds to step S2105.

  In step S2108, when the integral value F2 ′ <the integral value F1 is not satisfied, the sensor value may exceed the output determination threshold even in the idle time zone, and the environment is improved compared to the specified learning time zone. This is the case. In other words, in this case, it can be said that even if the environment is improved, it cannot be improved. Therefore, in this embodiment, the process proceeds to step S2105 even in such a case.

  In step S2108, when integral value F2 ′ <integral value F1, threshold value calculation unit 297, threshold value update unit 278, calculates the median value of the sensor values collected in the specified learning time zone according to the corresponding sensor type. The alarm type is set to the lower limit value (output determination threshold value) of “warning” (step S2109), and the process ends. Although the output determination threshold is updated to the median here, the present invention is not limited to this. For example, the output determination threshold value may be updated to a minimum sensor value or the like, and may be updated so that the output determination threshold value becomes smaller than the current value.

  In step S2108, the case where the integral value F2 ′ <the integral value F1 is a case where the sensor value does not exceed the output determination threshold value in the idle time zone. That is, it can be said that the free time zone is a suitable time zone for learning. Therefore, in step S2109, the output determination threshold value (lower limit value) is decreased in order to promote learning in a better environment.

  In the present embodiment, in step S2105, among the threshold information for each student including the received student ID, the threshold value for each student corresponding to the sensor corresponding to the value of the item “sensor type” is deleted. It is not limited to. In step S <b> 2105, a value (lower limit value) corresponding to the output determination threshold value may be set as the corresponding value stored in the common threshold value database 260 in the threshold value information for each student.

  In the present embodiment, the processes shown in FIGS. 20 and 21 are performed for each sensor that acquires sensor information. Therefore, according to the present embodiment, it is possible to set a threshold value for determining whether to output alarm information for each student terminal 300 according to the learning environment for each student.

  Next, processing of the alarm effect determination unit 298 according to the present embodiment will be described with reference to FIG. FIG. 22 is a flowchart for explaining processing by the alarm effect determination unit.

  The alarm effect determination unit 298 of the present embodiment determines whether or not alarm history information including the received student ID exists in the student-specific alarm history database 282 (step S2201). In other words, the alarm history determination unit 261 determines whether alarm information is displayed on the student terminal 300 corresponding to the received student ID.

  If there is no corresponding alarm history information in step S2201, the process proceeds to step S2212 described later.

  In step S2201, if the corresponding alarm history information exists, the alarm effect determination unit 298 uses the sensor information comparison unit 263 to set the display time included in the corresponding alarm history information to t1, and end the specified learning time period. The time is set to t2 (step S2202).

  Subsequently, the sensor information comparison unit 263 obtains an integrated value F1 from x = t1 to x = t2 in the function f1 (x) (step S2206). Subsequently, the sensor information comparison unit 273 obtains an integrated value F2 from x = t1 to x = t2 in the function f2 (x) (step S2204).

  Next, the sensor information comparison unit 263 determines whether or not the integral value F2 <the integral value F1 (step S2205). That is, the sensor information comparison unit 273 determines whether or not the sensor value sometimes exceeds the lower limit (threshold value) of the alarm type “warning” in the learning time period after the alarm information is displayed. Yes. In other words, the alarm effect determination unit 297 determines whether the environment after the display of the alarm information has improved.

  If the integral value F2 <the integral value F1 is not satisfied in step S2205, the alarm effect determination unit 298 refers to the alarm effect count database 280 by the effect determination unit 264. Then, the effect determination unit 264 adds 1 to the cumulative value of the alarm effect count information in which the item “effect presence / absence” has no effect among the alarm effect count information including the corresponding student ID (step S2206). It progresses to step S2208 mentioned later.

  In step S2205, when the integral value F2 <the integral value F1, the effect determination unit 264 has alarm effect count information in which the value of the item “effect presence / absence” is effective among the alarm effect count information including the corresponding student ID. 1 is added to the accumulated value (step S2207), and the process proceeds to step S2208 described later.

  If the environment improves after the alarm information is displayed, it can be estimated that the student has improved the environment by receiving the alarm information. For this student, displaying the alarm information is effective for improving the environment. Can be considered. Also, if the environment does not improve after the alarm information is displayed, the possibility that the student has ignored the alarm information cannot be denied, and displaying the alarm information for this student will lead to an improvement in the environment. Is hard to think.

  The determination of whether or not there is an effect by displaying the alarm information described above is a process that focuses on the above-described points.

  In steps S2206 and 2207, the effect determination unit 264 updates the update date of the alarm effect count information including the corresponding student ID to the date on which the determination process by the alarm effect determination unit 298 is performed.

  The alarm effect determination unit 298 repeats the processing from step S2201 to step S2207 for the number of times alarm information is displayed (step S2208). In other words, the alarm effect determination unit 298 repeats the processing from step S2201 to step S2207 using all the alarm history information including the corresponding student ID in the alarm history database 282.

  Subsequently, the alarm effect determination unit 298 refers to the alarm effect count database 280 by the effect determination unit 264, and the accumulated value of the alarm effect count information in which the value of the item “effect presence / absence” is “effective” is the item “ It is determined whether or not the value of “effect presence / absence” is larger than the cumulative value of the alarm effect count information “no effect” (step S2209).

  In step S2209, when the cumulative value of the item “effects present” is “effective” and the value of the item “presence / absence” is less than or equal to the cumulative value of “no effect”, the effect determination unit 264 displays an alarm. It is determined that there is no effect on environmental improvement by displaying information. Then, the alarm effect determination unit 298 sets the value of the item “determination result” of the alarm effect determination information including the received student ID to “no effect” in the alarm effect determination database 281 by the determination result setting unit 267 (step S2210). ), The process is terminated.

  In step S2209, if the cumulative value of the item “effect presence / absence” is “effective” and the item “effect presence / absence” is larger than the cumulative value of “no effect”, the effect determination unit 264 displays the alarm information. It is judged that there is an effect on the environmental improvement by display. Then, the alarm effect determination unit 298 causes the determination result setting unit 267 to set the value of the item “determination result” of the alarm effect determination information including the received student ID to “effective” in the alarm effect determination database 281 (step S2211). ), The process is terminated.

  In step S2210 and step S2211, the determination result setting unit 267 updates the value of the item “update date” on the day when the alarm effect determination process is performed.

  If there is no corresponding alarm history information in step S2201, the alarm effect determination unit 298 determines whether alarm effect determination information including the received student ID exists in the alarm effect determination database 281 (step S2201). Step S2212).

  If there is no corresponding alarm effect determination information in step S2212, the alarm effect determination unit 298 ends the process.

  If there is corresponding alarm effect determination information in step S2212, the alarm effect determination unit 298 determines whether or not the determination result is valid by the effective days determination unit 266 (step S2213). Specifically, the effective day determination unit 266 determines whether or not the date on which the alarm effect determination process is performed is a date that is within the alarm effect determination effective days from the update date included in the corresponding alarm effect determination information. .

  If the determination result is not valid in step S2213, the determination result setting unit 267 sets the value of the item “determination result” of the corresponding alarm effect determination information to an initial value (step S2214), and ends the process. The initial value is “unknown”, for example.

  That is, the determination result setting unit 267 determines the alarm effect determination information when the alarm effect determination processing date has passed more than the number of effective alarm effect determination days from the update date included in the corresponding alarm effect determination information. The result is regarded as invalid and the determination result is set as an initial value.

  If the determination result is valid in step S2213, the alarm effect determination unit 298 ends the process.

  As described above, according to this embodiment, after displaying alarm information, it is determined whether or not the sensor value may exceed a threshold value, so that the display of alarm information has an effect on environmental improvement. Determine whether or not you are playing.

  Next, with reference to FIG. 23, the processing of the threshold value calculation unit 297 and the alarm effect determination unit 298 of the present embodiment will be specifically described.

  FIG. 23 is a diagram specifically explaining the processing of the threshold value calculation unit and the alarm effect determination unit. FIG. 23 shows sensor information in the case of a microphone with a student ID “001”.

  In FIG. 23, time ts is the time when collection of sensor information is started, that is, the time when the teacher terminal 200 transmits a sensor activation request together with the content to the student terminal 300. The time te is the time when the collection of sensor information is finished, that is, the time when the student terminal 300 transmits the answer information to the teacher terminal 200.

  In this embodiment, for example, a student downloads content in a classroom or the like at time ts, takes it home and answers a question about the content, and the next morning, at time te, the teacher terminal 200 sends response information and sensor information and the like in the classroom. It is assumed that usage scenes such as uploading to.

  In the example of FIG. 23, the student terminal 300 with the student ID “001” downloads the content at the time ts on May 16, 2015, and receives the response information and the sensor information at the time te on May 17, 2015. It is assumed that it has been transmitted to the teacher terminal 200.

  In the example of FIG. 23, the time from time t1 to time t2 is the learning time zone. This time zone is larger than the function f2 (x) defined by the integral value F1> threshold value of the function f1 (x) defined by the sensor information.

  This means that the learning time zone environment is not suitable for learning. Therefore, the threshold value calculation unit 297 performs processing for calculating a threshold value.

  Here, the correct answer rate of the student with the student ID “001” is 30%, and the correct answer rate of the common master database 270 is 60%. The student with the student ID “001” has his / her own alarm history information and alarm effect determination information. However, in the alarm effect determination information including the student ID “001”, the update date is May 11, 2015 and the alarm effect determination effective number of days is 3, so this alarm effect determination information is invalid.

  Therefore, the threshold calculation unit 297 does not update the student threshold information. That is, it is estimated that the student with the student ID “001” is in a situation where it is difficult to improve the environment. Therefore, although the environment improvement is difficult, the alarm information repeatedly prompting the environment improvement is provided. Output can be prevented. On the other hand, when the alarm effect determination information includes the student ID “001” and the update date is within the alarm effect determination effective days such as May 15, 2015, the alarm effect determination information becomes valid. Therefore, the threshold value calculation unit 297 detects an empty time zone. According to FIG. 23, the learning time of the student with the student ID “001” is about 2 hours. It can also be seen that the student with the student ID “001” has a free time zone of about 2 hours even in a time zone other than the learning time zone except for the night. In the example of FIG. 23, two hours from 21:00 to 23:00 are detected as the free time zone.

  In this case, the integral value F2 ′ of the function f2 (x) from the start time ta to the end time tb of the idle time zone is smaller than the integral value F1. That is, in the free time zone from the start time ta to the end time tb, the sensor information does not exceed the output determination threshold, and it can be said that the environment is more suitable for learning than the learning time zone. That is, it can be understood that the student with the student ID “001” can improve the environment by shifting the learning time zone at least, and the student with the student ID “001” has a method for improving the environment.

Therefore, the threshold value calculation unit 297 sets the median value of the sensor information values received at times t1 to t2 as the output determination threshold value. That is, the threshold calculation unit 297 sets the lower limit “40” corresponding to the sensor type “microphone” and the alarm type “warning” as the sensor value in the student threshold information including the student ID “001” in the student threshold database 250. Update to median “55”. (See Figure 7)
If the output determination threshold is updated in this way, the next time the student with the student ID “001” starts collecting sensor information, the alarm ID “am003” when the sensor value detected from the microphone becomes 55 db or more. The corresponding alarm information is displayed on the student terminal 300. That is, the student terminal 300 determines whether to output alarm information on the assumption that the environment has been improved.

  For example, when the sensor information exceeds the updated output determination threshold, the student terminal 300 displays alarm information of the alarm ID “am003” corresponding to the sensor type “microphone” and the alarm type “warning”. In addition, when the sensor information exceeds the switching determination threshold (the lower limit value of the sensor type “microphone” and the alarm type “stop”), the student terminal 300 has an alarm ID corresponding to the sensor type “microphone” and the alarm type “stop”. The alarm information “am004” is displayed.

  Next, with reference to FIGS. 24 to 26, the update of the output determination threshold for sensors other than the microphone will be described.

  FIG. 24 is a diagram illustrating processing of the threshold value calculation unit and the alarm effect determination unit when the sensor type is an illuminance sensor. The sensor information illustrated in FIG. 24 is information acquired from the illuminance sensor, and is collected from the time ts to the time te, similarly to the sensor information illustrated in FIG.

  In the threshold information for each student whose sensor type is “illuminance sensor”, the upper limit value of the alarm type “warning” is the output determination threshold value, and the upper limit value of the alarm type “stop” is the switching determination threshold value.

  Therefore, in this case, when the integrated value F2 becomes smaller than the integrated value F1, the student threshold information is updated.

  That is, in the process of the threshold value calculation unit 297 when the sensor type is an illuminance sensor, the inequality sign may be reversed in step S2008 in FIG. 20, step S2108 in FIG. 21, and step S2205 in FIG. Specifically, in step S2008 in FIG. 20 and step S2205 in FIG. 22, it may be determined whether or not the integral value F2 <the integral value F1, and in step S2108 in FIG. 21, the integral value F2 ′> the integral value. What is necessary is just to determine whether it is F1.

  In the process of the threshold value calculation unit 297 when the sensor type is an illuminance sensor, the minimum value of the sensor value may be set as the output determination threshold value (the upper limit value of the alarm type “warning”) in step S2102 of FIG. When the sensor type is an illuminance sensor, the student terminal 300 displays alarm information of the alarm type “warning” when the sensor information is smaller than the output determination threshold, and when the sensor information is smaller than the switching determination threshold. , Alarm information of alarm type “stop” is displayed.

  FIG. 25 is a diagram illustrating processing of the threshold value calculation unit and the alarm effect determination unit when the sensor type is an acceleration sensor. The sensor information shown in FIG. 25 is information acquired from the acceleration sensor, and is collected from time ts to time te, similar to the sensor information shown in FIG.

  In the threshold information for each student with the sensor type “acceleration sensor”, as in the case of the illuminance sensor, the upper limit value of the alarm type “warning” is the output determination threshold value, and the upper limit value of the alarm type “stop” is the switching determination threshold value. .

  Therefore, also in this case, when the integrated value F2 becomes smaller than the integrated value F1, the student threshold information may be updated.

  FIG. 26 is a diagram for explaining processing of the threshold value calculation unit and the alarm effect determination unit when the sensor type is a gyro sensor. The sensor information shown in FIG. 26 is information acquired from the acceleration sensor, and is collected from time ts to time te, similar to the sensor information shown in FIG.

  In the threshold value for each student whose sensor type is “gyro sensor”, as in the case of the microphone, the lower limit value of the alarm type “warning” is the output determination threshold value, and the lower limit value of the alarm type “stop” is the switching determination threshold value.

  As described above, in this embodiment, the output determination threshold value of each sensor is updated for each student terminal 300.

  Next, alarm information display control in the student terminal 300 will be described. FIG. 27 is a diagram illustrating an example of alarm information. A table 71 illustrated in FIG. 27 illustrates an example of information stored in the alarm information storage unit 315.

  In the table 71, an alarm ID and alarm information are associated with each other. In the student terminal 300 of this embodiment, the display control unit 314 refers to the table 71 to display alarm information.

  FIG. 28 is a flowchart for explaining display of alarm information at the student terminal. The process shown in FIG. 28 shows details of step S1811 in FIG.

  The learning processing unit 310 of the student terminal 300 uses the alarm output determination unit 313 to compare the sensor information collected from each sensor with the threshold information for each student received from the teacher terminal 200 (step S2801).

  Subsequently, the learning processing unit 310 determines whether or not the sensor information is a value collected from the microphone or the gyro sensor by the alarm output determination unit 313 (step S2802). It progresses to step S2807 mentioned later.

  In step S2802, if it is a microphone or gyro sensor, the alarm output determination unit 313 determines whether or not the sensor value is larger than the output determination threshold value of the student threshold information (lower limit value of the alarm type “warning”). Step S2803). In step S2803, when it is below the output determination threshold value, the alarm output determination unit 313 returns to step S2801.

  If it is greater than the output determination threshold value in step S2803, the alarm output determination unit 313 determines whether the sensor value is greater than the switching determination threshold value for the student threshold information (lower limit value of the alarm type “stop”) (step S2804). ).

  In step S2804, if larger than the switching determination threshold, the alarm output determination unit 313 causes the display control unit 314 to display alarm information corresponding to the alarm type “stop” (step S2805), and the process proceeds to step S1812 in FIG.

  Specifically, the display control unit 314 acquires an alarm ID corresponding to the alarm type “stop” in the threshold information for each student of the corresponding sensor. Then, the display control unit 314 refers to the table 71 stored in the alarm information storage unit 315, and displays the alarm information corresponding to the acquired alarm ID on the input / output device of the student terminal 300.

  In step S2804, when the switching determination threshold is less than or equal to the threshold value, the alarm output determination unit 313 causes the display control unit 314 to display alarm information corresponding to the alarm type “warning” (step S2806), and to step S1812 in FIG. move on.

  Specifically, the display control unit 314 acquires an alarm ID corresponding to the alarm type “warning” in the threshold value information for each student of the corresponding sensor. Then, the display control unit 314 refers to the table 71 stored in the alarm information storage unit 315, and displays the alarm information corresponding to the acquired alarm ID on the input / output device of the student terminal 300.

  If it is determined in step S2802 that the sensor is not a microphone or gyro sensor, the alarm output determination unit 313 determines whether the sensor value is smaller than the output determination threshold value (upper limit value of the alarm type “warning”) of the student-specific threshold information of the corresponding sensor. Determination is made (step S2807). In step S2807, when it is equal to or greater than the output determination threshold, the alarm output determination unit 313 returns to step S2801.

  If it is smaller than the output determination threshold value in step S2807, the alarm output determination unit 313 determines whether or not the sensor value is smaller than the switching determination threshold value (upper limit value of the alarm type “stop”) of the student-specific threshold information of the corresponding sensor. (Step S2808).

  In step S2808, if smaller than the switching determination threshold, the display control unit 314 proceeds to step S2805. In step S2808, when it is more than the switching determination threshold value, the display control unit 314 proceeds to step S2806.

  In the student terminal 300 of this embodiment, alarm information is displayed by the above process. FIG. 29 is a diagram illustrating an example of a screen on which alarm information is displayed. FIG. 29A shows an example of a screen of the student terminal 300 when the sensor value collected from the microphone is larger than the output determination threshold and not more than the switching determination threshold. FIG. 29B shows an example of a screen of the student terminal 300 when the sensor value collected from the microphone is larger than the switching determination threshold.

  A dialog box 303 including alarm information 302 is displayed on a screen 301A illustrated in FIG. The alarm information 302 is alarm information corresponding to the alarm ID “am0003” whose alarm type is “Warning” in the threshold value for each student whose sensor type is microphone in the table 71 (see FIG. 27).

  On the screen 301A, the dialog box 303 displays a button 304 for ending the display of the dialog box 303. In the student terminal 300 of the present embodiment, when the button 304 is operated, the dialog box 303 disappears and learning can be continued.

  A dialog box 306 including alarm information 305 is displayed on a screen 301B illustrated in FIG. The alarm information 305 is alarm information corresponding to the alarm ID “am0004” whose alarm type is “stop” in the threshold value for each student whose sensor type is microphone in the table 71 (see FIG. 27).

  The dialog box 306 does not display a button for ending the display of the dialog box 306. In this case, in the student terminal 300 of the present embodiment, the display of the dialog box 306 may be continued until the sensor value becomes equal to or lower than the switching determination threshold value. By continuing to display the dialog box 306, learning in an environment that is not suitable for learning can be interrupted.

  In this embodiment, the alarm information is displayed as a message, but the present invention is not limited to this. Instead of displaying a message as alarm information, the student terminal 300 may output audio, for example, turn on a light source such as an LED, or vibrate the student terminal 300. The alarm information may be information output for the purpose of promoting environmental improvement.

  In the present embodiment, the teacher terminal 200 plays the role of a learning support device. However, the present invention is not limited to this. The learning support device and the teacher terminal 200 may be different devices, and the learning support device may include the learning support processing unit 290.

In the disclosed technology, forms such as the following supplementary notes are conceivable.
(Appendix 1)
For each terminal device, a process of obtaining sensor information collected from sensors of the terminal device and answer information including an answer to the question;
A process of calculating a threshold value used for determining whether to output alarm information output according to the sensor information, for each terminal device, based on a correct answer rate of the answer included in the answer information;
The learning support program which makes a computer perform the process which outputs the said threshold value to the said corresponding terminal device.
(Appendix 2)
The output process is as follows:
The learning support program according to appendix 1, wherein when a download request for content including the question is received from the terminal device, a threshold value of the terminal device is output to the terminal device that has made the download request.
(Appendix 3)
The sensor information is
Sensor information collected in a time period from when the terminal device accepts the sensor activation request to when the response information transmission request is accepted,
The learning support program according to appendix 1 or 2, wherein the sensor activation request is output to the terminal device together with the threshold value.
(Appendix 4)
The answer information includes an answer time when the question is answered,
The calculation process is as follows:
Based on the answer information, in the time zone when the sensor information was collected, identify the learning time zone during which the answer to the question was performed,
The learning support program according to supplementary note 3, wherein the threshold value is calculated according to a comparison result between the sensor information and the threshold value in the learning time period.
(Appendix 5)
The comparison between the sensor information and the threshold is as follows:
By comparing the integration value of the learning time zone in the first function defined from the threshold value and time with the integration value of the learning time zone in the second function defined from the sensor information and time A learning support program according to appendix 4.
(Appendix 6)
The calculation process is as follows:
When the accuracy rate exceeds a predetermined value, the upper limit value or lower limit value of the sensor value included in the sensor information is set as the threshold value,
When the accuracy rate is equal to or less than a predetermined value, the storage unit storing information indicating whether or not there is an effect on the output of the alarm information for each terminal device is referred to, and the output of the alarm information is effective. The learning support program according to appendix 5, wherein the threshold value is calculated when the information indicating presence / absence is valid.
(Appendix 7)
The calculation process is as follows:
When there is an effect on the output of the alarm information and the information indicating the presence or absence of the effect is valid,
In the time zone when the sensor information was collected, a free time zone other than the learning time zone and having the same length as the learning time zone is detected,
The threshold value is set as the median value of the sensor information according to a result of comparing the integration value of the idle time zone in the first function and the integration value of the idle time zone in the second function. 6. The learning support program according to 6.
(Appendix 8)
The storage unit stores alarm history information including a time when alarm information is output for each terminal device,
For the terminal device in which the alarm history information exists,
The learning support program according to appendix 6 or 7, which causes the computer to execute a process of determining whether or not there is an effect on the output of the alarm information.
(Appendix 9)
The determination process is as follows:
In the learning time zone, from the time when the alarm information is output to the end time of the learning time zone,
Comparing the first integral value of the time zone in the first function with the second integral value of the time zone in the second function;
When the second integral value is larger than the first integral value, it is determined that there is an effect of the alarm information output at the time,
The learning support program according to appendix 8, wherein when the second integral value is equal to or less than the first integral value, it is determined that the alarm information output at the time is not effective.
(Appendix 10)
The process to obtain is
For each terminal device, gaze detection information obtained by detecting a gaze facing the terminal device from image data captured by a camera of the terminal device is acquired together with the sensor information and the answer information.
The calculation process is as follows:
The learning support program according to any one of appendices 4 to 9, wherein the learning time zone is specified based on the answer information and the line-of-sight detection information.
(Appendix 11)
The learning support program according to any one of appendices 1 to 10, wherein the alarm information includes information that prompts improvement of an environment of a place where the terminal device is located.
(Appendix 12)
The learning support program according to any one of appendices 1 to 11, wherein the sensor includes at least one of a microphone, an illuminance sensor, an acceleration sensor, and a gyro sensor.
(Appendix 13)
For each terminal device, an acquisition unit that acquires sensor information collected from a sensor of the terminal device and answer information indicating an answer to a question input in the terminal device;
Based on the correct answer rate of the answer included in the answer information, for each of the terminal devices, a calculation unit that calculates a threshold value used for determining whether to output alarm information output according to the sensor information;
An output unit that outputs the threshold value to the corresponding terminal device.
(Appendix 14)
A learning support method by a learning support system having a terminal device and a learning support device,
The learning support device includes:
For each terminal device, sensor information collected from the sensor of the terminal device and answer information indicating an answer to the question input in the terminal device are acquired,
Based on the correct answer rate of the answer included in the answer information, for each of the terminal devices, calculate a threshold value used for determining whether to output alarm information output according to the sensor information,
A learning support method for outputting the threshold value to the corresponding terminal device.
(Appendix 15)
A process of accepting content including questions, a sensor activation request, and threshold information, and collecting sensor information detected by the sensor;
A process for determining whether to output alarm information by comparing the threshold information and the sensor information when the content is displayed;
A learning program for causing a computer to execute a process of outputting the collected sensor information and the answer information in response to a response information transmission request including an answer to the question.
(Appendix 16)
The output process is as follows:
The learning program according to supplementary note 15, wherein alarm history information describing a history of output of the alarm information is output together with the collected sensor information and the answer information.
(Appendix 17)
A collection unit that receives content including a question, a sensor activation request, and threshold information, and collects sensor information detected by the sensor;
A determination unit that determines whether to output alarm information by comparing the threshold information and the sensor information when the content is displayed;
A terminal device having an output unit that outputs the collected sensor information and the answer information in response to a transmission request for answer information including an answer to the question.

  The present invention is not limited to the specifically disclosed embodiments, and various modifications and changes can be made without departing from the scope of the claims.

DESCRIPTION OF SYMBOLS 100 Learning support system 200 Teacher terminal 210 Student database 220 Eye-gaze detection database 230 Learning result database 240 Sensor information database 250 Student threshold database 260 Common threshold database 261 Alarm history determination part 262 Display time acquisition part 263, 273 Sensor information comparison part 264 Effect Determination unit 267 Determination result setting unit 270 Common master database 271 Learning time specifying unit 272 Correct rate calculation unit 277 Free time case unit 278 Threshold update unit 280 Alarm effect count database 281 Alarm effect determination database 282 Alarm history database 290 Learning support processing unit 291 311 Input reception unit 292 Content output unit 293 Sensor activation request unit 294 Threshold output unit 295 Sensor information acquisition unit 96 the threshold value calculation unit 297 alarm effect determination unit 300 student terminal 310 learning processing section 313 alarm output judging section 314 display control section 315 alarm information storage unit 319 information output portion

Claims (8)

For each terminal device, a process of obtaining sensor information collected from sensors of the terminal device and answer information including an answer to the question;
A process of calculating a threshold value used for determining whether to output alarm information output according to the sensor information, for each terminal device, based on a correct answer rate of the answer included in the answer information;
A process of outputting the threshold value to the corresponding terminal device;
Learning support program that causes a computer to execute. The output process is as follows:
The learning support program according to claim 1, wherein when a download request for content including the question is received from the terminal device, a threshold value of the terminal device is output to the terminal device that has made the download request. The sensor information is
Sensor information collected in a time period from when the terminal device accepts the sensor activation request to when the response information transmission request is accepted,
The learning support program according to claim 1, wherein the sensor activation request is output to the terminal device together with the threshold value. The answer information includes an answer time when the question is answered,
The calculation process is as follows:
Based on the answer information, in the time zone when the sensor information was collected, identify the learning time zone during which the answer to the question was performed,
The learning support program according to claim 3, wherein the threshold value is calculated according to a comparison result between the sensor information and the threshold value in the learning time period. The calculation process is as follows:
When the accuracy rate exceeds a predetermined value, the upper limit value or lower limit value of the sensor value included in the sensor information is set as the threshold value,
When the accuracy rate is equal to or less than a predetermined value, the storage unit storing information indicating whether or not there is an effect on the output of the alarm information for each terminal device is referred to, and the output of the alarm information is effective. The learning support program according to claim 4, wherein the threshold value is calculated when information indicating presence / absence is valid. The storage unit stores alarm history information including a time when alarm information is output for each terminal device,
For the terminal device in which the alarm history information exists,
The learning support program according to claim 5, which causes the computer to execute a process of determining whether or not there is an effect on the output of the alarm information. For each terminal device, an acquisition unit that acquires sensor information collected from a sensor of the terminal device and answer information indicating an answer to a question input in the terminal device;
Based on the correct answer rate of the answer included in the answer information, for each of the terminal devices, a calculation unit that calculates a threshold value used for determining whether to output alarm information output according to the sensor information;
An output unit that outputs the threshold value to the corresponding terminal device. A learning support method by a learning support system having a terminal device and a learning support device,
The learning support device includes:
For each terminal device, sensor information collected from the sensor of the terminal device and answer information indicating an answer to the question input in the terminal device are acquired,
Based on the correct answer rate of the answer included in the answer information, for each of the terminal devices, calculate a threshold value used for determining whether to output alarm information output according to the sensor information,
A learning support method for outputting the threshold value to the corresponding terminal device.

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