JP2007226088A - Learning device and learning system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a learning device, an informing device of the learning device and a learning system, capable of not only repeatedly setting problems but repeatedly learning contents which is desired to learn. <P>SOLUTION: An answer of a problem corresponding to a problem storing means 2 is input from an input means 1, and the answer and an answer stored in an answer storing means 3 are compared and determined by using an answer determining means 4. A result is stored in an answer result storing means 11. Based on a wrong answer rate and the number of cycles of a problem re-setting, a classification of information when the problem is re-set, is determined and it is informed from the information means 8 when re-setting the problem. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to an electrically operated learning machine and learning machine system.

It is expected that questions will be determined so that the learning effect will be enhanced according to the results of previous questions or the answer of the learner, the genre deviation of the genre of the questions will be eliminated, and problems that are difficult to remember or forgotten A technique for setting up a problem is disclosed. See Patent Document 1.
JP-A-6-289767

  In the conventional technique, when a question is given, the next question can be determined according to the answer result. However, no problem is presented unless the user operates the learning machine. Depending on the answer results, questions to be asked can be determined, but if no questions are given, it is not possible to repeatedly learn difficult or forgotten questions. An object of the present invention is to provide a learning machine and a learning machine system that not only determine a problem, but also give a question to the user, easily know that the user has asked, and repeatedly learn a predetermined problem or a predetermined answer. It is said.

  The learning machine of the present invention includes a problem storage means for storing a problem, an answer storage means for storing an answer corresponding to the problem, a problem selection means for selecting a question from the problem storage means, and the question selection means Display means for displaying the question selected in the above, answer input means for inputting an answer to the question displayed on the display means, an answer input from the answer input means, and an answer stored in the answer storage means In a learning machine having an answer determination means for comparing and outputting the result as an answer result, and an answer result storage means for storing the answer result, a wireless communication means for performing wireless communication with an external device, and an external device On the other hand, there are two systems of notification means, an external notification means for performing notification via the wireless communication means and an internal notification means for performing notification in the learning machine, and the answer results are counted for each question. A rank means for calculating a rank based on a correct answer rate with respect to a number; a rank storage means for storing the rank; and a clock means for measuring time and outputting time data. The answer, the answer result, and the rank are stored in association with each other, and when the question is given, the fact that the question has been given is notified by the notification means based on the rank. To do.

  Still further, the problem, the answer corresponding to the problem, the answer result, and related information storage means for storing related information related to the problem in association with the rank, and based on the rank When the notification is performed, the related information may be added to be notified, or the external notification unit includes an electronic mail unit, and when the notification selects the external notification unit, the related information is stored in the email. In addition to the content, it may be transmitted to a predetermined external device, or the rank of the problem may be changed based on the number of notifications for the same problem.

  Furthermore, the information processing apparatus may further include related information storage means for storing time zone information corresponding to the problem, and the problem selection means may select the problem based on the time data, the rank, and the time zone information. .

  In addition, the learning machine described above may use internal notification means for notification of a problem having a predetermined rank with a high accuracy rate, and may use external notification means for notification of a problem having the predetermined rank with a low accuracy rate.

  In the learning machine system of the present invention, the external notification unit of the learning machine includes an external device instruction unit, the external device is a mobile phone, and the mobile phone downloads a program and executes the program. Thus, an instruction from the external device instruction means is executed.

  The learning machine of the present invention can learn the content of the problem to be remembered by displaying the content of the problem to be remembered by notification at a predetermined timing. Further, by connecting the learning device and the learning notification device wirelessly and performing the notification with the learning notification device, it can be seen that the learning notification device is notified even when the learning device is in a hidden place.

  Further, in the present invention, since the notification of the questions is performed by the mobile phone, it is possible to share the device, and by downloading the program, the same service can be received even if the model is changed.

  The present invention will be described with reference to the drawings. FIG. 1 is a block diagram showing an embodiment of the present invention.

  The input means 1 is a keyboard for inputting and operating keys such as keys for inputting letters, numbers and symbols, and keys for instructing to move the cursor position. The control means 13 is a control means for performing control of data input / output, calculation, etc., and controlling the entire learning machine. The external notification means 50 is a means for notifying an external device, and is, for example, an electronic mail means for sending / receiving electronic mail via a network, an external device instruction means for controlling an external device via a network, or the like.

  The problem storage means 2 is a storage means for storing a problem that is given by the learning machine. The answer storage unit 3 is a storage unit that stores an answer corresponding to the question stored in the question storage unit 2. The question stored in the question storage unit 2 and the answer stored in the answer storage unit 3 are stored in association with each other so that the answer to the question corresponds. The ROM 10 stores setting information for learning machine control and a program for controlling the learning machine. The memory can be a non-volatile memory such as a flash memory or a ROM, a memory card that can be attached to and detached from the main body, and a storage medium that uses magnetism or light such as a CD, DVD, HDD, or MD.

  The clock unit 12 measures time and outputs time data to the control unit 13. The internal notification means 8 has a speaker, a motor, and an LED, and notifies by a sound, vibration or light emission according to a request from the control means 13. The RAM 9 temporarily stores data and is used as a work area for operations of the control means 13.

  The wireless communication means 6 is a communication means for communicating with an external device wirelessly. Communication is performed using infrared communication such as IrDA and short-range wireless communication such as Bluetooth.

  The question data and the answer data will be described with reference to FIG. FIG. 3 is a configuration diagram showing a data configuration in question. It is the figure which represented the data of a problem and an answer collectively. The data consists of question number 25, question content 26, and answer 27 data. The problem number 25 is a unique number assigned to each of a plurality of problems. The question content 26 is data of the content of the question to be asked. Answer 27 is answer data corresponding to the contents of the question.

  The answer determination means 4 is a means for comparing the answer input for the problem with the answer corresponding to the problem to determine whether the answer is correct or incorrect.

  The problem data stored in the problem storage means 2 is selected by the problem selection means 52, displayed on the display means 7, and a user who sees the problem inputs an answer using the input means 1. Answer input means is included in the input means 1. The input answer is stored in the RAM 9. The answer stored in the RAM 9 and the answer corresponding to the problem stored in the answer storage means 3 are compared by the answer determination means 4 to determine correctness. The determination result is stored in the RAM 9. The determination result is displayed on the display means 7.

  The determination result is stored in the answer result storage unit 11. Data stored in the answer result storage main means 11 will be described with reference to FIG. FIG. 4 is a block diagram showing the data structure of the answer results. It consists of a problem number 25 and problem data 28. The question data 28 is composed of the number of questions 29, the number of correct answers 30, questions data 31, and a schedule 32. The question data 31 includes a number 33, a question date 34, and a result 35. The notification schedule 32 includes a rank 36 and a notification count 37. A rank storage means (rank 36) is included in the answer result storage main means 11, and the rank is stored.

  The data corresponding to the answered questions is organized as a group. The number of questions 29 stores the number of times the question has been asked. The correct answer count 30 stores the correct answer count of the answer to the question. The question data is stored for 10 times. When the number of times exceeds 10, the data corresponding to the oldest answered question is deleted, and the data corresponding to the latest answered question is stored. The number of times 33 stores the number of times the question has been given. The date and time of the question is taken and stored from the clock means 12 when the question is given. The result 35 is stored as 1 if the answer is correct and 0 if incorrect. For example, when the number 33 is 1, the date and time of the question is 9:45 on December 31, 2005, indicating that the answer result of the question that was given at this time is incorrect. The rank 36 is a rank corresponding to the problem, and is calculated and determined by the rank means 5 from the past predetermined number of response results. The rank is determined by the accuracy rate of the past 10 answers to the question. If the correct answer is 8 times or more, rank 1 is rank 2 if 5 or 7 times, rank 3 if 2 or 4 times, rank 4 if 0 or 1 time. The number of notifications 37 is the number of notifications. The number of questions 31 and the number of correct answers 30 are counted and the answers are counted as correct answers.

  The questioned data is stored 10 times, but if you store it indefinitely, the memory capacity will be limited and you will not be able to store it, and if it is too old data it will not reflect the current user's ability This is to secure appropriate data. Further, it is possible to set an appropriate predetermined number of times instead of 10 times. The appropriate number of times can be a predetermined number of times suitable for estimating the current capability, for example, the result of the past three times. In addition, by deleting or not using data that has passed a predetermined time, for example, one week, it is possible to avoid using old data and to obtain more accurate data for estimating the current capability. .

  FIG. 7 is a block diagram showing the configuration of the notification data of the present invention. In the figure, the columns are represented by a table divided by using the number of notifications 48 and the rows using rank 49. The number of notifications 48 and rank 49 correspond to the number of notifications 37 and rank 36 that are components of the notification schedule 32. The rank is determined according to the error rate for the problem, but as the number of mistakes increases, the question is repeated or the user wants to learn the contents to be remembered. By changing the notification method for the questions, the consciousness is further increased and the learning effect is enhanced. For example, at rank 1, if the number of notifications is 5 or more, notification is made randomly; if the number of notifications is 3 or more, notification is made by an alarm; if it is 1 or more, notification is made by sound; if it is 0 or more, sound is made Notification. The learning effect is enhanced by performing notification that is more effective as the number of notifications is smaller. The learning effect is further enhanced by determining effective notification in consideration of the rank and the number of notifications. Learning more effective can be achieved by making a program or setting so that the probability of giving a question that has a high rank and a small number of notifications is set higher than other questions.

  In the present embodiment, the learning effect is enhanced by raising the consciousness about learning by alarming, mailing, voice, vibration, or informing them at random.

  FIG. 2 is a block diagram showing the second embodiment. The CPU 23 is used to control the entire learning machine, operates according to the control program stored in the ROM 16, and uses the RAM 15 as a work area. Various displays are performed using the LCD 18 as a display means. The speaker 19 and the motor 20 are used as the notification means to notify by sound and vibration. The keyboard 14 is used for inputting answers and selecting problems. Even when the power is turned off using the flash memory 17, information remains so as to store the answer result and the like. A wireless circuit 21 is connected to the CPU 23 to communicate with other devices wirelessly. An antenna 22 is connected to the radio circuit 21. Counting every second and storing it in the flash memory 17 can be used as a clock.

  FIG. 6 is a block diagram showing a third embodiment of the present invention. It is an example of the learning machine alarm. The same numbers are used for the same components as in FIG. The mobile phone communication means 47 and the second wireless communication means 46 are provided as the wireless communication means. The mobile phone communication means 50 can connect to another mobile phone or network connected to the mobile phone communication network. The second wireless communication means 46 is a wireless communication means such as IRDA or Bluetooth, and connects to nearby devices wirelessly. It can also be used as a notification device by connecting and communicating with the learning machine by the second wireless communication means 46. It can also be used as a learning machine with a mobile phone function. The e-mail means 50 is means for sending and receiving e-mail. When an e-mail is received, the reception is notified. At that time, notification is performed by changing the notification type from the header information of the mail.

  FIG. 5 is a block diagram showing a fourth embodiment of the present invention. The case where the learning machine is connected to a network is shown. The learning machine 38 is a learning machine according to the third embodiment shown in FIG. 6, and can perform wireless communication by a mobile phone and short-range wireless communication.

  The learning device 38 can communicate with the mobile phone 39, the mobile phone base station 42, and the wireless IF 40. The learning device 38 communicates with the mobile phone 39 or the wireless IF 40 using the second wireless communication means 46. The learning device 38 communicates with the mobile phone base station 42 using the mobile phone communication means 47.

  When the learning device 38 communicates with the mobile phone 39, it connects to the network 43 via the mobile phone 39 and the mobile phone base station 42. When the learning device 38 communicates with the mobile phone base station 42 using the mobile phone communication means 47, the learning device 38 connects to the network 43 via the mobile phone base station 42. When the learning device 38 communicates with the wireless IF 40 using the second wireless communication means 46, the learning device 38 is connected to the network 43 via the wireless IF 40, the PC 41 that is a computer that controls the wireless interface and the communication control with the network.

  The network 43 is an internet communication network. The network 43 is connected to the server 44. The server 44 is connected to the history storage device 45.

  The learning machine 38 can be connected to the history storage device 45. Various paths can be used for connection. The history storage device 45 stores a learning history of the learning machine such as a question given by the learning machine and an answer thereto. Part of the processing performed by the learning machine can be performed by the server via the network. Further processing can be performed. As another form, a program for receiving instructions from the learning machine is stored in the server 44, and a program for receiving instructions is stored in the memory of the mobile phone when the mobile phone downloads the program via the network (for example, A program such as JAVA) By executing it, the same function can be used even if the model is easily changed.

  Next, the operation in the case of the second embodiment shown in FIG. 2 will be described using a flowchart.

  FIG. 8 is a flowchart for explaining the ranking operation for the problem.

  Step S1 is the start of processing.

  Step S2 is a problem display process. The ROM 16 stores problem data of the configuration having the problem number 25 and the problem 26 of the configuration shown in FIG. One of the problems is displayed on the LCD 18. At that time, the time data of the counted clock is temporarily stored in the RAM.

  Step S3 is an answer input process. An answer to the displayed problem is input using the keyboard 14. The input answer is temporarily stored in the RAM 15.

  Step S4 is a process of counting the number of questions. Increment the number of questions for a given question. The answer result data shown in FIG. 4 is stored in the flash memory 17. The number of questions is incremented with respect to the data corresponding to the question number of the question that has been asked.

  Step S5 is an answer determination process. The answer corresponding to the question entered from among the problems stored in the ROM 16 is compared with the input answer stored once in the RAM 15, and if they match, the answer is correct and if it does not match, the answer is determined to be incorrect. If the answer is correct, the process proceeds to step S6. If the answer is incorrect, the process proceeds to step S9.

  In step S6, correct answer counting processing is performed. This increments the number of correct answers 30 corresponding to the given question.

  Next, step S7 is a step for storing the date and the result. The number of questions is set to 33, the time data stored in the RAM in step S2 is stored as the question date and time 34, and the answer result of the given question is stored as a result 35 in the data area corresponding to the problem. Next, the process proceeds to step S8.

  Here, step S9, which is another branch destination process of step S5, is a process that proceeds when the answer is incorrect in the process of step S5. Step S9 is processing for storing the date and the result. The number of questions is set to 33, the time data stored in the RAM in step S2 is stored as the question date and time 34, and the answer result of the given question is stored as a result 35 in the data area corresponding to the problem. Next, the process proceeds to step S8.

  Step S8 is rank determination processing. This is done by referring to the past 10 data stored in the question data 31 and determining the rank based on a predetermined condition. Here, if the correct answer is 8 times or more, rank 1 is rank 2, if it is 5 to 7 times, rank 2; if it is 2 to 4 times, rank 3; if it is 0 to 1 time, rank 4 is assumed. The rank determined here is stored in rank 36.

  The next step S10 is the end of this process.

  FIG. 9 is a flowchart regarding the notification process. This processing is notified at a predetermined time, a predetermined time, or a predetermined number of times at an arbitrary timing within a predetermined time, for example, processing at an arbitrary timing twice per hour. Process. Since the clock means 12 is provided, the notification processing is performed by generating timing using the interrupt processing from the clock or the monitoring processing. For example, a processing time is set in advance, and when the time comes, time coincidence detection is performed like a clock alarm, and when the times coincide, the processing is started. Alternatively, interrupts are randomly generated twice in one hour, and processing is started by a randomly generated interrupt.

  Step S11 is the start of processing.

  Step S12 is a process for determining a problem to be notified. Here, a problem to be notified at random is determined from the problems that have been asked in the past.

  Step S13 is a process of determining a notification method based on the rank and the number of notifications. The notification method is determined by searching the notification method shown in FIG. 7 from the rank of the problem to be notified and the number of notifications, and stored in the flash memory 17.

  Step S14 is a notification process. This is a process for performing the notification determined in step S13.

  Step S15 is notification frequency count processing. The notification count 37 is incremented.

  Step S16 is the end of this process.

  Here, the problem to be notified in step S12 is determined, but notification is performed in order from the one with the highest rank and the number of notifications is small, it is randomly selected for each rank, the information is notified in order for each rank, These can also be selected.

  Here, in the notification process of step 14, in the case of notification by an alarm, a sound is emitted from a speaker, and the motor is rotated to vibrate the user. Then, the problem is displayed on the display screen. In the voice notification, the problem or answer is read out by voice and the problem is displayed on the display screen. In the notification by e-mail, the user transmits an e-mail with a problem sentence. The notification by vibration causes the motor to vibrate and display the problem on the display screen. Furthermore, these notifications communicate with the mobile phone 39 by the wireless circuit 21 to communicate information to the mobile phone. An alarm is issued on the mobile phone, and the question sentence and answer are displayed on the mobile phone screen. Or, by sending an e-mail to a mobile phone and opening the e-mail, it is possible to know the problem sentence and answer.

  FIG. 10 is a flowchart for explaining the operation when the answer result is transmitted to another device.

  Step S17 is the start of processing.

  Step S18 is a problem display process. The ROM 16 stores problem data of the configuration having the problem number 25 and the problem 26 of the configuration shown in FIG. One of the problems is displayed on the LCD 18. At that time, the time data of the counted clock is temporarily stored in the RAM 15.

  Step S19 is an answer input process. In this case, an answer to the displayed problem is input using the keyboard 14. The input answer is temporarily stored in the RAM 15.

  Step S20 is a process of counting the number of questions. Increment the number of questions for a given question. The answer result data shown in FIG. 4 is stored in the flash memory 17. The number of questions is incremented with respect to the data corresponding to the question number of the question that has been asked.

  Step S21 is an answer determination process. The answer corresponding to the question entered from among the problems stored in the ROM 16 is compared with the input answer stored once in the RAM 15, and if they match, the answer is correct and if it does not match, the answer is determined to be incorrect. If the answer is correct, the process proceeds to step S22. If the answer is incorrect, the process proceeds to step S25.

  Step S22 performs correct answer count processing. This increments the number of correct answers 30 corresponding to the given question.

  Next, step S23 is a step of temporarily storing the result. This stores the number of questions, the time data at the time of questions, and the answer results of the questions that have been given, together with the problem number, question, and answer. Next, the process proceeds to step S24.

  Here, step S25, which is another branch destination process of step S21, is a process that proceeds when the answer is incorrect in the process of step S21. Step S25 is a process for temporarily storing the result. This stores the number of questions, the time data at the time of questions, and the answer results of the questions that have been given, together with the problem number, question, and answer. Next, the process proceeds to step S24.

  Step 24 is a process of performing wireless communication and transmitting the result. The wireless circuit 21 is used to perform wireless communication with a mobile phone 39 that is an external device. Here, the number of questions temporarily stored in the RAM 15, the time data at the time of the questions, the answer result of the question that has been given, the question number, the question and the answer are transmitted to the mobile phone.

  Step S26 is the end of this process.

  FIG. 11 is a flowchart for explaining the operation when the mobile phone receives the answer result.

  Step S27 is the start of processing.

  In step S28, the mobile phone 39 and the learning device 38 communicate with each other by wireless communication. The mobile phone 38 receives the number of questions from the learning device 38, the time data at the time of the questions, the answer result of the question, the question number, the question and the answer. Receive.

  Step S29 is a data storage process. The received data is stored in the memory of the mobile phone so as to have the configuration shown in FIG.

  Step S30 is rank determination processing. The rank is determined based on a predetermined condition with reference to the data of the past 10 received data stored in the mobile phone 39. Here, if the correct answer is 8 times or more, rank 1 is rank 2, if it is 5 to 7 times, rank 2; if it is 2 to 4 times, rank 3; if it is 0 to 1 time, rank 4 is assumed. The rank determined here is stored in the mobile phone 39.

  The next step S31 is the end of this process.

  FIG. 12 is a flowchart for explaining the operation when the learning machine 38 saves the answer result in the history storage device 45 via the mobile phone 39.

  Step 32 is the start of processing.

  Step 33 is a process in which the learning device 38 transmits an answer result or the like to the mobile phone 39 using the wireless circuit 21 and the mobile phone 39 receives the data.

  Step 34 is processing for performing cellular phone communication, connecting to the Internet, and transmitting the result to the server. The cellular phone 39 is connected to the server 44 via the cellular phone base station 42 and the network 43 to perform data communication. The server 44 is connected to the history storage device 45. Data such as an answer result from the learning machine 38 is transmitted to the history storage device 45. The transmitted data is stored so as to have a data structure as shown in FIG.

  Step 35 is the end of this process.

  FIG. 13 is a flowchart for explaining the operation notified by the mobile phone. This processing is performed at a predetermined timing such as every predetermined time, at a predetermined time, for example, at a predetermined time, such as twice at a random time in one hour, or the like. Notification. Timing is created based on the clock of the mobile phone 39.

  Step S36 is the start of processing.

  Step S37 is a process for determining a problem to be notified. Here, a problem to be notified at random is determined from the problems that have been asked in the past.

  Step S38 is a process of determining a notification method based on the rank and the number of notifications. This is determined by searching for the applicable notification method shown in FIG. 7 based on the rank of the problem to be notified and the number of notifications, and is stored in the memory in the mobile phone.

  Step S39 is a notification process. This is a process for performing the notification determined in step S38.

  Step S40 is notification frequency count processing. Increment the number of notifications and store again.

  Step S41 is the end of this process.

  Here, the problem to be notified in step S37 is determined, but notification is performed in order from the one with the highest rank and the least number of notifications, selection at random for each rank, notification in order for each rank, These can also be selected.

  Here, in the notification process in step 39, in the case of notification by an alarm, a sound is emitted from the speaker, and the motor is rotated to vibrate the user. Then, the problem is displayed on the display screen. In the voice notification, the problem or answer is read out by voice and the problem is displayed on the display screen. In the notification by e-mail, the user transmits an e-mail with a problem sentence. The notification by vibration causes the motor to vibrate and display the problem on the display screen. Further, these notifications are performed by communicating with the learning machine 38 through the wireless circuit 21 and communicating information to the learning machine 38 so that an alarm sounds on the learning machine and the question sentence and the answer are displayed on the screen. You can also. Or if you send an e-mail to your mobile phone, you can know the question and answer by e-mail.

  When the mobile phone receives the mail, the incoming alarm can be changed according to the received content. For example, a low-rank alarm can be controlled by vibration, and a high-rank alarm can be controlled by sound and vibration. It is possible to change the alarm by changing the mail title, header, sender, etc. depending on the type. Since it is possible to determine whether the content of the mail is high or low by receiving an incoming call, the awareness of the problem is increased and the learning effect is improved.

  FIG. 14 is a flowchart for explaining an operation in which the server instructs notification. This processing is performed at a predetermined timing such as every predetermined time, at a predetermined time, for example, at a predetermined time, such as twice at a random time in one hour, or the like. Notification. Timing is created based on the clock of the server 44.

  Step S42 is the start of processing.

  Step S43 is a process for determining a problem to be notified. Here, a problem to be notified at random is determined from the problems that have been asked in the past. The problem is determined, but notifications are made in descending order of the number of notifications with the highest rank, selected randomly for each rank, notified in order for each rank, and these are selected. Also good.

  Step S44 is a process of determining a notification method based on the rank and the number of notifications. This determines the notification method by searching the applicable notification method shown in FIG. 7 from the problem rank and the number of notifications stored in the history storage device 45.

  Step S45 is a process of supporting the notification to the mobile phone 39 by connecting to the Internet. The server 44 communicates with the mobile phone device 39 and gives a notification instruction to the mobile phone 39. In this case, notification by e-mail is performed by transmitting e-mail to the mobile phone 39. In the case of notification using a function of another mobile phone 39, a command is transmitted to the mobile phone 39 to be controlled. Here, although it is a notification process, in the case of a notification by an alarm, a sound is emitted from a speaker, or a motor is rotated to vibrate the user. Then, the problem is displayed on the display screen. In the voice notification, the problem or answer is read out by voice and the problem is displayed on the display screen. The notification by vibration causes the motor to vibrate and display the problem on the display screen. Further, these notifications are made by the mobile phone 39 and the learning device 38 performing short-distance wireless communication to communicate information to the learning device 38 so that an alarm sounds on the learning device, and a question sentence and an answer are displayed on the screen. It can also be done.

  Step S46 is a notification count process. Increment the number of notifications and store again.

  Step S47 is the end of this process.

  This can be similarly realized via the wireless IF 40 and the PC 41 instead of the mobile phone 39.

  In the present invention, related information stored in the related information storage means 51 at the time of notification, for example, explanations about problems and answers, and columns such as coffee breaks are stored. By displaying this simultaneously with the notification, the refresh effect and impact become stronger and easier to remember. Also, information related to date and time may be stored as related information, and related information corresponding to the date and time of calling may be displayed.

  The electronic learning device, the electronic learning notification device, and the learning device system of the present invention can use sound, light, vibration, electronic mail, a plurality of display means for display, and a display means for a plurality of sounds and display contents. This can prevent the notification from being missed. For example, sound notifications are easily overlooked in noisy places, but vibration notifications are difficult to overlook. Light notification is effective in dark and noisy places. Thus, it is possible to prevent missing notifications by preparing a plurality of notification methods. Since it is possible to pronounce the content to be learned by voice or to display the content to be learned on the display, it is possible to learn with easy-to-remember expressions. Also, by using multiple notification methods corresponding to the importance of the content that you want to learn, you can determine the importance of the content that you want to learn when notified. You can decide whether to see or not. If you find yourself as less important learning content when you are busy, you can not see the learning content.

FIG. 1 is a block diagram showing a first embodiment of the present invention. FIG. 2 is a block diagram showing a second embodiment of the present invention. FIG. 3 is a configuration diagram showing a data configuration in question. FIG. 4 is a block diagram showing the data structure of the answer results. FIG. 5 is a system configuration diagram showing the fourth embodiment of the present invention. FIG. 6 is a block diagram showing a third embodiment of the present invention. FIG. 7 is a block diagram showing the configuration of the notification data of the present invention. FIG. 8 is a flowchart for explaining the ranking operation for the problem. FIG. 9 is a flowchart regarding the notification process. FIG. 10 is a flowchart for explaining the operation when the answer result is transmitted to another device. FIG. 11 is a flowchart for explaining the operation when the mobile phone receives the answer result. FIG. 12 is a flowchart for explaining the operation when the answer result is stored in the history storage device. FIG. 13 is a flowchart for explaining the operation notified by the mobile phone. FIG. 14 is a flowchart for explaining an operation in which the server instructs notification.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 Input means 2 Problem storage means 3 Answer storage means 4 Answer determination means 6 Wireless communication means 7 Display means 8 Notification means 9 RAM
10 ROM
11 Answer result storage means 12 Clock means 13 Control means 43 Network

Claims (7)

Problem storage means for storing a problem; answer storage means for storing an answer corresponding to the problem; problem selection means for selecting a question from the problem storage means; and displaying the problem selected by the problem selection means A display means, an answer input means for inputting an answer to the question displayed on the display means, an answer input from the answer input means and an answer stored in the answer storage means and answering the result In a learning machine having answer determination means for outputting as a result and answer result storage means for storing the answer result,
A wireless communication means for performing wireless communication with an external device;
Two systems of notification means: external notification means for reporting to the external device via the wireless communication means, and internal notification means for reporting in the learning machine;
Rank means for counting the answer results for each question and calculating the rank based on the correct answer rate for the number of questions;
Rank storage means for storing the rank;
Clock means for measuring time and outputting time data;
Have
The question, the answer corresponding to the question, the answer result, and the rank are stored in association with each other,
A learning machine characterized in that when the problem is given, the notifying means based on the rank notifies that the problem has been given. The problem, the answer corresponding to the problem, the answer result, and related information storage means in which related information related to the problem is stored in association with the rank,
The learning device according to claim 1, wherein when performing notification based on the rank, notification is performed by adding related information related to the notified problem. The external notification means has an electronic mail means,
The learning device according to claim 2, wherein when the notification selects the external notification means, the related information is transmitted to a predetermined external device in addition to the content of the e-mail. Related information storage means for storing time zone information corresponding to the problem,
The learning device according to claim 1, wherein the question selecting unit selects the question based on the time data, the rank, and the time zone information.   The notification for a problem having a predetermined rank with a high accuracy rate uses an internal notification means, and the notification for a problem with a predetermined rank with a low accuracy rate uses an external notification means. Learning machine.   The learning machine according to claim 1, wherein the rank of the problem is changed based on the number of notifications for the same problem. The learning machine according to any one of claims 1 to 6,
The external notification means has external device instruction means,
The learning device system, wherein the external device is a mobile phone, and the mobile phone downloads a program and executes the program to execute an instruction from the external device instruction means.

Images