JP5982595B1 - E-learning system with learning time calculation function - Google Patents

Abstract

Provided is an e-learning system that can accurately learn a skillful portion and a weakness portion in a learning target of each user and use them in learning management. For each learning item, the time during which the content of the learning item is displayed on the display is measured, and when some information is input by the user for each learning item, other information is input thereafter. And when the input interval is longer or shorter than the standard input interval range, the input interval or the time determined based on the input interval is not included in the learning time. It is an e-learning system with a learning time calculation function that displays information indicating the calculated learning time or the user's proficiency level or weakness of the learning item for each learning item. [Selection] Figure 1

Description

  The present invention relates to an e-learning system.

  2. Description of the Related Art Conventionally, e-learning has been widely used in which a user learns while displaying or viewing learning content including text, still images, and moving images provided from a server on the Internet on a personal computer or smartphone at hand. In such e-learning, for example, a user first views an explanation made up of text, still images, and videos included in learning content, and then answers a question sentence made up of text and images displayed on the screen. The system automatically grades the answers, and when the score exceeds the passing score, it proceeds to the next chapter / section (learning item).

JP 2008-268523 A

  In a conventional e-learning system, for example, a user (learner) who learns a subject himself / herself thinks about a question sentence (question) for each chapter / section (learning item) constituting the subject system. By looking at the list of scores that are the result of automatic scoring of the answers entered in this way, you can know your own strengths (skilled parts) and weak points (unskilled parts) in the subject. did it.

  However, the manner in which the user answers the question sentence (question) is, for example, finding an answer immediately by himself / herself within a short period of time, or taking some time to come up with an idea by himself / herself. Because it is various, such as finding the answer described in the reference book and entering the answer as it is, just looking at the score or the list as described above, the user's learning target (for example, English, mathematics, etc.) There is a problem that it is not possible to accurately know the proficient part and the weak part (the part that should be reinforced in the future).

  The present invention has been made paying attention to such problems of the prior art, and each user's learning target part (the learning item that is understood and mastered) and weak point part (understanding and mastery are It is an object of the present invention to provide an e-learning system that can accurately know learning items that are insufficient and to be reinforced in the future, and that can be used as a reference for their own learning management.

  An e-learning system with a learning time calculation function according to the present invention for solving the above-described problems is learned while a user displays the contents of one or more learning items constituting a learning object on a display screen. an e-learning system, wherein when a content of a certain learning item is displayed on the display, for each learning item, a display time measuring means for measuring a time during which the content of the learning item is displayed on the display; When the content of a certain learning item is displayed on the display, for each learning item, an input interval between a point in time when certain information is input by the user and a point in time when other information is input thereafter is set. A predetermined inquiry message when the input interval detection means to detect and the input interval detected by the input interval detection means is longer than the standard input interval range; Based on the first message output means for outputting to the user, the input interval detected in each learning item, and the presence / absence and content of the response from the user to the inquiry message, the “user's proficiency level for each learning item” The learning time calculating means for calculating the “substantial learning time that can be an evaluation element” and the user, for each learning item, calculated based on the substantial learning time calculated by the learning time calculating means or the learning time. Display control means for displaying on the display information indicating the level of proficiency of the user regarding the learning item, whether the learning item is a weak point for the user, or how weak the learning item is. It is provided.

  In the e-learning system with a learning time calculation function according to the present invention, the standard input interval range used when the learning time calculation means calculates the learning time is such that the content of a certain learning item is displayed on the display. When displayed, it may be determined based on the situation of the user (the situation of input by the user) and the content of the learning item.

  In the e-learning system with a learning time calculation function according to the present invention, when the input interval detected by the input interval detector is longer than the standard input interval range, a predetermined inquiry message is sent to the user. First message output means for outputting may be included.

  In the e-learning system with a learning time calculation function according to the present invention, the learning time calculation means outputs a response to the inquiry message from the user after the inquiry message is output by the first message output means, and other information. The learning time does not include the input interval or the time calculated based on the input time when the response is such that the user denies learning or the response or other information is not input within a predetermined time. The learning time of the learning item may be calculated.

  In the e-learning system with a learning time calculation function according to the present invention, the learning time calculation means may indicate that “the input interval detected by the input interval detection means is shorter than the standard input interval range”. Calculates the learning time of the learning item so that the learning time does not include the time when the “shortness” has occurred continuously more than the predetermined number of times or the time calculated based on the time when the occurrence of “shortness” continues for a predetermined number of times or more. You may do.

  Further, in the e-learning system with a learning time calculation function according to the present invention, when the input interval detected by the input interval detecting means is continuously shorter than the standard input interval range for a predetermined number of times or more. Second message output means for outputting a predetermined inquiry message to the user may be included.

  In the present invention, when the content of a certain learning item is displayed on the display, the display time measuring means measures the display time during which the content of the learning item is displayed on the display for each learning item. , The input interval detection means is a predetermined input means (keyboard, mouse, touch panel, or microphone for the user to input information such as control information such as page turning and page return or content information such as an answer to a question sentence) An input interval between a point in time when certain information is input using the input unit) and a point in time when other information is input thereafter, and the learning time calculating unit further includes the input interval. Is longer or shorter than the standard input interval range, the learning interval should not include the input interval or the time calculated based on it. The learning time of the learning item of the user is calculated, and the display control means for the learning user, for each learning item, the learning time or a proficiency level corresponding to the learning time or a weak point in learning. Is displayed on the display. Therefore, according to the present invention, each user can not only answer a question for each learning item, but also has his own “substantial learning time” (for example, simply login) for each learning item as described above. Based on the actual learning time instead of the time spent, the user (each user) mastered part of the subject of learning (understands and mastered learning items, etc.) and weak point part (understanding and mastery) Are not enough and learning items that should be reinforced in the future can be known accurately, and can be used as a reference for their own learning management.

  Further, in the present invention, when the content of a certain learning item is displayed on the display, the standard input interval range used when the learning time calculation means calculates the learning time, When it is determined (determined) based on the content of the learning item or the like, when the input interval is abnormally long or abnormally short, etc., the input interval (abnormally long or abnormally short) It is possible to calculate a more accurate learning time with high accuracy (in the form of not adding to the learning time).

  Further, in the present invention, when the input interval detected by the input interval detection unit is longer than the standard input interval range, the first message output unit displays a predetermined inquiry message on the user side. When the detected input interval is longer than the standard input interval range, the inquiry message confirms whether the user is actually learning or when the user is not learning The user can be ventilated with attention to concentrate on learning.

  In the present invention, after the inquiry message is output by the first message output means, it is denied that the content of the answer from the user is being learned, or a response to the inquiry message (message When other information) is not input from the user within a predetermined time, and the input interval that is the detected input interval that is longer than the standard input interval range is not included in the learning time The substantial learning time for each learning item can be calculated more accurately.

  In the present invention, when the input interval detected by the input interval detection means is continuously shorter than the standard input interval range for a predetermined number of times or more, the detected input interval is When the learning time of the learning item is calculated so that the learning time does not include the input interval in which the short time has continuously occurred for a predetermined number of times or the time obtained based on the input interval, When the detected input interval is continuously shorter than the standard input interval range, the detected input interval that is shorter than the reference time width is included in the learning time. Therefore, the substantial learning time for each learning item can be calculated more accurately.

  Further, in the present invention, when the occurrence of the input interval detected by the input interval detection means being shorter than the standard input interval range continuously for a predetermined number of times, the second message output means When the inquiry message is generated and displayed on the user side terminal, the input interval detected by the input interval detection means is continuously shorter than the standard input interval range for a predetermined number of times. The first message output means confirms whether or not the user is learning, and the user is not learning properly (for example, the user can operate the input means at high speed without reading the question sentence etc.) ) And can be ventilated with care to learn properly for the user.

It is a conceptual block diagram which shows the e-learning system with a learning time calculation function which concerns on Embodiment 1 of this invention. It is a figure which shows an example of the learning screen in e-learning in this Embodiment 1. FIG. It is a figure which shows an example of the learning screen in e-learning in this Embodiment 1. FIG. It is a figure which shows an example of the learning screen in e-learning in this Embodiment 1. FIG. It is a figure which shows the example of a screen which displayed the user's learning diagnostic table (scholastic ability diagnostic table) on the user terminal 1 via the internet in this Embodiment 1. FIG. It is a figure which shows the other example of a screen which displayed the said user's learning diagnostic table (scholastic ability diagnostic table) on the user terminal 1 via the internet in this Embodiment 1. FIG. It is a conceptual block diagram which shows the e-learning system with a learning time calculation function which concerns on Embodiment 3 of this invention.

[First Embodiment]
2. Description of the Related Art Conventionally, in e-learning, a score (score) for a user's answer to a question to test the level of understanding of learning is often recorded and used as a reference for learning management by each user. However, even with the same score (score), there are significant differences in the level of proficiency and weakness of the learning item of the user depending on the learning time to reach that score (especially the time required to answer the question sentence). Yes. Therefore, in order to realize effective learning management focusing on the proficiency level and weakness of each learning item of the user, not only the score (score) but also the learning time that led to such a score (score) You also need to know. By the way, as a learning time useful for such learning management, it is possible to consider the total time from login to logout of the user's e-learning system, but in the total time from login to logout, The actual learning time by the user cannot be known accurately. This is because the time from the login to the logout includes the time when the user is taking a break or doing another work.

  Therefore, the present inventor created the present invention as a system for accurately calculating a learning time useful for user learning management. Next, e- with a learning time calculation function according to the first embodiment of the present invention. The learning system will be described. FIG. 1 is a conceptual block diagram showing the first embodiment.

  In FIG. 1, 1 is a user terminal (personal computer, tablet terminal, smartphone, etc.) held by a user (learner), 2 is the Internet (one of public networks), 3 is a database connected to the Internet 2 and recording learning content E-learning servers including a database server that manages web sites and a web server that manages web sites that provide web services such as e-learning (providing learning content in response to user access) .

  In FIG. 1, 4 is a display disposed on the user terminal 1, 5 is disposed on the user terminal 1, and an input unit including a keyboard, a mouse, a touch panel, a microphone and the like for inputting information by the user, and 6 is a CPU or the like. A terminal control unit 6a is a browser unit controlled by the terminal control unit 6 (for example, a part for realizing a network browsing function by browser software).

  In FIG. 1, 11 is a control unit, 12 is a database management unit that manages a database in which learning content for e-learning service is recorded, and 13 is input operation information from the user terminal 1 sent via the network. An input operation detection unit 14 for detecting an operation of the input unit 5 by the user based on the learning, and a learning on the display 4 screen of the user terminal 1 based on information on learning work from the user terminal 1 sent via the network. A display time detector 15 for detecting the time (display time) during which the content of the item is displayed, 15 is a user operation on the input unit 5 of the user terminal 1 based on information from the input operation detector 13 The operation interval between the time when the user performed and the time when another operation was performed thereafter (the time when the user entered certain information and then other information was entered An operation interval detecting unit for detecting an input interval) between the point. The information input by the user includes not only content information such as answers to question sentences but also control information such as turning (advancing) a learning page / item or returning a page / item. .

  In FIG. 1, reference numeral 16 denotes a reference time between the time when many users perform certain operations on the input unit of the user terminal and the time when other operations are performed thereafter when learning the learning item. A reference time width recording unit for recording a width (a standard input interval range between a time point when a user inputs certain information and a time point when another information is input thereafter), and 17 is an operation interval detecting unit. 15 is a comparison unit that compares information on an actual operation interval (input interval) from 15 and a reference time width from the reference time width recording unit 16. The reference time width recorded in the reference time width recording unit 16 is, for example, a standard for each learning item calculated by using a statistical method or the like from a data group acquired in advance from many user input operations. Operation interval (an average time interval between one input operation and another input operation for an input unit by many users).

  In FIG. 1, reference numeral 18 denotes a reference time width in the learning item recorded in the reference time width recording unit 16 in which the operation interval in the learning item detected by the operation interval detection unit 15 in the display time. A message generation unit that generates a predetermined inquiry message to be displayed on the user terminal 1 based on information from the comparison unit 17 when longer than (standard operation interval range), 19 is a user for the message It is a response message detection unit that detects a response message from the terminal 1 and other responses.

  In FIG. 1, reference numeral 20 denotes the display time of the content related to the learning item from the display time detection unit 14 on the user terminal 1, and the content related to the learning item detected by the operation interval detection unit 15. The operation interval (interval between each time point when the user actually performed the input operation of information) and the information from the comparison unit 17 (the contents of the learning item from the operation interval detection unit 15 are displayed. Based on the information from the response message detector 19), and the information from the response message detector 19). The learning time calculation unit calculates the substantial learning time of the user during the time when the content related to the learning item is displayed on the user terminal 1. For example, the learning time calculation unit 20 calculates the display time of the content related to the learning item from the display time detection unit 14 as a substantial learning time of the user in learning of the learning item in principle. Such a display time is not calculated as a substantial learning time.

  That is, the operation interval during the display time of the content related to the learning item from the operation interval detection unit 15 is larger than the reference time width (standard operation interval range) in the learning item from the reference time width recording unit 16. If it is too long, there is a high possibility that a break or other work other than learning is being performed, so the learning time calculation unit 20 may be a part of the display time from the display time detection unit 14 The display time corresponding to the operation interval is not regarded as the substantial learning time (the substantial learning time is not added).

  In the first embodiment, as described above, the actual operation interval during the display of the content related to the learning item detected by the operation interval detection unit 15 is the learning time from the reference time width recording unit 16. When it is longer than the reference time width (standard operation interval range) in the item, the inquiry message generated by the message generation unit 18 is displayed on the user terminal 1, but in response to this inquiry message, If there is a response (message or other information) indicating that learning is not in progress from the user terminal 1, or if there is no response at all, it is highly likely that another task other than learning is being performed during that time, so the response message detection Based on the information from the unit 19, the display time corresponding to the operation interval is not regarded as the substantial learning time (referred to as the substantial learning time. Are in is not added, etc.) so.

  In addition, the learning time calculation unit 20 is configured such that an actual operation interval during display of the content related to the learning item detected by the operation interval detection unit 15 is a reference in the learning item from the reference time width recording unit 16. If it is shorter than the time span (standard operation interval range) (if you turn the page on the screen at an unusually fast pace or enter the answer to the problem), you are typing the answer in a guess or almost thinking Since there is a high possibility that the input operation is performed without being performed, the learning time calculation unit 20 may display the display time corresponding to the operation interval even if it is a part of the display time from the display time detection unit 14. Is not regarded as a substantial learning time (not added as a substantial learning time).

  In FIG. 1, 21 is based on the substantial learning time of the learning item of the user obtained by the learning time calculation unit 20, and the proficiency level and weakness of the learning item of the user (for learning) It is a proficiency level calculation unit that calculates the degree of effort).

  In FIG. 1, reference numeral 22 denotes a learning diagnosis table (scholastic ability diagnosis table) of the user based on information such as the learning time from the learning time calculation unit 20 and the proficiency level from the proficiency level calculation unit 21. It is a learning diagnostic information production | generation part which produces | generates information, such as. The learning diagnosis table (scholastic ability diagnosis table) of the user generated by the learning diagnosis information generation unit 22 is transmitted to the user terminal 1 via the network by the control unit 11 and displayed on the display 4 (FIGS. 5 and 6). Will be described later).

  Next, an example of the operation of the present embodiment will be described with reference to the drawings. FIG. 2 is a diagram showing an example of the screen 4a of the display 4 when the user (learner) learns about a unit (learning item) called “question sentence” in the subject of English. The learning content of the learning item displayed on the display screen 4a is transmitted from the server 3 side to the user terminal 1 via the network based on a request from the user. In this case, the control unit 11 of the server 3 transmits content and control information necessary for user learning while constantly communicating with the user terminal 1 (every predetermined time).

  In addition, the control unit 11 of the server 3 acquires information related to the display of learning content and the like on the display 4 of the user terminal 1, and the display time detection unit 14 is based on the information acquired by the control unit 11. The content display time for each learning item in 1 is acquired. Further, the control unit 11 of the server 3 acquires information related to the operation by the user of the input unit 5 of the user terminal 1, and the operation interval detection unit 15 is based on the information acquired by the control unit 11. The interval (operation interval = input interval) between each operation (each information input) of the input unit by the user for each learning item in 1 is acquired.

  Next, the comparison unit 17 of the server 3 displays the actual operation interval during display of the contents of the learning item detected by the operation interval detection unit 15 and the reference time width from the reference time width recording unit 16 (the learning item And the information indicating the comparison result is output to the message generator 18. The message generator 18 is configured such that the actual operation interval during the display of the content of the learning item from the operation interval detector 15 is longer than the reference time width (standard operation interval in the learning item) in the learning item. At this time, based on the information from the comparison unit 17 indicating that, for example, an inquiry message such as “Do you want to take a break around here?” Is generated, and the control unit 11 displays it on the display of the user terminal 1 via the network. 4 is displayed on the screen 4a (see reference numeral 25 in FIG. 3). Note that the inquiry message in this case may be “Would you like to take a break around here?” Instead of “Do you want to take a break around here?” Or “Do you want to return to the previous item?”

  As described above, in the first embodiment, the inactivity time (input operation / information) exceeding the reference time width (standard operation interval range) while the content of a certain learning item on the user terminal 1 is displayed. When there is a time when there is no input), a mechanism for displaying a predetermined inquiry message on the user terminal 1 and confirming whether or not the inactivity time is a substantial learning time is provided. In such a case, the system displays the inquiry message as described above (see reference numeral 25 in FIG. 3) on the display 4 and detects the presence or absence of the response from the user or the content thereof, so that the user actually It is possible to confirm whether learning is being performed (whether the inactivity time can be used as a substantial learning time). Note that the “Yes” and “No” button icons in the frame indicated by reference numeral 25 in FIG. 3 indicate an example of a mechanism for the user to transmit the response as described above to the server 3 side via the network. It is.

  On the other hand, when the actual operation interval during display of the content of the learning item detected by the operation interval detection unit 15 is shorter than the reference time width (standard operation interval range) in the learning item, the message generation unit 18 That is, while the content of a certain learning item is displayed on the user terminal 1, the user turns the pages on the screen at an abnormally fast pace below the standard input interval range (reference time width). When a question answer is input, it is highly likely that the user has not learned substantially, such as answering without thinking or inputting an answer without thinking at all. Therefore, even when such an activity time (operation interval which is a time between actual user input operations) is abnormally short, the time cannot be regarded as a substantial learning time. Therefore, in the first embodiment, the learning time calculation unit 20 does not regard the time corresponding to the operation interval in such a case as the substantial learning time (the actual learning time is not added). I have to.

  Further, in the first embodiment, when the activity time as described above (the operation interval that is the time between the user's actual input operations) is abnormally short, the message generation unit 18 is “faster than usual”. A message such as “Advancing at a pace” is generated, and the control unit 11 displays the message on the screen via the net (see reference numeral 26 in FIG. 4) to alert the user.

  Next, FIG. 5 is a screen example when the user's learning diagnosis table (scholastic ability diagnosis table) generated by the learning diagnosis information generation unit 22 is displayed on the user terminal 1 via the network in the first embodiment. FIG. In the screen example shown in FIG. 5, for example, for each learning item / unit (see the column indicated by reference numeral 27 in FIG. 5) of the English subject, the score of the answer to the question sentence of the user (reference numeral 28 in FIG. 5). The learning time (in this example, the time required for the user to answer the question sentence arranged for each learning item. Refer to the column indicated by reference numeral 29 in FIG. 5) corresponds to the learning time. It is displayed. Therefore, the user looks at the score and learning time for each learning item shown on the screen of FIG. 5 to determine which learning item has a high level of proficiency, and conversely, which learning item has a weak point for him / her. It can be used as a reference for own learning management.

  Next, FIG. 6 shows another example when the learning diagnosis table (scholastic ability diagnosis table) of the user generated by the learning diagnosis information generation unit 22 is displayed on the user terminal 1 via the network in the first embodiment. It is a figure which shows the example of a screen. In the screen example shown in FIG. 6, for example, for each learning item / unit of the English subject (see the column indicated by reference numeral 27 in FIG. 6), the score of the answer to the question sentence of the user (reference numeral 28 in FIG. 6). And the learning time (in this example, the time required for answering the question sentence for each learning item. See the column indicated by reference numeral 29 in FIG. 6) and the user's proficiency ( Information indicating which items are mastered and which items should be emphasized in order to master at weak points (see the column indicated by reference numeral 30 in FIG. 6) is displayed in association with each other.

  For example, in the academic ability diagnosis table of FIG. 6, when evaluating each of the “question sentence” and “negative sentence” (see reference numeral 27), the scores are “75 points” and “76 points” (see reference numeral 28), respectively. Although it is almost the same, the actual learning time is very different from “6 minutes 10 seconds” and “12 minutes 30 seconds” (see reference numeral 29). The proficiency level is evaluated as “A” (see symbol 30a) for “question” but “B” (see symbol 30b) for “negative”. In addition, in the academic achievement diagnosis table of FIG. 6, when looking at each evaluation of “Negative sentence” and “Assumption method” (see reference numeral 27), the scores are “76 points” and “61 points” (see reference numeral 28), respectively. “Negative sentence” has a higher score, but “12 minutes 30 seconds” and “6 minutes 20 seconds” (see reference numeral 29) and “assumed method” are shorter in learning time. The user's proficiency level in each of the learning items of "" and "Assumption Method" is commonly evaluated as "B" (see symbols 30b and 30c). Further, in the academic ability diagnosis table of FIG. 6, when looking at each evaluation of “Assumption Method” and “Tenshi” (see reference numeral 27), the scores are “61 points”, “51 points” (see reference numeral 28) and “ “Assumption method” has a higher score, but conversely, “6 minutes 20 seconds” and “3 minutes 40 seconds” (see reference numeral 29) and “tense” are shorter in learning time. The user's proficiency level in each of the tense learning items is commonly evaluated as “B” (see symbols 30c and 30d).

  In this way, the user is good at what learning item for himself / herself by viewing the score 28, learning time 29, and proficiency 30 for each learning item 27 shown in the screen of FIG. (Skilled) or, on the contrary, which learning item is a weak point (whether it is a part to be emphasized for proficiency), etc., can be used as a reference for own learning management.

  As described above, in the first embodiment, when the content of a certain learning item is displayed on the display 4, the display time detection unit 14 determines that the content of the learning item is the user terminal for each learning item. The time displayed on the display 4 of 1 is measured / detected via the network, and the operation interval detection unit 15 performs other operations when the user operates the input unit 5 of the user terminal 1. Detects the operation interval from the point in time via the network. And when the said operation interval is longer or shorter than a standard operation interval range, the said learning time calculation part 20 does not include the said operation interval or the time calculated | required based on it on the said user's said The substantial learning time of the learning item is calculated. Further, the learning diagnosis information generation unit 22 has, for each learning item, a learning diagnosis table (scholastic ability diagnosis table. Ability diagnosis table corresponding to the learning time for the user and the score of the answer to the question sentence. Information useful for learning management including the weak points of the learning), and the control unit 11 displays the learning diagnosis table (scholastic ability diagnosis table) on the display 4 of the user terminal 1 via the network. . Therefore, according to the first embodiment, each user not only scores the answer to the question (question sentence) for each learning item, but also the “substantial learning” for each learning item as described above. “Time” (refer to FIG. 5, for example, the time during which learning was performed except for the time when the user was simply logged in) and “scholastic ability diagnosis table” (see FIG. 6), etc. You will be able to know exactly what you have learned and weak points (parts that you are not familiar with and should be reinforced in the future).

  In the first embodiment, when the operation interval detected by the operation interval detection unit 15 is longer than the reference time width (standard operation interval range) based on the information from the comparison unit 17. Since the inquiry message generated by the message generation unit 18 is displayed on the display 4 of the user terminal 1 via the network, the inquiry message is displayed when the detected operation interval is longer than the reference time width. Thus, it is possible to confirm whether the user is actually learning or to ventilate the user carefully so as to concentrate on the learning.

  In the first embodiment, after the inquiry message generated by the message generation unit 18 is output, when the content of the response from the user denies continuation of learning, or from the user When the response information to the message is not input within a predetermined time, the learning time calculation unit 20 calculates the learning time of the learning item so that the learning interval does not include the operation interval or the time determined based on the operation interval. Like to do. Therefore, according to the first embodiment, when the detected operation interval is longer than the reference time width, the operation interval that is the detected operation interval and longer than the reference time width is learned. Since it is not included in the time, the substantial learning time of the learning item can be calculated more accurately.

  Further, in the first embodiment, when the operation interval detected by the operation interval detection unit 15 continuously occurs for a predetermined number of times or less than the reference time width, the learning time calculation unit 20 The learning time of the learning item is calculated so that the learning time does not include the time during which the short operation has occurred for a predetermined number of times or the time obtained based on the short time. I have to. Therefore, according to the first embodiment, when the detected operation interval continues to be shorter than the reference time width, the detected operation interval is greater than the reference time width. Since the short operation interval is not included in the learning time, the substantial learning time of the learning item can be calculated more accurately.

  Further, in the first embodiment, when the operation interval detected by the operation interval detection unit 15 is continuously shorter than the reference time width for a predetermined number of times, the message generation unit 18 And the control unit 11 displays the inquiry message on the display 4 of the user terminal 1 via the network. Therefore, according to the first embodiment, when the operation interval detected by the operation interval detection unit 15 continues to be shorter than the reference time width for a predetermined number of times, the message generation unit 18 and the control unit 11 confirms whether the user is learning, or the user is not learning properly (for example, they are operating the input means at high speed without reading the question text) Sometimes it is possible to ventilate with caution so that users can learn properly.

[Second Embodiment]
Next, a second embodiment of the present invention will be described. Since the basic configuration of the second embodiment is the same as that of the first embodiment, only different portions will be described below, and description of overlapping portions will be omitted.

  In the first embodiment, the reference time width recorded in the reference time width recording unit 16 is obtained by previously obtaining input operations of a large number of users as data and processing the data based on a statistical method or the like. The standard operation interval for each learning item obtained (interval between a certain input operation by the user and the other input operation thereafter), for example, uniformly for each learning item for all users. 2 minutes, 3 minutes, etc. On the other hand, in the second embodiment, the reference time width recorded and set in the reference time width recording unit 16 is calculated and recorded / set in the following procedure.

  That is, in the second embodiment, from the viewpoint that the reference time width should be different depending on the situation of each user (learner) and the contents of each learning item, the situation of each user and each learning item The system can now automatically calculate and set the content (learning content). For example, the time during which a specific user does not use the input unit (keyboard, mouse, etc.) for a certain learning item is recorded for a certain time, and the average time and standard deviation are calculated. If the “average time + 2 * standard deviation time” elapses without the user operating the input unit, the time (operation interval) is not regarded as a substantial learning time. In this way, the substantial learning time can be grasped with a probability of approximately 95%.

  As described above, in the second embodiment, the reference time width used when the learning time calculation unit 20 calculates the substantial learning time is set as the user's situation and the content of the learning item during the learning by the user. Therefore, even if the operation interval is abnormally long or abnormally short, etc., even if the operation interval is abnormally short (such as not adding an abnormally long or abnormally short operation interval to the substantial learning time) It will be possible to calculate more accurate learning time.

[Third Embodiment]
Next, a third embodiment of the present invention will be described. FIG. 7 is a conceptual block diagram illustrating an e-learning system with a learning time calculation function according to the third embodiment. In FIG. 7, 31 is a terminal (personal computer, tablet terminal, smart phone, etc.) held by a user (learner), 32 is the Internet (one of public networks), 33 is a database that is connected to the Internet 2 and records learning content, etc. A server for e-learning comprising a database server for managing web sites and a web server for managing web sites that provide web services such as e-learning (providing learning content in response to user access) .

  In FIG. 7, 34 is a display, 35 is an input unit composed of a keyboard, mouse, touch panel, microphone, etc., 36 is a control unit composed of a CPU and the like, 42 is a part of learning content transmitted from the server 33 and A content recording unit (recording unit composed of a hard disk or a semiconductor memory built in the terminal) for recording user input information, 44 is a learning content on the display 34 based on information from the control unit 36 A display time detection unit 43 for detecting the time during which information of a certain learning item is displayed for each learning item, 43 is an input operation performed by the user on the input unit based on the information from the input unit 35 The input operation detection unit 45 detects the input, and 45 is the input by the user based on the information from the input operation detection unit 43 An operation interval detecting unit for detecting an interval (time) between a certain input operation (certain information input) and subsequent other input operation (other information input) for 35.

  In FIG. 7, reference numeral 46 denotes a standard operation interval range obtained by previously acquiring input operations of a large number of users as data and processing those data groups by a statistical method or the like. A standard time interval range between the input operation and another input operation) is recorded as a reference time width, and 47 is an operation interval (actual operation interval) from the operation interval detector 45. And a reference time width (standard operation interval range) from the reference time width recording unit 46.

  In FIG. 7, reference numeral 49 denotes the learning in which the operation interval during display of the contents of the learning item detected by the operation interval detection unit 45 in the display time is recorded in the reference time width recording unit 46. A message for generating a predetermined inquiry message displayed on the user terminal 1 based on information from the comparison unit 47 when it is longer than a reference time width (standard operation interval range) during display of the contents of the item A generation unit 48 is a response message detection unit that detects the presence / absence and contents of a response from the user to the message.

  In FIG. 7, reference numeral 50 denotes a display time for each learning item from the display time detection unit 44, an operation interval (actual operation interval) existing for each learning item from the operation interval detection unit 45, and the comparison. Based on the comparison result from the unit 47 and the information from the response message detection unit 48, the learning time calculation unit calculates the substantial learning time of the user for each learning item. 51 is a proficiency level and weak point for each learning item of the user based on the substantial learning time for each learning item obtained by the learning time calculating unit 50 (an effort is required for learning). Alternatively, it is a proficiency level calculation unit for calculating the degree. 52 is a learning diagnosis that generates a learning diagnosis table (scholastic ability diagnosis table) for the user based on information such as the learning time from the learning time calculation unit 50 and the proficiency level from the proficiency level calculation unit 51. An information generation unit. The learning diagnosis table (scholastic ability diagnosis table) of the user generated by the learning diagnosis information generation unit 52 is displayed on the display 4 by the control unit 36 (see FIGS. 5 and 6 regarding the first embodiment).

  As described above, in the first embodiment, the function according to the characteristic part of the invention is shown as each functional block realized by the server 3 connected to the Internet. The functions related to the characteristic parts are shown as functional blocks realized by the user-side terminal 1. That is, the first embodiment and the third embodiment are different only in that the function according to the characteristic part of the present invention is realized on the server 3 side or the user terminal 31 side. Therefore, the third embodiment can achieve substantially the same effect as the first embodiment.

  As mentioned above, although each embodiment of the present invention was described, the present invention is not limited to what was described as each above-mentioned embodiment, and it cannot be overemphasized that various correction and change are possible.

1 User terminal 2 Internet 3, 33 Server 4, 34 Display 4 a Screen 5, 35 Input unit 6, 11, 36 Control unit 11 Control unit 13, 43 Input operation detection unit 14, 44 Display time detection unit 15, 45 Operation interval detection Units 16, 46 Reference time width recording unit 17, 47 Comparison unit 18, 49 Message generation unit 19, 48 Response message detection unit 20, 50 Learning time calculation unit 21, 51 Learning degree calculation unit 22, 52 Learning diagnostic information generation unit

Claims (4)

An e-learning system in which a user learns while displaying the contents of one or more learning items constituting a learning target on a display screen,
When the content of a certain learning item is displayed on the display, for each learning item, display time measuring means for measuring the time during which the content of the learning item is displayed on the display;
When the content of a certain learning item is displayed on the display, for each learning item, the input interval between the time when the user inputs certain information and the time when other information is input thereafter is detected. Input interval detection means for
First message output means for outputting a predetermined inquiry message to the user when the input interval detected by the input interval detection means is longer than a standard input interval range;
Based on the input interval detected in each learning item and the presence / absence and content of a response from the user to the inquiry message, “substantial learning time that can be an evaluation element of the user's proficiency for each learning item” is calculated. Learning time calculation means;
For each learning item, for each learning item, the substantial learning time calculated by the learning time calculating means or the “skill level of the user for the learning item, the learning item is Display control means for displaying on the display information indicating whether or not it is a weak point or how weak it is,
E-learning system with learning time calculation function. The learning time calculation means, after the inquiry message is output by the first message output means, the content of the response to the inquiry message from the user denies that the user is learning or the response is when not entered within a predetermined time, so as to be substantially free of learning time a time obtained based on the long input interval or over standard input interval range of the substantial learning time of the learning item The e-learning system with a learning time calculation function according to claim 1, wherein the learning time calculation function is calculated. The learning time calculation means determines that the “shortness” is when the “input interval detected by the input interval detection means is shorter than the standard input interval range” continues for a predetermined number of times or more. The substantial learning time of the learning item is calculated according to claim 1 or 2, wherein the substantial learning time of the learning item is calculated so as not to include in the substantial learning time the time that has been continuously generated for a predetermined number of times or the time determined based on the time. E-learning system with learning time calculation function. Second message output means for outputting a predetermined inquiry message to the user when the input interval detected by the input interval detection means is continuously generated a predetermined number of times or shorter than the standard input interval range. The e-learning system with a learning time calculation function according to any one of claims 1 to 3.

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