JP2006133615A - System which detects heterogeneous training process and provides its circumstances visually on the basis of student's training time required in e-learning - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To support early detection of learners to be individually guided by allowing a server of an e-Learning having a database storing various numerous learning contents and a required time database storing required times of the learners by the e-learning to detect the learners learning in a heterogeneous process and providing its heterogeneous information to computers of an educator and a leader in a graph. <P>SOLUTION: An e-learning system is composed of client computers connected through a network, the various numerous learning contents, and the server having the required time database storing the learning required times of the learners. The server detects the heterogeneous learning process to visually provide the circumstances. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to an e-Learning system having a function of detecting a learner's heterogeneous learning process and having a function of performing learning from a remote place.

  In a conventional e-Learning system, educators and instructors are able to discover learners who have gone through a different learning process among a large number of learners by using artificial data for the data stored in the database. I had to check each person and spent a lot of time.

  The present invention is a learning in which an e-Learning server having a database that accumulates various learning contents and a duration database that accumulates the duration of a learner by e-Learning is learning in a heterogeneous process. By providing a graph to the computer of the educator / instructor and detecting information on the person who has detected the person, the learner who should be instructed individually can be supported early.

  The gist of the present invention will be described with reference to the accompanying drawings.

  In an e-Learning system that consists of a client computer connected via a network, a server with a time database that accumulates various learning contents, and the time required for learning by the learner, this server is the learner. Detecting heterogeneous learning processes based on the learning time required by learners in e-Learning, which is equipped with detection means for detecting different learning processes and visual display means However, the present invention relates to a system that visually provides the situation.

  Further, the detection means uses a statistical method given the e-Learning learning content stored in the database by the server and the learning time required by the learner, and uses a predetermined rejection area (range for rejecting hypotheses). ) Based on whether or not it is a heterogeneous learning process, and the display means is a display means for indicating a detection result or a determination result by the detection means. The present invention relates to a system that detects a heterogeneous learning process based on a learner's required learning time in e-Learning according to claim 1 and visually provides the situation.

  Further, the detection means executes an abnormality detection program for executing an abnormality detection calculation formula, extracts a learner's learning time for one learning content from the required time database, and uses the abnormality detection calculation formula. As a structure that calculates evaluation values and sequentially calculates evaluation values for each learning content, the server is statistically given the e-Learning learning content stored in the database and the learning time required by the learner. Using the method, the evaluation value can be determined so that it is possible to judge whether the learning process is heterogeneous based on whether the value exceeds a preset rejection range (the range in which the hypothesis is rejected). The heterogeneous learning process is detected based on the learning time required by the learner in the e-Learning according to any one of claims 1 and 2, and the situation is determined. Those of the system that provides the Satoshiteki.

  Further, the display means displays each evaluation value obtained by the detection means and a curve indicating the rejection area in a superimposed manner, and visually confirms whether or not the abnormal learning process is based on whether the evaluation value exceeds the rejection area. 4. The system according to claim 3, wherein the display system is configured to detect a heterogeneous learning process based on a learner's time required for learning in e-Learning according to claim 3. Is.

  Since the present invention is configured as described above, an educator / instructor can discover a specific learning process. For example, a certain learner “abnormally spends time” or “abnormally short It is possible to obtain information such as “learning in time”. In other words, this information supports a heterogeneous learning activity that cannot be a normal learning process, and enables quick response and advice to the learner.

  Embodiments of the present invention that are considered suitable (how to carry out the invention) will be briefly described with reference to the drawings, illustrating the operation of the present invention.

  There are database servers that have a large number of different learning contents for learners to learn remotely. The server also maintains a database that stores information on how much time each distance learner spends on which learning content.

  The learner accesses and learns the learning content of this server. On the other hand, the server measures the time required for each learner and stores this time in the required time database.

  The server searches for a heterogeneous learning process from the accumulated duration database and calculates the heterogeneous value. This result is expressed as a graph that can be easily identified (a curve depicting a rejection zone and a solid line of the learning process are represented by the same graph). As a result, the educator / instructor can instantly check whether the target learner is learning through a specific process.

  Specific embodiments of the present invention will be described with reference to the drawings.

  There are database servers that have a large number of different learning contents for learners to learn remotely. The server also maintains a database that stores information on how much time each distance learner spends on which learning content.

  The learner accesses and learns the learning content of this server. On the other hand, the server measures the time required for each learner and stores this time in the required time database.

  The educator / instructor executes an abnormality detection program in the e-Learning system in order to detect the learning abnormality of the target learner. In response to this request, the server first extracts the learning time of the target person for the first learning content from the accumulated required time database, and calculates the evaluation value according to the following abnormal value detection algorithm. The calculated value is temporarily stored in the server. Subsequently, the learning time of the target person with respect to the second learning content is taken out, and the evaluation value is calculated according to the following abnormal value detection algorithm as with the first learning content. In this way, the learning content is calculated up to the last learning content. Finally, the learning content is plotted on the horizontal axis, and the temporarily stored evaluation value is plotted on the vertical axis. (Overlapping curves with areas).

  As a result, the educator / instructor can instantly check whether the target learner is learning through a specific process.

  This server holds a parameter that can relax / intensify the detection of the learner's specificity, and has a function of changing the degree of narrowing down.

  Note that the present invention is not limited to this embodiment, and the specific configuration of each component can be designed as appropriate.

It is configuration work explanatory drawing of a present Example.

Claims (4)

  In an e-Learning system that consists of a client computer connected via a network, a server with a time database that accumulates various learning contents, and the time required for learning by the learner, this server is the learner. Detecting heterogeneous learning processes based on the learning time required by learners in e-Learning, which is equipped with detection means for detecting different learning processes and visual display means System that provides the situation visually.   The detection means uses a statistical method given the e-Learning learning contents stored in the database by the server and the learning time required by the learner, and sets a pre-set rejection area (a range for rejecting hypotheses). The detection means for determining whether or not the learning process is heterogeneous based on whether or not the value exceeds the detection value, and the display means is a display means for indicating a detection result or a determination result by the detection means. The system which detects the heterogeneous learning process based on the learning required time of the learner in the e-Learning described in Item 1, and visually provides the situation.   The detection means executes an abnormality detection program for executing an abnormality detection calculation formula, extracts a learning time of a learner for the one learning content from the required time database, and evaluates the evaluation value by the abnormality detection calculation formula. As a configuration for calculating the evaluation value for each learning content in succession, a statistical method is applied given the e-Learning learning content stored in the database by the server and the learning time required by the learner. Use of the evaluation value for judging whether or not the learning process is a heterogeneous learning process based on whether or not the value exceeds a preset rejection area (a range in which the hypothesis is rejected). Based on the learner's time required for learning in e-Learning as described in any one of items 1 and 2, a heterogeneous learning process is detected and the situation is visually System to provide. The display means displays each evaluation value obtained by the detection means and a curve indicating the rejection area in a superimposed manner so that whether the evaluation value exceeds the rejection area can be visually recognized as an abnormal learning process. The system which detects the heterogeneous learning process based on the learning required time in the e-Learning of the e-Learning of Claim 3, and provides the condition visually.

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