KR20210042236A - Online personalized learning system - Google Patents

Abstract

The present invention relates to an online education system using the Internet and a computer and a method thereof. It relates to an Internet online education system and a method thereof capable of personalized learning comprising a server for personalized learning that conducts tests on learners, analyzes the test results, and recommends supplementary learning materials suitable for the learners. In addition, the online education system and the method thereof of the present invention may include a 'personal note' function that allows the learner to edit, store, and read online course content and various learning materials. In case of using this system, learners can receive supplementary lessons for areas where they are weak according to the current level of understanding of the lecture, and after re-evaluation after supplementary lessons, intensive and continuous supplementary lessons are also possible in the form of recommendations for other types of supplementary lessons, and through the personal note function, you can expect the same effect of improving concentration and memory as obtained by taking notes during class in offline education.

Description

Online personalized learning system

The present invention relates to an online education system including a server for customized learning that recommends necessary supplementary learning materials to learners and a method thereof. After performing a test for each learner, the test results are presented in stages, and the understanding of each stage and It relates to an online education system and method that enables personalized learning that analyzes weaknesses and provides optimal supplementary learning materials to learners.

Conventional online education systems are designed to focus only on effectively delivering lecture content from instructor to learner, and neglect the aspect of delivering the satisfaction and understanding of the learner's lecture back to the instructor. This is one of the problems with the online education system, where many of our instructors and students are connected.

Depending on the system, a test to evaluate the learner's lecture comprehension is sometimes performed. However, post-learning or supplementary learning tailored to the test result is the responsibility of the learner, and it is difficult to receive help from the online education system.

Another problem with the conventional system is that learners who listen to online lectures are more likely to feel bored than offline education, and their concentration is lower than that of offline lectures.

The present invention for solving the above problems is an online education system and method that enables individual customized learning by providing optimal supplementary learning materials by configuring learners' test results step by step, analyzing learners' weaknesses and understanding at each step. The purpose is to present.

In addition, the purpose of presenting an online education system that allows learners to summarize and organize class content while taking lectures is possible, so that learners who listen to online lectures can increase their motivation and concentration. do.

The online education system for individual customized learning to realize the above objectives includes an instructor client that creates and provides learning materials or delivers the contents of a lecturer's lecture to students in real time, a student client who takes the lectures, For customized learning that receives and stores supplementary learning materials according to learner level from the instructor client, tests the degree of understanding of the lecture contents for learners, and searches for materials matching the test results among the previously saved supplementary learning materials and presents them to learners. It is configured to include a server.

The server for customized learning on the online education system includes: a learning data storage unit; An evaluation unit configured to form a test questionnaire based on the learning data of the learning data storage unit, test a learner using the configured questionnaire, and process a test result; An information retrieval unit for retrieving optimal supplementary learning materials from a learning data storage unit and other Internet media according to an evaluation result of the evaluation unit; And a recommendation unit having a student-data matching module that matches the searched data of the information search unit to the learner.

In addition, in order to improve the learner's learning motivation and concentration, this online education system allows learners to edit various learning materials including videos, as well as to save the edited data and to re-view the saved data. It is preferable to further include a note portion.

Hereinafter, with reference to the accompanying drawings, the online education system and method for personalized learning according to the present invention will be described as follows.

1 is a diagram schematically showing the overall network of an online education system employing a server for customized learning according to the present invention.

The online education system of the present invention produces and provides learning materials (videos, audio, various document files, etc.), or a lecturer client 100 that delivers the lecture contents of a lecturer to students in real time, and a student client who takes the lectures. (200) and the instructor client (100) receive and store supplementary learning data according to the learner level, test the degree of understanding of the lecture contents for learners, and search for previously stored supplementary learning materials and other Internet information. It is configured to include a customized learning server 300 that searches for data matching the test result and presents it to the learner.

As shown in Fig. 1, the instructor client 100 may provide learning materials for a non-real-time learning process, and if necessary, it is customized between the student client 200 and the instructor client 100 through a predetermined authentication procedure. By forming a channel through the learning server 300, it is possible to perform 1:1 remote lecture between the instructor and the learner.

The student client 200 may acquire supplementary learning materials such as other lectures recommended by the customized learning server 300 after responding to the test provided by the customized learning server 300, and receive the test again after the supplementary learning. In addition, if necessary as a result of the test, you can request a 1:1 remote lecture with an instructor.

2 is a system configuration diagram showing the configuration of the customized learning server 300 in detail.

As shown, the customized learning server 300 comprises a learning data storage unit 310 and a test questionnaire based on the learning data of the learning data storage unit 310, and uses the configured questionnaire to provide learners. According to the evaluation result of the evaluation unit 320, which tests and processes the test result, the optimal supplementary learning data is searched from the learning data storage unit 310 and other Internet media, etc. It is configured to include a recommendation unit 340 to match the learner.

In addition, the customized learning server 300 may further include an interface unit 350 that processes server access and disconnection of learners and instructors, and provides 1:1 remote lectures between instructors and students through a predetermined authentication procedure. A real-time broadcasting unit (360) that forms a channel for learning, and a summary note unit (which allows learners to edit various learning materials including videos, stores the edited data, and allows the stored data to be viewed again). It is preferable to be configured to include a main control unit 380 for controlling 370) and all of the modules 310 to 360.

The evaluation unit 320 includes a question submission unit 322 that presents a problem for diagnosing the degree of understanding of the lecture content by lecture progress, and an evaluation that analyzes the test result and analyzes weaknesses after testing the learner with the question. It can be configured as a data processing unit 324. The evaluation data processing unit 324 divides the test results into'classes' indicating the degree of understanding of the lecture, and provides the learners with subdivided vulnerabilities by grade and individual learners' vulnerabilities.

In addition, the recommendation unit 340 includes an information search unit 344 that searches for various supplementary learning materials based on the evaluation result of the question asked, and matches the optimal supplementary learning data among the searched materials to the learner. The student-data matching module 3 4 2 may be configured. Here, the information retrieval unit 344 is a learning data storage unit 310 and other Internet media in order to find supplementary learning materials suitable for the learner based on the vulnerabilities by grade and the individual vulnerability information of the learner as a result of the analysis by the evaluation unit 320. Search for information. The student-data matching module 342 selects and presents it to the learner from among the materials searched by the information retrieval unit 344 based on the analysis result of the evaluation unit 320.

The summary note unit 370 is configured to include an editing tool unit 372 that functions to edit the contents of the lecture while the student is listening to the lecture, and a personal data storage unit 374 that allows the edited data to be stored. I can. The editing tool unit 372 is a component that functions to enable learners to take notes in offline education while taking online education and obtain an effect similar to taking a class.It is possible to edit general documents so that lecture materials can be edited in real time. It can include various tools for editing videos from various office programs. In particular, if such editing programs and tools are mounted on the customized learning server 300 and the learner can operate in a software on demand (SOD) format, such programs do not need to be installed on the student client 200. . The personal data storage unit 374 can also be designed to be accessible at any time when requested by the student client 200 by making a database for each individual.

The real-time broadcasting unit 360 forming a channel for a 1:1 remote lecture between a learner and an instructor is limited to the case where the recommendation unit 340 recommends a 1:1 remote lecture to a learner, and the evaluation unit 320 Even after taking the supplementary learning suggested by the recommendation unit 340 according to the first test result, it is allowed to form a channel for 1:1 lecture only in special cases, such as the case where the level of understanding of the lecture is very low as a result of the second test. Can be designed. In addition, the real-time broadcasting unit 360 activates the editing tool unit 372 and the personal data storage unit 374 according to the control signal of the main control unit 380, so that the learner edits the lecture contents while taking the 1:1 remote lecture. It is desirable to design it so that it can be summarized.

3 is a flowchart showing the operation of the online education system performed through the server for customized learning shown in FIG. 2.

As illustrated in the flowchart of FIG. 3, in order to implement an online education system and method capable of individually customized learning of the present invention, first, the instructor client 100 accesses the customized learning server 300 to learn learning materials according to the lecture configuration. The file is stored and registered in the server (S100, S110).

On the other hand, when the student client 200 accesses the customized learning server 300 (S200), it is checked whether there is a test reserved by the corresponding client 200 (S210). If there is no scheduled test, the learner allows the learner to select a desired learning process, and the customized learning server 300 searches for and provides a data file selected by the learner from the stored learning data files (S212). The learner can summarize the contents of the lecture, such as editing video and documented learning materials provided by the server 300 using editing tools while taking the online education. When the learner completes one learning process (S214), the degree of understanding of the lecture taken can be tested. The test can be conducted immediately after the end of the learning process according to the student's choice, or the test can be scheduled at a desired time. (S216).

On the other hand, when the student client 200 accesses the server 300 (S200), if it is confirmed that there is a test reserved by the client 200 (S210), the corresponding test is a confirmation test, that is, the primary test and supplementary learning are completed. Then, it checks whether it is a secondary test for the same learning process (S220), and if the result is a primary test, performs the test (S222), and when the test is completed, the evaluation unit 320 of the customized learning server analyzes the test result. Thus, the level of understanding of the lecture is presented and the vulnerability of each level is analyzed. Subsequently, the recommendation unit 340 recommends supplementary learning materials suitable for the learner according to the analysis result of the evaluation unit 320 (S224).

After learning the supplementary learning material recommended by the recommendation unit 340, the learner may determine whether to perform a secondary test, that is, a confirmation test, for the purpose of confirming the effect of the supplementary learning (S230), and if necessary, the learner A confirmation test can be scheduled (S232). Conversely, if the learner fully understands the contents of the lecture after supplementary learning and determines that no further confirmation test is necessary, the process returns to the first step (S200) so that the learner can take another lecture.

When the confirmation test is reserved by the learner through the above process (S230), the confirmation test is performed (S226).

After the confirmation test, the evaluation unit 320 analyzes the test result and presents the degree of understanding of the lecture by grade, and the recommendation unit 340 may recommend a 1:1 remote lecture to the learner according to the degree of understanding. When 1:1 remote lecture is recommended, the real-time broadcasting unit 360 forms a channel for 1:1 remote lecture between the learner and the instructor (S228). 1:1 remote lecture is conducted in real time while the student client 200 and the instructor client 100 are connected 1:1 through the customized learning server 300. Sending/receiving is possible, and learners can create and save personal notes using editing tools even during 1:1 remote lectures.

The contents presented in the drawings and the detailed description of the invention are merely illustrative of the present invention, which are used for the purpose of describing the present invention, but are used to limit the meaning or the scope of the present invention described in the claims. no. Therefore, those of ordinary skill in the art will understand that various modifications and equivalent other embodiments are possible therefrom. Therefore, the true technical protection scope of the present invention should be determined by the technical spirit of the appended claims.

As described above, the online education system and method capable of individually tailored learning according to the present invention is a remarkable improvement of the existing education system in which the learner passively accepts the contents of the instructor in the learning process. The lecture comprehension is not only tested, but also supplementary learning materials appropriate to the learner's level are provided according to the test results, and if the level of understanding of the lecture is not improved even after the supplementary study, the instructor and the student use a separate channel. By enabling remote lectures to be promoted, learners' online education courses are not completed once, but systematically tailored learning according to the individual's level is continued until a certain level of understanding of the lecture is reached. There is an effect that is guaranteed.

In addition, the personal note function allows learners to edit all the learning content during the course, so online lectures that tend to become boring can be energized so that learners can focus more.

1 is a schematic configuration diagram of an online education system according to the present invention.
FIG. 2 is a block diagram showing the configuration of the customized learning server shown in FIG. 1.
3 is a flow chart showing the operation of the online education system according to the present invention.

Action

Claims (4)

In an online education system in which an instructor client, a student client, and an education server are connected through a network, the education server is a test for the understanding of a learner's lecture by questioning a problem to evaluate the lecture comprehension of the learner on the student client. And an evaluation unit that performs a confirmation test on a result of performing supplementary learning and analyzes and presents the result of the test and confirmation test.
A recommendation unit that searches for supplementary learning materials suitable for the learner according to the test result of the evaluation unit and provides them to the learner;
And, according to the result of the verification test of the evaluation unit, if the learner's level of understanding is still below a certain level even after education using supplementary learning materials, 1:1 remote lecture between the instructor client and the corresponding student client through a predetermined authentication procedure. Online education system capable of individual customized learning, characterized in that it is configured to include a real-time broadcasting unit for forming a channel for. The individual customized according to claim 1, wherein the education server further comprises a summary note function that enables the learner to edit various learning materials provided to the learner, and to store and re-read the edited data. Online education system that enables learning. The apparatus of claim 1, wherein the recommendation unit comprises: an information retrieval unit for accessing an education server or an Internet medium to search for supplemental learning material suitable for a learner according to a test result analysis content of the evaluation unit; And a student-data matching module that selects the most suitable material for the learner among the supplementary learning materials searched by the information search unit and presents it to the user. What is claimed is: 1. A method of operating an online education system in which an instructor client, a student client, and an education server are connected through a network, comprising: a problem submission step of testing a learner's understanding of online education content;
Receiving an intention to participate in the test from a learner;
Testing the learner with the submitted question according to the learner's intention to participate in the test;
Analyzing a learner's level of understanding based on the test result according to a plurality of levels;
Accessing an education server on an online education system or an internet medium according to the learner's level of understanding and searching for supplementary learning materials;
Determining a material most suitable for a learner among the searched supplementary learning materials, and presenting the selected material to the learner;
Retesting the learner's level of understanding according to the learner's intention when the learner completes the education using the suggested supplementary learning material; And analyzing the test result, and allowing a channel for a 1:1 real-time remote lecture between an instructor client and a student client to be formed when the learner's understanding level is still below a certain level. Online education method that allows individualized learning.

Images