KR20110079252A - Study management system for online lecture, and method for the same - Google Patents

Abstract

PURPOSE: A study management system for an online lecture and a method for the same are provided to improve the learning efficiency by offering explanation videos about wrong answers. CONSTITUTION: A web server(210) certifies a learner who has a terminal(100) to access through internet. If the learner selects a lecture among the lecture list, a video learning unit(220) provides a lecture to the learner. A learning manager(230) offers questions for evaluation to the learner after completing the video learning. A wrong answer managing part separately creates explanation icons about the wrong answers.

Description

Learning management system for online lectures and its method {Study management system for online lecture, and method for the same}

The present invention relates to online lectures, and more particularly, to a learning management system and method through learning evaluation (proficiency test) of learners in online lectures.

Recently, along with the rapid increase of the Internet user population, first-line education sites have proposed new learning methods using the Internet, which has led to a rapid growth of learning-related sites on the Internet.

However, the current Internet test-related sites simply adopt the method of downloading the test questions to the user's PC, sending the results to the Internet test-related site, and scoring the results. It provides a simple summary of the individual's grades.

In addition, the candidate's test results do not provide overall data on the test taker's overall data. Instead, the test taker provides an objective, comprehensive, in-depth, detailed, and individualized evaluation of his or her ability by providing only a cumulative score. There was a disadvantage of not being able to.

In addition, learners have a desire to evaluate their learning achievements efficiently, objectively, systematically and scientifically. In particular, candidates need an objective evaluation and diagnosis of areas they are good at and areas lacking, and thus require field-specific clinics to supplement them with deep learning. However, it is difficult to provide an analysis or evaluation of each area and a clinic for each student in a school or a school, and there is no means for evaluating and diagnosing it.

On the other hand, as a prior art for solving the above-described problems, Korean Patent Registration No. 10-625120 (Application Date: July 20, 2004) is disclosed an invention named "learning evaluation clinic service method and system thereof" There is a description with reference to FIG.

1 is a block diagram of a learning evaluation clinic service system according to the prior art.

Referring to FIG. 1, the learning evaluation clinic service system according to the related art includes a web service server 21, a member manager 31, a member DB 36, a question bank DB 37, a diagnosis and advice DB 38. ), A test question creation unit 32, a comprehensive analysis unit 33, a result file analysis unit 34, a weak sector analysis unit 35 and a clinic report generation unit 22.

The web service server 21 connects to the client systems 10 of individual and group members through the Internet and provides test questions, member management, and individual and group learning clinic services through the web service.

The member manager 31 manages member-specific test management and analysis information and clinic information about previous tests.

The member DB 336 stores and manages various evaluation and clinic information about the member's information and the member's previous test results.

The question bank DB 37 is a database constructed as attribute information by analyzing and linking pre- and mid-class classification, sub-classification, cross-section information and learning information by area, and the like for the correct / incorrect and evaluation areas for each item in advance.

Diagnosis and advice DB 38 analyzes the contents area, behavior area and comprehensive grade analysis according to the evaluation area for each item, analyzes the diagnosis and advice, and study plan, and matches the code with the question bank DB 37. Prebuilt database

The learning data DB 39 is a database constructed by matching attribute classification codes with similar questions for each item and learning materials for each category, together with the question bank DB 37 and the diagnosis and advice DB 38.

The test question questions unit 32 extracts a test question from the question bank DB 37 based on the evaluation analysis information and the test condition of the learner or the group to ask a test question.

The comprehensive analysis unit 33 receives the answers to the learners' test and scores the scores based on the correct / incorrect answers of the question bank DB 37, the comprehensive scores for the scores, and the content areas and behaviors previously classified for each question. It automatically generates and provides analysis by evaluation area that analyzes strengths and weaknesses for scores and points by area, cumulative analysis by comparison with previous grades, diagnosis and advice accordingly.

The result file analysis unit 34 provides learners' noon answers for each item scored by the comprehensive analysis unit 33, the correct answer rate for all the candidates, the response rate for each question and the like, and the classification information for each evaluation area of the corresponding question. Provide information to develop a diagnostic study plan.

The fragile sector analysis unit 35 compares and analyzes content areas classified by each item and evaluation areas for behavioral areas and areas that intersect with each other based on the analysis result of the result file, and determines scores, percentages, internal scores, and predetermined scores of the learners. Learner's strengths and weaknesses can be identified by providing the top scorers in the range and the average of the tied scores.

The clinic report generator 22 provides information analyzed in each component in the form of tables and graphs, and automatically generates diagnostic and advice results for each analysis result, and attaches learning materials to the clinic report. Create and provide for each learner and learning group through on / offline.

The learning evaluation clinic service system according to the prior art constructs a question bank DB by analyzing and classifying the attributes of each item in advance, and establishes a diagnosis and advice DB and a learning material DB according to the classified attributes, and learners If you take the test online or offline and enter the answer to the result, you can score it and perform a comprehensive analysis based on the classification area, analyze the result file to reveal the strengths and weaknesses of each sector, and also analyze the vulnerable sectors. It can automatically generate and provide clinic information such as the student's grade analysis, sectoral study plan, diagnosis and advice.

On the other hand, the development of a system and contents that allow a learner to select and learn a desired area at a desired time through the Internet has recently been developed.

Regardless of the learner's learning achievement, in the same way, the lectures and test questions were made uniformly, and the learner's learning achievement was judged according to the result of the noon-answer of the test question, and the problem collection was appropriately provided for the learner's learning achievement. The prior art has the advantage of automatically publishing and providing a collection of problems according to the level of the learner, but from the learner's point of view, by solving the problem collection tailored to the level, the learner solves the problem himself in the process of learning about the areas that are lacking. There was a problem that the effect of learning was low due to lack or lack.

On the other hand, as another prior art, Korean Patent Publication No. 10-2006-104249 (Application Date: March 29, 2005) discloses the invention named "Learners' level problems and lecture providing system and method," It demonstrates with reference to FIG.

2 is a block diagram of a learner's level problem and lecture providing system according to the prior art.

Referring to FIG. 2, the learner's level problem and lecture providing system according to the related art includes a learner PC 40, a web server 50, a member DB 61, a problem DB 62, and an editing server 64. And a video lecture DB 63.

The learner PC 40 may be a PC with Internet access, and the web server 50 may check whether the learner is connected to the member, and provide a collection of questions for each learner level through online or offline, and provide each of the problems in the provided collection of questions. Provide video lecture service of problem unit to explain.

The member DB 61 stores the basic information of the members subscribed through the web server 50 and the level of learners determined through the problems provided.

The problem DB 62 stores a plurality of problems having different levels for each area and codes designated for each problem, and extracts the problem when there is a request for problem extraction from the web server 50.

The edit server 64 edits the problem extracted from the problem DB 62 according to the publication format requested by the learner in the web server 50 and provides the edited problem to the learner PC 40 through the web server 50 or the digital printing machine. Print (65) and publish a collection of questions by learner level.

 The video lecture DB 63 stores a video of a problem unit that teaches a solution or principle for each of the problems stored in the problem DB 62, so that the learner sends a code corresponding to each problem of the problem book to the web server 50. In the case of requesting a connection, the video of the lecture solving the problem is transmitted to the learner PC 40 in the form of a stream.

According to the system for providing learners' level problems and lectures according to the conventional technology, the learners' level problems and lectures are provided to provide a collection of problems according to the learners' level of learning and to easily understand the process of solving a specific problem described in the collection of problems. Systems and methods can be provided.

On the other hand, online education method generally downloads a predetermined course that students have already made or takes in real time, and systematically classifies a large amount of question analysis cards collected for a long time. When a question is asked, it is common for students to assess their academic achievement by solving and submitting it.

Unlike the off-line education method, such an online education method does not require time and money to move to an education place. In particular, the online education method has a merit in that a student can select a suitable education content by opening a course by learning level or difficulty level.

However, if you have questions or vulnerabilities while learning a video course, you can't ask them directly, so it's cumbersome because you have to re-examine the entire training content provided.

In addition, when the problem is solved and wrong in the question bank, it is inconvenient to search for the video lessons provided again in order to know why they are wrong or where they do not understand.

Furthermore, in the case of students with low willpower, it is difficult to do repetitive learning, which is the most efficient way to improve learning achievement because there is no teacher to supervise learning, and how to repeat any part because of the huge amount of educational content There may be confusion as to what to do.

On the other hand, as a prior art for solving the above-mentioned problems, Korean Patent Registration No. 10-786786 (Application Date: April 23, 2007) No. "Online Education Method is linked to the video bank and video lectures" The invention is disclosed, with reference to FIG.

3 is a block diagram of an online education system in which a question bank and a video lecture are linked according to the related art.

Referring to FIG. 3, the online education system in which the question bank according to the related art and the video lecture are linked to each other includes a user terminal 70, a main server 80, and a database 90.

The main server 80 is connected to the user terminal 70 and the Internet, and performs a function of extracting and combining various educational contents stored in the database 90 and providing the learner. A variety of educational contents are stored in the database 90, which includes a concept video DB 91, a problem solving video DB 92, a learning problem DB 93, and a learner information DB 94.

According to the online education system in which a question bank and a video lecture are linked to each other according to the conventional technology, in the online education method using the Internet, when a learner accesses the Internet and learns online, the understanding and learning efficiency of a specific learning range It can provide an online education method linked with question banks and video lectures that can improve the quality of the problem and repeatedly learn about vulnerable areas.

However, the above-described learning evaluation clinic service system according to the related art of FIG. 1, the problem-based problem and lecture providing system of the learner according to the related art of FIG. 2, and the question bank and the video lecture according to the related art of FIG. 3 are linked. In the case of the online education system, there is a problem that the efficiency of the online learning evaluation is inferior, and the time required for each problem that is different for each learner cannot be accurately responded to.

The technical problem to be solved by the present invention for solving the above problems, the learning management system for online lectures that can improve the learning efficiency of learners by providing a commentary video on the wrong answer when learning evaluation for online lectures individually And a method thereof.

Another technical problem to be achieved by the present invention is to provide a learning management system and method for an online lecture that allows a learner to accurately respond to the time required for each problem by checking the time required for each problem in the evaluation of learning for the online lecture. It is to.

As a means for achieving the above-described technical problem, the learning management system for online teaching according to the present invention, a web server for allowing or authenticating a learner having a user terminal to access through the Internet; A video learning unit that provides a video lecture to the learner when the learner connected through the web server selects the corresponding lecture from the course list; A learning manager for providing a learner with a problem for learning evaluation (skill test) to the learner who has completed the video learning, and separately creating a commentary icon for an incorrect question in response to automatic scoring of the learning evaluation; And a database that stores information about the learner, information about the course list, video lecture information, problem information, and commentary video information, respectively, when the learner selects the commentary icon, the learning manager incorrectly answers the learner. It is characterized by providing a video commentary on the problem individually.

Here, the video learning unit may provide a response in real time when the learner inputs a query while providing a video lecture to the learner.

Here, the learning management unit may generate the commentary icon and display it on one side of the wrong answer problem.

Here, the video learning unit, a video providing unit for providing a video lecture selected by the learner to the learner; And while providing a video lecture to the learner, when the learner inputs a query may include a real-time question and answer search unit for providing a response to this in real time.

Here, the learning management unit, a problem generation unit for generating a problem by extracting a problem related to the lecture of the video learning unit from a problem DB; An automatic scoring unit that automatically scores the learner when all the questions are solved and submitted answers; Commentary icon generation unit for generating a commentary icon for the incorrect answers according to the scoring results of the automatic scoring unit; When the learner selects the commentary icon generated by the commentary icon generator, commentary video providing unit for providing a commentary video corresponding to each; And when the learner executes the learning evaluation on the generated problem, it may include a problem time analysis section for providing a check for each problem time required.

Here, the database, the member DB for storing the basic information of the member subscribed to through the web server and the level of the learner determined through the provided problem, the member DB for storing various evaluations of the previous test results; A course list DB for storing a list of lectures applied by the learner as a member; A lecture video DB for storing a video to be provided when the learner selects the corresponding lecture; A dictionary DB for searching and providing a response when a learner makes a question when the learner's video is learned; A problem DB for extracting and providing a corresponding problem related to the video learning when the learner who completes the video learning executes a learning evaluation (skill test); A commentary video DB that provides a commentary video about a problem that is incorrect after the learner finishes the learning evaluation and automatically scores it; And when the learner selects the time required for each problem, it may include a problem time DB for counting and storing the start and completion time of each problem solving.

On the other hand, as another means for achieving the above-described technical problem, the learning management method for online lectures according to the present invention, a) the learner enters the online classroom to select the lecture; b) providing the learner with a video corresponding to the selected lecture; c) if the learner finishes learning the video, providing the learner with a problem for learning evaluation (skill test); d) the learner performing a learning assessment on the provided problem; e) automatically scoring when the learning evaluation is completed by the learner; f) individually creating commentary icons for the incorrect answers according to the automatic scoring of the learning assessment; And g) when the learner selects the commentary icon, separately providing a commentary video corresponding to the learner.

Here, when the learner inputs a query while providing a video lecture to the learner of step b), a response may be provided in real time.

Here, when the learner selects the required time for each problem in step d), the time required for each problem may be analyzed and stored.

Here, the commentary icon generated in step f) is displayed on one side of the wrong answer problem, and may be selected by the learner in step g).

In this case, steps c) to g) may be repeatedly performed until the learner reaches 100 points.

According to the present invention, learner's learning efficiency can be improved by separately providing a commentary video about an incorrect answer at the time of learning evaluation for online lecture.

According to the present invention, the learner can accurately correspond to the time required for each problem by enabling the time required for each problem to be checked in the learning evaluation for the online lecture.

DETAILED DESCRIPTION Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is said to "include" a certain component, it means that it can further include other components, without excluding other components unless specifically stated otherwise. Also, the term "part" or the like, as described in the specification, means a unit for processing at least one function or operation, and may be implemented by hardware, software, or a combination of hardware and software.

As an embodiment of the present invention, there is provided a learning management system and method for an online lecture that can separately provide commentary videos on incorrect answers during online learning evaluation (skill test) and check the time required for each problem. Hereinafter, in the learning management system for online lectures according to an embodiment of the present invention, the online lectures are preferably language lessons, but are not limited thereto.

4 is a block diagram of a learning management system for online lectures according to an embodiment of the present invention.

Referring to FIG. 4, the learning management system 200 for an online lecture according to an embodiment of the present invention is implemented in a web site providing a video lecture to provide a web page to the user terminal 100 through the Internet. Learning management system 200 for online lectures according to an embodiment of the present invention, Web (210) server, video learning unit 220, learning management unit 230 and several databases (241 ~ 247) Include. Here, the databases 241 to 247 are the member DB 241, the course list DB 242, the lecture video DB 243, the dictionary DB 244, the problem DB 245, the commentary video DB 246 ) And the time required DB 247 for each problem.

First, the web server 210 provides a learning management service for online lectures according to an embodiment of the present invention by checking the access of the learner's membership.

The user terminal 100 is a communication device that can be connected to the learning management system 200 for online lectures according to an embodiment of the present invention through a network such as the Internet, for example, a wired telephone, a mobile communication terminal, a computer, or the like. Various communication devices may be used, and the user may access the learning management system 200 for online lectures conveniently and quickly through the Internet. The user terminal 100 communicates with the learning management system 200 for online lectures according to an embodiment of the present invention, and the user terminal 100 includes a mouse and a keyboard, and a predetermined command is provided through a mouse or a keyboard. Or data may be input. In this case, a web browser is generally installed so that users can communicate with external systems connected to the Internet through a web browser and receive necessary information and programs.

In the learning management system 200 for online lectures according to an embodiment of the present invention, the web server 210 may be an interface server connected to a plurality of user terminals 100, and may also include an authentication server or a channel server. Can be.

In general, the interface server corresponding to the web server 210 serves as an interface for the user terminal 100 to access the learning management system 200, and converts various information provided through each server to conform to a communication standard. It provides a plurality of user terminal devices 100, or receives the information transmitted from the user terminal 100 through the Internet to provide a function to each server.

The authentication server manages and performs user registration and system login. The authentication server may receive member information from the user terminal 100 connected through the interface server in order to use the learning management system 200, and determine whether the corresponding learner has a user with permission to use the learning management service.

At this time, the member DB 241 stores information about a user who has subscribed to the system member. The authentication server inputs information on a field of interest to the user at the time of membership registration. Accordingly, in the member DB 241, personal information such as a password, name, social security number, gender, age, and contact information corresponding to the user ID are provided. Information and characteristic information such as a field or a hobby of which the user is interested may be stored.

In addition, the authentication server permits the use of the learning management service if the information including the ID (ID), password, etc. input by the user connected to the system matches the information stored in the member DB 241. Alternatively, depending on the type of learning management service provided, it may be allowed to use the learning management service without authentication of the authentication server.

The video learning unit 220 provides a video lecture to the learner when the learner connected through the web server 210 selects the corresponding lecture from the course list. In this case, the video may be played on the screen of the user terminal 100 by a dedicated video player.

The learning management unit 230 provides a problem for learning evaluation (competence test) to the learner who has completed the video learning, and generates a commentary icon for the incorrect answer problem in response to automatic scoring of the learning evaluation. In this case, when the learner selects the commentary icon, the learning manager 230 individually provides the learner with a commentary on an incorrect answer problem.

Databases 241 to 247 may store information about the learner, information about the course list, video lecture information, problem information, and commentary video information, respectively, but are not limited thereto.

Specifically, the member DB 241 of the database (241 ~ 247) stores the basic information of the members subscribed through the web server 210 and the learner level determined through the provided problem, and various kinds of the previous test results Evaluations and the like can be stored.

Course list DB 242 stores a list of lectures applied by the learner who is the member.

The lecture video DB 243 stores a video to be provided when the learner selects the lecture. At this time, the video is provided in a pre-produced state by lecture for each lecture.

The dictionary DB 244 provides a response when a learner asks a question when the learner learns a video. For example, if you enter an English word, you can search for the meaning of that word.

The problem DB 245 extracts a corresponding problem related to the video learning when the learner who completes the video learning executes the learning evaluation (proficiency test).

The commentary video DB 246 provides a commentary video on the wrong answer problem after the learner automatically scores after completing the learning evaluation. At this time, the narration video is stored in the narration video DB 246 in a state produced in advance by the questionnaire.

The time required by problem DB 247 counts and stores the start and completion time of each problem solver when the learner selects the required time by problem.

Therefore, according to the learning management system for online lectures according to an embodiment of the present invention, by providing a commentary video for the wrong answer when learning evaluation for online lectures individually, it is possible to improve the learning efficiency of the learner, and also by problem By checking the time required, the learner can accurately respond to the time required for each problem.

On the other hand, Figure 5 is a detailed configuration diagram of the video learning unit in the learning management system for online teaching according to an embodiment of the present invention.

Referring to FIG. 5, the video learning unit 220 in the learning management system for online teaching according to an embodiment of the present invention may include a video providing unit 221 and a real-time question and answer search unit 222.

The video providing unit 221 provides the learner with the video lecture selected by the learner.

The real-time question and answer search unit 222 provides a response to the learner from the dictionary DB 244 in real time when the learner inputs a query while providing a video lecture to the learner.

6 is a detailed configuration diagram of the learning management unit in the learning management system for online lectures according to an embodiment of the present invention, Figure 7 is a learning management unit in the learning management system for the online lectures according to an embodiment of the present invention by problem It is a figure for demonstrating the case including a time analyzer.

Referring to FIG. 6, the learning management unit 230 in the learning management system for online lectures according to an embodiment of the present invention may include a problem generator 231, an automatic scoring unit 232, a commentary icon generator 233, and the like. The commentary video providing unit 234 may be included.

The problem generator 231 generates a problem by extracting a problem related to the lecture of the video learner 220 from the problem DB.

The automatic scoring unit 232 automatically scores the learner after solving all the generated problems and submitting an answer.

The commentary icon generator 233 generates a commentary icon for the incorrect questions according to the scoring result of the automatic scoring unit.

When the learner selects a commentary icon generated by the commentary icon generator, the commentary video providing unit 234 individually provides a commentary video corresponding to each.

On the other hand, Figure 7 is a learning management unit 230 in the learning management system for online teaching according to an embodiment of the present invention, compared to the above-described Figure 6, problem generation unit 231, automatic scoring unit 232, commentary In addition to the icon generating unit 233 and the commentary video providing unit 234, it indicates that the additional time analysis unit 235 for each problem.

When the learner selects the time required for each problem when the student solves each problem, for example, if the user clicks the problem start button displayed on one side of the problem, and then presses the problem completion button for the problem, the problem The time spent on the problem is stored in the time required DB (247), the time required by time analysis unit 235 analyzes and evaluates the time required by the problem, and subsequently, such analysis information is a learner or a problem Can be fed back to the questions.

On the other hand, Figure 8 is a view for explaining the operation of the video player in the learning management system for online teaching according to an embodiment of the present invention.

In the learning management system for online lectures according to an embodiment of the present invention, as shown in FIG. 8, the video player is a dedicated video player providing lecture images in a stream form to the user terminal 100.

For example, if a learner finds a difficult word or sentence while learning, the user pauses the lecture and then enters a query in the search window 310 of the video player. Your questions can be answered immediately. That is, the above-described real-time question and answer search unit 222 may be implemented in the video player. In addition, the video player may adjust the playback speed and display a bookmark.

On the other hand, Figure 9 is a view for explaining the creation of the commentary icon and the provision of a commentary video in the learning management system for online lectures according to an embodiment of the present invention.

In the learning management system for online lectures according to an embodiment of the present invention, as illustrated in FIG. 9, a commentary icon 410 is generated and displayed for a problem identified as an incorrect answer by automatic scoring. For example, If the question 3 is the wrong answer, a commentary icon 410 is generated and displayed on one side of the problem. Thereafter, when the learner clicks the commentary icon 410, the commentary video is played. That is, by providing a commentary video only for a problem that has been incorrectly answered, the user can check the commentary incorrectly in a short time. At this time, it is apparent to those skilled in the art that the shape or arrangement position of the commentary icon 410 may be arbitrarily set without being limited to the illustrated.

On the other hand, Figure 10 is a flow chart of the learning management method for online lectures according to an embodiment of the present invention.

Referring to FIG. 10, in the learning management method for online lectures according to an embodiment of the present invention, a learner having a user terminal 100 enters an online classroom through the Internet ( S111 ), and takes a corresponding lecture from a list. ( S112 ).

Next, the learner learns the video lecture ( S113 ), and completes the video lecture learning after a predetermined time ( S114 ). In this case, as described above, if the learner finds a difficult word or sentence while learning, the question can be solved immediately through the information called from the dictionary DB 244 by inputting a query after stopping the lecture for a while.

Next, when a learner executes a learning evaluation (proficiency test) related to the learned video lecture ( S115 ), the learner completes the learning evaluation after a predetermined time and submits an answer ( S116 ). At this time, in the learning evaluation, predetermined problems may be automatically extracted from the problem DB 245, and the number of problems and the difficulty of the problem may be adjusted in consideration of the level of the learner.

Next, the automatic scoring is performed to check whether the automatic scoring result is 100 ( S117 ). Here, 100 points means a case where all the questions are correct answers.

If the automatic scoring result is not 100 points, a commentary icon is generated on the wrong answer problem ( S118 ). Thereafter, the learner individually checks the commentary video only for the wrong answer problem by clicking the commentary icon ( S119 ), and then proceeds to the learning evaluation step of step S115 described above. At this time, the learning evaluation step of the above-described step S115 may raise the same problem as the wrong answer problem, but may extract a similar problem from the problem DB 245. Steps S115 to S119 may be repeatedly performed until the learner hits 100 points on the question. At this time, if the automatic scoring result is 100 points, it may be set not to proceed to the next lecture.

If the automatic scoring result is 100, the result is displayed on the screen, and the learner decides whether to learn the next lecture ( S120 ). Accordingly, if the learner does not select the next lecture, the program ends. However, if the learner selects the next lecture, the above-described steps S113 to S119 are repeated.

On the other hand, Figure 11 is a flow chart of the process of analyzing the time required for each problem in the learning management method for online teaching according to an embodiment of the present invention.

Referring to Figure 11, the process of analyzing the time required for each problem in the learning management method for online lectures according to an embodiment of the present invention, if the learner executes the learning evaluation (skill test) associated with the learned video lecture ( In step S201 , when the learner solves each problem, the learner selects a time required for each problem ( S202 ). That is, if the problem start button is displayed on one side of the problem, and then the problem completion button is pressed for the problem, the time required for the problem is stored in the problem time DB 247 for each problem. Here, the time required for each problem means a desired problem solving time determined according to the intention of the question, and since the problem solving time is different for each learner, if the specified time is exceeded excessively, even if the correct answer is the intended learning effect Will be difficult to achieve. The time required for each problem accumulates all learners for the same problem and analyzes the result. The analysis result is fed back to the learner as well as the learner.

Next, the learner solves the problem while pressing the problem start button and the problem completion button described above for all problems, and after a predetermined time elapses, the learning evaluation is completed and the answer is submitted ( S203 ).

Next, automatic scoring is performed to check whether the automatic scoring result is 100 ( S204 ).

If the automatic scoring result is not 100, a commentary icon is generated on the incorrect answering problem ( S205 ). Thereafter, the learner individually checks the commentary video only for the wrong answer problem by clicking the commentary icon ( S206 ), and then proceeds to the learning evaluation step of step S201 described above. At this time, the learning evaluation step of the above-described step S201 may raise the same problem as the wrong answer problem, but may extract a similar problem from the problem DB 245. Such steps S201 to S206 may be repeatedly performed until the learner hits 100 points on the question.

If the automatic scoring result is 100 points, the time required for each problem is analyzed and the corresponding icon is generated and the result is displayed on the screen ( S207 ). After that, the learner can check the time required for each problem ( S208 ).

The foregoing description of the present invention is intended for illustration, and it will be understood by those skilled in the art that the present invention may be easily modified in other specific forms without changing the technical spirit or essential features of the present invention. will be. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as distributed may be implemented in a combined form.

The scope of the present invention is shown by the following claims rather than the above description, and all changes or modifications derived from the meaning and scope of the claims and their equivalents should be construed as being included in the scope of the present invention. do.

1 is a block diagram of a learning evaluation clinic service system according to the prior art.

2 is a block diagram of a learner's level problem and lecture providing system according to the prior art.

3 is a block diagram of an online education system in which a question bank and a video lecture are linked according to the related art.

4 is a block diagram of a learning management system for online lectures according to an embodiment of the present invention.

5 is a detailed configuration diagram of a video learning unit in a learning management system for online lectures according to an embodiment of the present invention.

6 is a detailed configuration diagram of a learning management unit in a learning management system for online lectures according to an embodiment of the present invention.

7 is a view for explaining a case in which the learning management unit in the learning management system for the online lecture according to an embodiment of the present invention includes a time analysis unit for each problem.

8 is a view for explaining the operation of the video player in the learning management system for online teaching according to an embodiment of the present invention.

9 is a view for explaining the creation of the commentary icon and the provision of a commentary video in the learning management system for online lectures according to an embodiment of the present invention.

10 is a flowchart illustrating a learning management method for online lectures according to an embodiment of the present invention.

11 is a flowchart illustrating a process of analyzing a time required for each problem in the learning management method for online lectures according to an embodiment of the present invention.

<Brief Description of Drawings>

100: user terminal

200: Learning Management System for Online Lectures

210: web server

220: video learning unit

230: learning management

240: database

221: video provider

222: real-time question and answer search unit

231: problem generator

232: automatic scoring unit

233: commentary icon generator

234: commentary video provider

235: time required analysis unit by problem

241 member DB

242: Course list DB

243: Lecture Video DB

244: Dictionary DB

245: problem DB

246: Commentary video DB

247: DB required time by problem

Claims (11)

A web server that allows or authenticates a learner possessing a user terminal to access through the Internet; A video learning unit that provides a video lecture to the learner when the learner connected through the web server selects the corresponding lecture from the course list; A learning manager for providing a learner with a problem for learning evaluation (skill test) to the learner who has completed the video learning, and separately creating a commentary icon for an incorrect question in response to automatic scoring of the learning evaluation; And A database that stores information about the learner, information about the course list, video lecture information, problem information, and commentary video information, respectively. Including, When the learner selects the commentary icon, the learning management unit provides the learner with a commentary video on the wrong answer individually, learning management system for online lectures. The method of claim 1, The video learning unit, while providing a video lecture to the learner, when the learner inputs a query, the learning management system for the online lecture, characterized in that to provide a response in real time. The method of claim 1, The learning manager generates the commentary icon and displays on one side of the incorrect question learning management system for an online lecture. The method of claim 1, wherein the video learning unit,  A video providing unit providing the learner a video lecture selected by the learner; And Real-time question and answer search unit that provides a response in real time when the learner inputs a query while providing a video lecture to the learner Learning management system for online lectures, including. The method of claim 1, wherein the learning management unit, A problem generation unit generating a problem by extracting a problem related to the lecture of the video learning unit from a problem DB; An automatic scoring unit that automatically scores the learner when all the questions are solved and submitted answers; Commentary icon generation unit for generating a commentary icon for the incorrect answers according to the scoring results of the automatic scoring unit; When the learner selects the commentary icon generated by the commentary icon generator, commentary video providing unit for providing a commentary video corresponding to each; And When the learner executes the learning evaluation for the generated problem, the time required analysis unit for each problem to check and provide the time required for each problem Learning management system for online lectures, including. The method of claim 1, wherein the database, A member DB for storing basic information of members subscribed through the web server and the level of learners determined through the provided problems, and storing various evaluations of previous test results; A course list DB for storing a list of lectures applied by the learner as a member; A lecture video DB for storing a video to be provided when the learner selects the corresponding lecture; A dictionary DB for searching and providing a response when a learner makes a question when the learner's video is learned; A problem DB for extracting and providing a corresponding problem related to the video learning when the learner who completes the video learning executes a learning evaluation (skill test); A commentary video DB that provides a commentary video about a problem that is incorrect after the learner finishes the learning evaluation and automatically scores it; And When the learner selects the time required for each problem, the time required by problem DB to count and store the start and completion time of each problem solving Learning management system for online lectures, including. a) the learner enters the online classroom and selects the lecture; b) providing the learner with a video corresponding to the selected lecture; c) if the learner finishes learning the video, providing the learner with a problem for learning evaluation (skill test); d) the learner performing a learning assessment on the provided problem; e) automatically scoring when the learning evaluation is completed by the learner; f) individually creating commentary icons for the incorrect answers according to the automatic scoring of the learning assessment; And g) if the learner selects the commentary icon, providing a corresponding commentary video to the learner individually; Learning management method for online lectures, including. The method of claim 7, wherein During the course of providing a video lecture to the learner of step b), when the learner inputs a query, the learning management method for the online lecture, characterized in that to provide a response in real time. The method of claim 7, wherein If the learner selects the required time for each problem in step d), the learning management method for the online lecture, characterized in that for analyzing and storing the time required by the corresponding problem. The method of claim 7, wherein The commentary icon generated in step f) is displayed on one side of the wrong answer problem, and in step g), the learning management method for the online lecture, wherein the learner is selected. The method of claim 7, wherein Wherein c) to g) is a learning management method for the online lecture, characterized in that the learner is repeatedly performed until the automatic scoring results 100 points.

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