KR20050039296A - Realtime studying diagnosis system and control method thereof - Google Patents

Abstract

The present invention relates to a learning diagnosis system of a real-time concept using a learning diagnosis or a CDROM title or an internet communication network. The present invention relates to a learning diagnosis system of an example of a language field, in which an existing teacher analyzes a member's wrong problem over time. A diagnostic evaluation system using a diagnostic evaluation problem that is pre-assigned by a scientific analysis of a method that has been evaluated according to a subjective method. It is a diagnostic system that can diagnose a member's shortcomings in a real-time concept and provide customized problem services. It is very effective in identifying member's learning ability and weaknesses and providing customized problem service.

Description

Real-time studying diagnosis system and control method

The present invention relates to a real-time learning diagnosis system and a method of controlling the same. More specifically, when an existing member solves a problem, the teacher or member mainly analyzes the wrong problem and subjectively judges the subject and judges the problem accordingly. The present invention relates to a real-time learning diagnosis system and its control method that objectively analyzes weaknesses.

In the conventional learning diagnosis system, a simple learning diagnosis system that checks only correct and incorrect answers and expresses them as scores in the process of testing the contents of learning by problem solving, and stores the results of problem solving in a storage medium using a computer program. Was there.

However, the conventional technique is difficult to analyze objectively, and it is difficult to cope by making systematic data by checking only the correct answer and the wrong answer for the result of the students solving the problem, and attaching a tag (correct answer) to the answer every test. There was a problem that time-consuming delivery to the student.

Accordingly, the present invention has been made to solve the above problems, the object of the present invention is to allow members to solve the typical problem extracted by analyzing the member in the conventional standardized method that can analyze the ability of members in each field and the result Through the analysis method for each field adopted in the present invention, the system enables the member and the teacher to know in detail in a real-time concept and provides a customized problem service. The problem is to provide an objective way of teaching students.

Another object of the present invention is to let the teacher solve the evaluation analysis test questions made by the DB members composed of the correct answers and incorrect answers by the diagnostic workbook, and connected to the correct and incorrect answers DB table by using the scanner according to the present invention immediately To analyze the strengths and weaknesses of students and to provide directions.

Another object of the present invention is to solve the standard assessment test questions devised by the classification diagnostic evaluation table through CDRom or the Internet through the present invention program, analyze the current status of members on the fly and provide customized problems accordingly. In the language field, students can easily obtain the real-time results of language domain learning diagnosis by comparing the correct answer and the wrong answer with the DB diagnosis table connected to the DB table created using the study classification table. The problem is that you can improve your member's skills quickly.

Therefore, the present invention solves the above problems and provides diagnostic criteria and scientific analysis methods and procedures for each field to grasp the academic ability of members, and learners connect the present invention system by connecting with DB utilization technology on the Internet to utilize the Internet. In addition, we have prepared a technical method that can be used, and the analysis data of the existing test questions in Korea for the extraction of the reference problem is made by making an example of the language domain and making the point related to the present invention, and comparing it with the answer sheet which the member has unwrapped. By configuring DB table of correct answer and wrong answer that can evaluate member's standard in advance, you can know the result on the member's answer sheet on the spot, and accordingly, it has the characteristics that can be customized to the member at the institute and school. have.

Hereinafter, the configuration of the present invention will be described in detail with reference to the accompanying drawings for a preferred embodiment.

First of all, the present invention consists of a process for producing a learning diagnosis, a member diagnosis process, a diagnosis evaluation process, and a customized problem service process in order to provide a service for real-time learning diagnosis and learning to members who want to learn on the Internet and offline. have.

In the learning diagnosis production step, the contents of representing the contents of the diagnostic analysis analysis are included in the correct answer and the wrong answer of the learning diagnosis sheet for the member's evaluation. It is connected with DB Table to provide the function of learning diagnosis in real time by comparing the right and wrong answers in the members' answers later.

In the member diagnosis step, the member diagnoses the student's answer after providing the student diagnosis sheet produced as a result of the learning diagnosis production step offline or via the Internet and receiving the answer. The scores are compared according to the real-time concept, and the grade is lower than the second grade test according to the result of the mathematics ability according to the grade and the difficulty. The member's answer is corrected by the diagnosis DB table and the real-time concept. The results of this study are scored by comparing the incorrect and incorrect answers to obtain a diagnostic evaluation for each category and category.

The diagnosis result evaluation step is to provide a diagnostic evaluation and learning management method of the above-mentioned real-time concept through the offline presentation or the Internet to the member to evaluate the mathematics competency evaluation and the evaluation according to the item and the classification item.

The custom problem service step is to provide a real-time learning diagnosis method including a custom problem service process for providing a member a learning problem prepared in advance in accordance with the results of the diagnostic evaluation to the member in real time.

The real-time learning diagnosis system of the present invention is divided into a case of using a learning diagnosis offline, a case of using a storage medium, and a case of using the Internet, and its components are as follows.

First, in the case of real-time learning diagnosis using the learning diagnosis, the answer classification module that classifies the answers into real-time concepts with correct answers and correct answers using a computer and a scanner, and an incorrect answer of the learning diagnosis. A learning diagnosis module that processes the function of notifying the diagnosis result in real-time concept by comparing the diagnosis DB table produced using the correct answer, a diagnosis result providing module which receives the learning diagnosis evaluation result from the learning diagnosis device and sends it to the display device, and the diagnosis. It consists of a graphic processing module that displays the results in a graphic and table that members can see. The result is to provide students with a customized learning diagnosis through a study paper, storage media or the Internet.

In case of using the storage medium, if the diagnostic system is implemented by applying a storage medium such as CDROM or DVD instead of the paper-based learning diagnosis, such as offline learning diagnosis, the learning diagnosis is provided as a storage medium and the scanner scans. Instead, the answer classification module that processes the correct and incorrect answers by the computer, and the learning diagnosis module that processes the function of notifying the diagnosis result by comparing the diagnosis DB table produced using the incorrect and correct answers from the learning diagnosis with a real-time concept, and learning It consists of a diagnosis result providing module which receives the learning diagnosis evaluation result from the diagnosis module and sends it to the display module, and a graphic processing module that displays the diagnosis result through graphics and tables to the members.

In the case of using the Internet, a web server providing learning materials to a member's terminal connected through online, a learning diagnosis DB providing a learning diagnosis in connection with the web server, and answers received from the member terminal are correct answers. Answer classification module for classifying the wrong answers, learning diagnostic module for providing a learning diagnosis results from the answer classification device and the diagnostic table, and receives the diagnostic results from the learning diagnostic module to provide the diagnostic results sent to the display module It consists of a module and a graphic processing module that displays the diagnosis results through the graphics and tables to the members nicely to provide a customized problem service by connecting the data provided by the diagnosis result providing apparatus with the learning problem DB.

The present invention real-time learning diagnostic method will be described as follows together with the diagnostic classification table.

The analytical diagnostic test questions are based on the university's mathematics competency test and domestic and overseas related data and performance analysis results. For example, the language and language analysis method is preferred as the diagnostic classification table of the language diagnosis program in Table 1. As in the embodiment, it is divided into modern literature, listening, writing, inscription, and classical literature (Category 1, large category) and divided into fields and divided into verse, prose, humanities, art, science, and language (Category 2, field classification). In the following, it is divided into questions and divided into domains such as realistic thinking ability and critical thinking ability (Category 3, domain classification), and again divided realistic thinking ability into realistic interpretation of contents (Category 4, middle classification). In addition, the factual understanding of the contents is divided into the identification of information and the identification of core information (Category 5, small and medium classification). After dividing the text into a database, it is used to make a diagnosis problem and analyze the results by connecting it with the correct and incorrect answers of the language diagnosis.

That is, the preferred embodiment for producing the above diagnostic learning classification table 1 is as follows.

Example 1

Basis of Production of Evaluation Table by Classification

(1) literature research and basic research

(A) review and analyze previous studies related to improving the language proficiency testing system;

(B) the evolution of language competence evaluation theory and recent evaluation theory

(C) Korean language curriculum and textbook analysis

(2) Item analysis of language ability diagnosis evaluation

(A) Analysis of recent university mathematics competency language area and grades in 1997-2002

(B) Analysis of actual test items in the language area of 1st, 2nd, 3rd graders

(3) Production of language ability diagnosis evaluation evaluation criteria

(A) reviewing the purpose and scope of evaluation;

(B) Investigate the principles for development of standard criteria

(C) Development of evaluation contents by area

(D) developing evaluation criteria for each category;

(E) Evaluation criteria by classification

The following [Table 1] was produced using the above principle.

[Table 1] Classification table of language evaluation assessment

1 is a process for producing a learning diagnosis largely in the overall flow chart of the real-time learning diagnostic control method according to an embodiment of the present invention; Membership diagnosis process; It consists of a learning diagnosis evaluation process and the language domain diagnosis evaluation classification table is a reference table for producing a DB table.

The learning diagnosis production process may include applying a correct answer and an incorrect answer by selecting a learning problem as a classification 1 to classification 5 for each item in a language domain diagnosis evaluation classification table (S10);

Comprising a step (S20) of obtaining a DB table by connecting the correct answers and wrong answers of the number of questions 1 to n with the items of the language domain diagnosis evaluation classification table.

In the step S10 of applying the correct answer and the incorrect answer by selecting the learning problem as the classification 1 to the classification 5 of the language domain diagnosis evaluation classification table, the selection of the area and the classification of the criteria for each item of the learning diagnosis in the language domain diagnosis evaluation classification table is selected. It is a step of producing a diagnosis problem for each item by making a diagnosis problem applying the correct answer through the problem and applying an incorrect answer to the surrounding classification range of the corresponding area.

The step (S20) of producing the DB table by connecting the correct answers and the incorrect answers of the questions 1 to n with the items of the language domain diagnosis evaluation classification table is performed when the member writes the correct answers and the incorrect answers in the corresponding area and classification for each item on the answer sheet. It is organized in the form of a database for on-the-fly diagnostic evaluation.

The member diagnosis process may include applying the learning diagnosis acquired through the process of producing a learning diagnosis to an offline learning diagnosis, a storage medium, and the Internet (S30);

Displaying the score grade and the difficulty display and the result of the performance as a result of matching the correct answer of the learning diagnosis with the DB table (S40);

Comparing the score grades of step S40 (S50);

Operating the secondary diagnostic program in the case of the grade after the evaluation (S60);

Comparing the result of the correct answer and the wrong answer solved by the learner with the DB table (S70);

Diagnosing the result value compared to the DB table by item, major classification, classification area (S80).

Applying the learning diagnostics acquired through the learning diagnostic paper production process to the offline learning diagnosis, storage medium, and the Internet (S30), the application of the learning diagnosis is a method of allowing the teacher to solve the learning diagnosis to the members offline. The storage medium provides a learning diagnosis through a storage medium such as a CD-ROM, and the Internet provides a learning diagnosis and customized learning problems through the Internet.

The step of outputting the score grade and difficulty display and the result of the performance as a result of comparing the correct answer of the learning diagnosis with the DB table (S40) compares each member's answer sheet and the member's answer sheet of the DB table to answer each member's correct answer. And the difficulty display of the corresponding item and the performance by the score is outputted as a diagnosis result.

Comparing the score grade of step S40 (S50) is to evaluate the level of the member.

After the evaluation, if the rating is less than or equal to the step of operating the second diagnostic program (S60) is to perform a second diagnosis to the members below the rating compared to the performance rating and the predetermined rating.

The step of comparing the correct answer and the incorrect answer solved by the learner with the DB table (S70) is a member evaluating and evaluating the member by comparing each item of the DB table derived from [Table 1] with the real-time concept of each member It is to.

The step S80 of calculating the result value compared to the DB table by item, major classification, and classification area (S80) is a result of the evaluation of the member's diagnosis as shown in FIG. 2A to FIG. The classification is calculated according to the configuration of the figure.

The learning diagnosis evaluation process includes the step of evaluating through the graphic processing according to the evaluation of mathematics ability and the item-by-item classification and the classification, using the member diagnosis result value according to problem solving (S90);

Comprising the correct score and the correct answer and the incorrect answer according to the classification diagnosis final result value of the classification area by providing a custom problem service (S100).

Using the member diagnosis result value according to the problem solving step (S90) through the graphic processing according to the evaluation of the mathematics competency, item-by-item classification, and classification and classification area (S90) is a classification item comparing the performance results and the correct and incorrect answers The results of each diagnosis are displayed in a graphic and a table and displayed to each member.

In the step S100 of providing a customized problem service according to the learning result for each classification area through the correct score and the correct answer and the wrong answer (S100), the mathematics ability of the correct score and the incorrect answer and the comparison diagnosis result are substituted into the learning problem. It is to provide a customized learning problem in a real time concept.

In addition, the learning diagnosis evaluation process consisting of the step S90 and step S100 is a grade for each area, classification, and grade 1 to n in advance in order to service a customized problem to members, and the grades for each member's answer area, classification Compared to the designated grade, the grade 1 to n grades are designated as a manual for each grade, that is, a manual next to the diagram shown in FIGS. 2B to 2D, and is represented by the learning method instruction 10 of FIG. 2D. The service is tailored to the instructional instructions.

In order to explain in more detail with reference to FIG. 1, an embodiment is described as follows.

Example 2)

Inscriptionology-Humanities-Realistic thinking ability-Realistic understanding of structure-Relationship between contents

[A] The facts of past human society are not all history. For example, the fact that Kim Baek and Maiden Park were married cannot be history, but the fact that Hangeul was created and the fact that Imjin Dwarf occurred was history.

[B] In this way, trivial matters, routine repetitions, can't be history, and only huge facts, once-occurring facts, will become history, but not necessarily. Solar eclipses and lunar eclipses became history because they thought that nature was a phenomena and that the sky warned of the absurdity of the human world, and that the process of woodblock printing or wood type printing in metal type could not be history because its importance was not recognized. .

[C] In this sense, history can be said to have been recognized and recognized as important by someone in the past. In this case, the person who picked it could be called the historian, the historian, and the facts that were chosen were left in various records including history books, and it was not history that was left in the records.

[D] If you think again about what becomes history, what has happened in human society of the past that can still remain in history is always important and worthy of reference, even as human wisdom develops. You can think of these facts as being higher and expanding rather than diminishing.

[E] All history has a different meaning as the times change. History, whose meaning cannot change, loses its place as history as the times change. Thus, it can be said that only history that can be changed higher and larger, which can change according to the change of the age, remains as eternal history.

1. Which statement is inappropriate for each paragraph?

① (a) – The question is raised about the general meaning of the object to be discussed.

② (b)-Recounting the nature of the object of discussion.

③ (C)-Considering the above, the concept of the subject to be discussed is summarized.

④ (D)-The above discussion is totally denied.

⑤ (e) The discussion is concluded with the contents of the previous paragraph.

Answer ④

Paragraphs constitute a single unified idea and extract the main content of each paragraph to analyze its structure. Use this to identify connections with other paragraphs. In some cases, it is easy to identify the relationship between the front and back by inserting a proper conjunction, which requires some structural logic of the student.

The factual understanding of the structure and the ability to express it can be used to accurately understand the structure of the entire text, the structure of the paragraph, the connections between the sentences that make up the paragraphs, the connections between the paragraphs and the paragraphs, and the organization and development of the content. Say. Types that describe or chart the logical structure or relationship of the text with various topics of reading or reading sanctions are effectively used as appropriate types to assess the factual understanding of the structure. However, in order to understand such contents, it is helpful to understand the terms that explain the relationship between the central sentence and the supporting sentence, to identify the linkage of the sentences, and to understand the relationship between the sentences.

Fingerprint Commentary-Kang Man-gil, <How to View History> It is a statement that the meaning of history is changing according to the times. It embodies the definition of history to help readers understand it.

(A) Paragraphs that raise questions about the general meaning of the object of facts and history of human society. The student who chose ① is a student who has insufficient understanding of what to handle in the fingerprint. He is a poor student with a poor ability to think realistically about the sanctions to be dealt with in the entire fingerprint.

(B) recounts the character of (a) and argues.

② could find the difference easily by comparing with (a) if they found the subtopic of the article by grasping the (b) conjunction of the fingerprint and the tone of the sentence. If he did not solve ②, he could not analyze the atmosphere or tone of the context.

(C) defines another definition of (a), so that the wrong student lacks a realistic understanding of the structure and (a) further elaborates and defines the history in (c) and denies it entirely. The description is wrong. (E) provides a basis for (d) and elaborates opinions. The wrong student does not understand the relationship between the contents.

In Example 1, the answer 4 is set by the relationship between the contents of the factual understanding (classification 4) of the structure of the realistic thinking ability (classification 3) of the humanities (classification 2) in the non-literacy (classification 1) of the classification table. The member is connected to the result of diagnosis of each item in the result table by the score of 2 correct answers in the field belonging to the difficulty level D. The member obtains a good form in the relationship between the contents of the above steps (Category 5). The result is that the classification table is determined to have a problem in factual thinking ability (category 3), and if you choose wrong answer 2, it is also determined to be in factual thinking ability (category 3). If (Category 4) is insufficient and incorrect answer 5 is selected, it is connected to the DB table as a result of lack of relationship (category 5) between contents. In other words, when the member of question 1 selects the correct answer 4, the non-literacy and humanities of FIG. Of realistic thinking skills The result of Joe's realistic interpretation also scores 2 points for correct score and the difficulty is the result of class D. The score of the result calculation by classification according to the difficulty level and understanding level of DB table provided by [Table 1] is 10. Point (Dx5: A (5 points) B (4 points) C (3 points) D (2 points) E (1 point), 5 points of understanding, and incorrect answer 1 (2 points of difficulty x 1 point of difficulty) ) 2 points, incorrect 2 points (2 points of difficulty x 1 point of understanding), 2 points, wrong 3 points (2 points of difficulty x 2 points of understanding) 4 points, wrong 5 points (2 points of difficulty x 3 points of understanding) With 6 points, you get the result score for each category of correct and incorrect answers.

In addition, if the incorrect answer 1 is selected, the content of the classification evaluation, which is a description of the serious lack of understanding of the realistic thinking ability, is expressed in the result description for each classification in FIG. 2B.

Therefore, the incorrect answer is the basis for analyzing and evaluating the member's ability according to the comprehension, and in the connection explanation, the correct answer affects Fig. 2b, which is a graphic diagram of the major classification and classification area, and the result score for each classification of the correct answer and the incorrect answer is applicable. A good description of the classification area is indicated and this result is shown in the example of FIGS. 2B, C, and D.

2b and cd are shown in graphs, numerical values, and diagrams by calculating the scores of the correct answers through the learning diagnosis and the sum and ratio of each of the classification areas of the correct and incorrect answers. The separate calculated values are expressed as total point 2 classification.

 In addition, if the incorrect answer 1 is selected, the content of the classification evaluation, which is a description of the serious lack of understanding of the realistic thinking ability, is expressed in the result description for each classification in FIG. 2B.

Example 3

Example 2) Contemporary Literature-Verse-Reasoning Imagination Ability-Reasoning Imagination of the Process-Identification and Application of Images

(end)

The grass lies down.

I'm flying in the east wind driving the rain

The grass lies down

I finally cried.

I was crying more because it was cloudy

Lie down again.

The grass lies down.

Lie faster than the wind.

Crying faster than the wind

Rising before the wind

The day is cloudy and the grass lies down.

To ankle

Lie down to your feet.

Even if I lie late than the wind

Rising before the wind

Even if I cry later than the wind

Laugh before the wind.

The day is cloudy and the grass roots lie down.

1. In (b), what is not appropriate to describe the image of 'wind'?

① Can be classified into tactile images.

② Free mobility is highlighted.

③ The image is in opposition to the 'pool'.

④ Remind people of the power to suppress the weak.

⑤ It belongs to an image similar to that of 'rain'.

Answer ②

The evaluation area of contemporary poetry can be divided into two parts. One is related to whether we can understand the concept essential to understand and appreciate poetry and apply it to actual poetry appreciation. The other is to evaluate the ability to respond appropriately to the work and to express it accurately. Therefore, modern poetry is the best sanction for evaluating the ability to express and understand the abstract idea in vivid language, or to express and understand the image that comes to mind, imagination, and memory.

First, understanding the contents of poetry and figuring out what role a given image plays based on poetic flow is closely related to the students' reasoning imagination-the ability to grasp and understand images.

Fingerprint Commentary

Kim Soo-young (1921 ~ 1968) mainly presented artistically purified works by digesting ideas, and played an avant-garde role of participant poets with the exploration of new municipal administrations rooted in intense reality and resistance. First of all, 'pool' is a poem dealing with poetic reality through natural objects. The repetition of the conflict between the seemingly trivial life and the enormous power to suppress it. Here the grass is a fragile being crying and lying down by the wind, but it stands up again and symbolizes a people with a strong life force that laughs.

Incorrect answer

① 'Wind' belongs to the perception experience through the skin, so the tactile image is correct. If you choose No. 1, you don't know the concept of image among the basic elements that make up a poem.

③ If 'pool' is short, 'wind' is a strong man. This is an evaluation of whether she can compare and contrast the universal sentiment of Shear. It is a matter of image grasp

④ 'Wind' is shown as a wielding power that oppresses 'pool'. ⑤ 'Rain' comes from driving 'wind', so they belong to similar images. This is a view to check whether the image has an attribute.

Examples ④ and ⑤ are questions that most people grasp symbolic attributes that can be perceived through poetic words and ask whether they can be associated and applied to the whole poem.

Example 2 relates to the problem of the identification and application (classification 5) of the image of the inference image (classification 4) of the process of the reasoning imagination ability (classification 3) of the verse (classification 2) in the modern literature (classification 1) of the classification table. The member who answered the correct answer 2 knows the result of the correct score of difficulty level D on the diagnosis result for each item in the result table, and the member who selects the incorrect answer 1 selects the imagination (classification 2) of the verse (classification 2). A member who lacks the ability to apply an image (classification 5) of the mystery image (classification 4) of the diagnosis results in the diagnosis and obtains 6 points for each classification (difficulty level 2 X understanding level 3). Members who are the same and have poor image grasp (Category 5) and score 6 points for each category (Difficulty 2 X Comprehension 3), and members who select Incorrect 4 and Incorrect 5 are members who lack basic reasoning imagination (Category 4). (Difficulty 2 X Understanding 2) 4 points It appears as a result of the evaluation.

In addition, when the member selects the incorrect answer 1, the result does not receive a distribution in the field of reasoning and imagination in modern literature and verses, and the situation is shown as a result of FIG. 2A and the corresponding diagnosis result is also derived from FIGS. 2B, C, and D. As shown in the above example, the results of the correct score and the correct and incorrect answers for each question are summed into the major categories (listening, writing, etc.) and the classification areas (realistic thinking ability, critical thinking ability, etc.). , d to the members.

3 is a step (S100) of calculating a score multiplied by a correct answer and a wrong answer understanding score and a difficulty level for each item in a diagnostic evaluation flow chart of answer scores according to a preferred embodiment of the present invention;

Summing by classification area (S110);

A diagnosis result of applying to each classification area of the total score 2 classification of FIGS. 2B to 2D (S120);

Applying a description by classification according to the total score 2 classification (score per classification) (S130);

Calculating the correct score per item (S140);

A major classification, classification area, and summing (S150);

Diagnosis result Graphical display for each of the major categories and regions in FIG. 2A (S160) for explaining a corresponding classification region in FIGS. 2B to 2D;

The diagnosis result is composed of the step of allocating the learning method instruction and the customized learning problem in Figure 2d (S170).

Figures 4a to 4c is a whole configuration of the real-time learning diagnostic system according to a preferred embodiment of the present invention comprises a learning diagnosis system using a scanner, a learning diagnosis system using the Internet, and a learning diagnosis system using a storage medium.

The learning diagnosis system using the scanner includes a teacher computer 100 including an answer classification module 101, a learning diagnosis module 102, a diagnosis result providing module 103, and a graphic processing module 104, and a display device 200. And the scanner 300.

The answer classification module 101 included in the teacher computer classifies the correct answer and the wrong answer of the member answer sheet through a comparison of the correct answer and the incorrect answer predetermined through the scanner, and scans the member answer sheet through the learning diagnosis sheet as shown in FIGS. 6A to 6J. Module (Fig. 6a) and the module for setting the learning diagnostic of the predetermined type (Fig. 6b) and the scan setting module (Fig. 6c) and the dot image scan module (Fig. 6d) and the dot image scan of the corresponding image according to the setting The second module (Fig. 6e) and the direct shape scanning module (Fig. 6f) to scan the border of the answer and the direct image scan the second module (Fig. 6g) and the corresponding area setting module (Fig. 6h) of the answer and the correct and incorrect scan ready Module (FIG. 6I) and a correct answer scan completion module (FIG. 6J).

The learning diagnosis module 102 included in the teacher computer is a module for outputting the result of the correct answer and the incorrect answer for each item output from the answer classification module in comparison with the DB table of FIGS. 5A to 5B and scoring the result by comparing with the DB table. Module (FIG. 6K) and scoring completed module (FIG. 6L).

The diagnosis result providing module 103 included in the teacher computer calculates the result of each item of the correct answer compared to the DB table of FIG. 5A provided by the learning diagnosis module and the scoring result of each item corresponding to FIGS. 2A and 2B and the difficulty and classification scores. The result corresponding to the item of the incorrect answer compared to the DB table of FIG. 5B is added for each classification area to output the result corresponding to FIGS. 2B to 2D.

The graphic processing module 104 included in the teacher computer outputs the output data compared with the DB table a provided by the learning diagnosis result providing module. 2B shows the sum of the classification of the correct answer scores and the classification areas in graphic,% and text in FIG.

 The results and explanations of the result concatenation calculation of the results of the correct answer and the incorrect answer for each DB table classification of FIG. 5B are shown in tables and texts in FIGS. 2B to 2D. In Figure 2d, a method of learning is given.

The display device 200 is a device for displaying the process and results of the learning diagnosis program.

The scanner 300 reads the image of the answer.

The learning diagnosis system using the Internet includes a learning diagnosis DB 601, an answer classification module 604, a learning diagnosis module 605, a member DB 602, a learning problem DB 603, a diagnosis result providing module 606. And a web server 600 composed of a graphic processing module 607, a member computer 400, and the Internet 500.

The learning diagnosis DB 601 included in the web server is a DB in which the member provides the corresponding learning diagnosis according to the member's information in accordance with the DB.

The answer classification module 604 included in the web server instantly classifies the correct answer and the wrong answer by comparing the answer sheet of the pre-configured answer sheet with the DB table of FIGS. 5A to 5B to process the answer provided by the web server in real time. will be.

The learning diagnosis module 605 included in the web server compares the result of the correct answer and the wrong answer for each item output from the answer classification module with the DB table of FIGS. 5A to 5B.

The member DB 602 included in the web server is a database of members who receive the learning diagnosis, receive a learning diagnosis evaluation, and receive a customized learning problem service.

The learning problem DB 603 included in the web server is a database of a plurality of questions prepared by the member to receive a learning diagnosis.

The diagnosis result providing module 606 included in the web server displays the result for each item of the correct answer compared to the DB table of FIG. 5A provided by the learning diagnosis module. 5B and output the results corresponding to FIGS. 2B to 2D by summing the results for each item of an incorrect answer before comparison with the DB table of FIG. 5B for each classification area.

The graphic processing module 607 included in the web server outputs data compared with the DB table of FIG. 5A provided by the learning diagnosis result providing module. In FIG. 2B, the sum of scores for each category is shown by the graphic process of FIG. 2B, and the results and explanations of the result linkage calculation for each DB table classification of FIG. 5B are shown in tables and texts in FIG. 2B through FIG. 2B.

The member computer 400 is a kind of client for accessing the learning diagnosis system of the present invention.

The Internet 500 is a communication network for connecting a member computer and a web server to receive a learning diagnosis, a learning diagnosis evaluation, and a customized learning service.

The learning diagnosis system using the storage medium includes the answer classification module 702, the learning diagnosis module 703, the diagnosis result providing module 704, and the graphic processing module 705 in the storage medium 700 such as a CD-Rom. And the diagnostics are stored on the program and the member computer installs an operating system and an activation program for performing the diagnostics program.

In particular, the DB tables shown in FIGS. 5A to 5B are added to the major categories such as listening and writing scores for each DB Table item of FIG. In addition, the graphic description for each classification area is applied to the% and the score, and the evaluation description (selection between good, bad, and medium) of the DB Table classification and classification area is shown in each classification area of FIGS. 2B to 2D. Links to star descriptions and instructional methods.

In addition, in the DB Table of FIG. 5B, the calculation of difficulty x score score, which is a calculation for each classification, is performed by a member having difficulty levels A, B, C, D, and E (5, 4, 3, 2, 1, respectively). If the correct answer to the problem of difficulty A is correct, 25 points will be calculated by calculating 5 (correct answer points) X 5 (understand points), and 3, 2, and 1 points will be given according to the choice and understanding of the wrong answer. In the case of incorrect answer selection, if the problem is understood to some extent, three points (incorrect answer points) X5 (understand points) are assigned to 15 points, and the member's correct answer and the scores of the classification areas of the incorrect answers are added to each other. It is applied to the score of each classification area of the total score 2 classification, and the description of each item of the DB table of FIG. 5B is applied to the description of each classification area of FIGS. 2B to 3D in connection with the above score and applied to the learning instruction method.

According to the present invention, the members can easily find and supplement the weak part of the member in a near real-time concept in accordance with the CDRom title or the learning evaluation diagnosis using the present invention on the Internet or academy and school. Through knowing the pros and cons through the effect can be set to the direction of the course, anyone in the school or institute can easily compensate for the students' weaknesses through the present program and make a career decision and in the long term scientific analysis of the present invention It is an excellent invention in the learning industry using the Internet because it has the effect of guiding effective study methods through the diagnosis method and the effect of allowing students to take time by reducing duplication and unnecessary learning.

1 is a flow chart of a real-time learning diagnostic control method according to an embodiment of the present invention,

2a to 2d is a diagnostic evaluation of the member according to a preferred embodiment of the present invention,

Figure 3 is a flow chart of the evaluation results of the answer score according to a preferred embodiment of the present invention,

4A to 4C are block diagrams of a real-time learning diagnosis system according to a preferred embodiment of the present invention;

5a to 5b is a question analysis DB table according to a preferred embodiment of the present invention,

6A to 6L are exemplary diagrams of a real-time learning diagnosis system using a scanner according to a preferred embodiment of the present invention.

Description of the main parts of the drawing

10: Support Learning Method 100: Teacher Computer

101, 604, 702: Answer classification module

102, 605, 703: Learning Diagnostics Module

103, 606, 704: module for providing diagnosis results

104, 607: Graphic processing module

200: display device 300: scanner

400: Member Computer 500: Internet

600: Web server 601: Learning Diagnostic DB

602: Member DB 603: Learning DB

700: storage medium 701: learning diagnosis

Claims (9)

In the real-time learning diagnostic method that provides services for real-time learning diagnosis and learning to members who want to learn on the Internet, Applying the selection of the classification questions 1 to 5 for each question in the language domain diagnosis evaluation classification table to the correct answer and the wrong answer (S10); (S20) obtaining a DB table by connecting the correct answers and the incorrect answers of questions 1 to n with the items of the language domain diagnosis evaluation classification table; Applying the learning diagnosis acquired through the production of the learning diagnosis sheet to the offline learning diagnosis, storage medium, and the Internet (S30); Comparing the correct answer of the learning diagnosis with the DB table and outputting the result of the score grade and the difficulty display and the performance as a result of the fitting (S40); Comparing the score grades of the step S40 (S50); Operating the secondary diagnostic program in the case of the grade after the evaluation (S60); Comparing the result of the correct answer and the wrong answer solved by the learner with the DB table (S70); Calculating the result of the comparison with the DB table for each item, major classification, and classification area (S80); Evaluating through the graphic processing according to the evaluation of mathematics ability, the evaluation of each item, and the classification according to the classification and classification using the member diagnosis result value according to the problem solving (S90); Real-time learning diagnosis control method comprising the step (S100) of providing a customized problem service according to the final result of the learning diagnosis for each classification area through the correct score and correct answer and wrong answer. The method according to claim 1, wherein the learning problem is applied to the correct answer and the wrong answer by the selection of the classification 1 to the category 5 for each question in the language domain diagnosis evaluation classification table (S10), and the correct answer and the incorrect answer up to the number of questions 1 to n Acquiring the DB table by connecting the items of the area diagnosis evaluation classification table (S20) constructs a DB table by means of a language area diagnosis evaluation classification table which is a standard for subdividing the language areas sequentially and classifying members into major and classification areas. Real time learning diagnostic control method characterized in that. The method according to claim 2, wherein the DB table learns the correct answer and the wrong answer by means of a language domain diagnosis evaluation classification table. The method as claimed in claim 1, further comprising the step of evaluating through the graphic processing according to the evaluation of mathematics ability, the evaluation of each item, and the classification according to the classification and classification using the member diagnosis result value according to the problem solving (S90), the correct score and the correct answer and In the step S100 of providing a customized problem service according to a learning diagnosis for each classification area through an incorrect answer (S100), in order to provide a learning method instruction and a customized learning problem to a member, the grades of each area and classification are grades 1 to n in advance. Real-time Learning Diagnosis, which is assigned to each member's answer area, classification, and grades 1 to n grades compared to the above specified grades to provide members with learning method instructions and customized learning problems for each grade. Control method.       The method of claim 1, wherein the step of comparing the correct answer and the wrong answer result solved by the learner with the DB table (S60), and the step of diagnosing the result value compared with the DB table for each item, classification items (S70), problems Evaluating the results according to the evaluation and classification of items based on the mathematical ability evaluation and item by using the result of the member diagnosis according to the solution (S80), and evaluating and evaluating the ability by the question and the ability by using the member diagnosis result according to the problem solving. The step of evaluating through graphic processing according to the classification and classification area (S90) is a graphic, numerical value, a diagram of the learning diagnosis results of the manual explaining the scoring status, difficulty, scores classified into sub-categories, and weaknesses by category. Real-time learning diagnostic control method characterized in that it is provided in the form of a display monitor and presentation through the Internet as a means of the manual. Answer classification module 101 for classifying correct and incorrect answers through comparison of correct answers and incorrect answers set through a scanner, and learning diagnosis for outputting the correct and incorrect answers for each item output from the answer classification module 101 by comparing them with a DB table. Module 102, diagnostic result providing module 103 for outputting scores for each item compared to the DB table provided by the learning diagnosis module 102, scores for each item, difficulty and classification, graphs, numerical values, A computer 100 comprising a graphics processing module 104 represented by diagrams and instructions; A display device 200 expressing a learning process on a monitor; Real-time learning diagnosis system, characterized in that consisting of the scanner 300 to read and store the answer image.       The method of claim 6, wherein the answer classification module 101, the learning diagnosis module 102, the diagnosis result providing module 103, and the graphic processing module 104 are stored in a web server on the Internet, and thus the learning diagnosis DB 601. And a member DB 602 and a learning problem DB 603, which are bound to the learning diagnosis system.      The method of claim 6, wherein the answer classification module 101, the learning diagnosis module 102, the diagnosis result providing module 103, and the graphic processing module 104 store a learning diagnosis on a storage medium to perform learning diagnosis. Real-time learning diagnosis system.      The method of claim 6, wherein the diagnosis result providing module 103 calculates a score obtained by multiplying the correct answer for each item of the DB table by the classification of the correct answer and the wrong answer and the degree of difficulty for each classification and classification area and provides the result to the graphic processing module. Real time learning diagnosis system.