TWI811026B - Autonomous digital learning assessment system and method - Google Patents

Abstract

The invention relates to an autonomous digital learning assessment system and method. It mainly divides each subject chapter into multiple knowledge points. After watching a knowledge point learning video of a knowledge point, a learner can immediately practices test questions corresponding to the knowledge point. The answer information generated after practice will be compared with the solution information and an answer rate will be obtained accordingly. According to the correct answer rate, after the learner completes the correction of a wrong answer, the learner will move on to the next knowledge point learning strategy, or repeat the test question practice strategy, or return to watch the original knowledge point learning video and repeat the test question practice strategy to get a more accurate and clear understanding of the learner’s learning disabilities, and to effectively provide learning strategies for the next step.

Description

Self-directed digital learning assessment system and method

The present invention relates to an autonomous digital learning evaluation system and method, in particular to an autonomous digital learning evaluation system and method that utilizes a digital system and a loop learning mode to improve teaching problems.

At present, the problems seen in the teaching field of the education industry can generally be divided into two parts: students and teachers, among which:

Taking the teacher as an individual analysis, the popularity of the students is weakened, and the concentration of learning is more scattered. About 70% of the students have to go through repeated drills to improve part of the effect. Some students even have no enthusiasm for learning in their mentality. It is very large, and it makes the teacher exhausted in teaching.

Taking students as individual analysis, most students don't like tutoring, but they can't effectively study independently. They don't deny that tutoring is helpful to them. The flexibility in time, the hierarchy of learning content, and the individualization of students' learning abilities are all obstacles that affect students' learning attempts.

In addition, under the teacher's established teaching progress, the differences in the learning levels of the students will cause a small number of students with excellent learning levels to accommodate most students with average learning levels, while a small number of students who are behind in learning levels will be sacrificed. It is unfair for some students with excellent learning level, most of the students with average learning level or a small number of students with low learning level.

Now, in view of the above situation, the present inventors provide a system and method for individualized and autonomous digital learning in a spiral mode, so as to improve the teaching deficiencies in the existing education industry.

In view of the above known situation, the purpose of the present invention is to provide an autonomous digital learning assessment system and method, mainly by dividing the chapters of each subject into multiple knowledge points, so that the learners' learning disabilities can be more clearly understood At the same time, after watching the teaching video, immediately feedback and verify the learning results and quantify them, and provide the learning strategy for the next step.

In order to achieve the above purpose, the autonomous digital learning evaluation system of the present invention is achieved by the following technologies:

An autonomous digital learning assessment system includes: a cloud server and at least one student-end device, the student-end device is connected to the cloud server via the Internet; wherein:

The cloud server includes a knowledge learning video library, a test paper library, an answer library, a test evaluation unit, a test question solution video library, and a learning track evaluation unit; wherein:

The knowledge learning video library cuts the topics in each chapter into multiple knowledge points, and constructs a knowledge point learning video according to each of the knowledge points. These knowledge learning videos are stored in the knowledge learning In the video library, a learning video code is given to each of the knowledge point learning videos, and each of the learning video codes includes a subject code and a knowledge point code;

The test paper database stores a plurality of test papers, each of which includes multiple test questions, and the test questions in the same test paper are constructed under the same theme of the knowledge point; and under the same theme of the knowledge point There are multiple test papers, and the test papers with the same knowledge point theme are divided into difficult, medium, and basic levels. The test questions in each test paper are further configured with different difficulty levels according to different levels; One said test paper one test paper coding, each said test paper coding system includes test paper difficulty code, subject code, knowledge point code and test paper number;

The answer library stores a plurality of answer sheets, each of the answer sheets corresponds to one of the test papers, and there is answer information on the answer sheets, and the answer information on each of the answer sheets is based on the answer The test question structure on the test paper corresponding to the volume;

The test evaluation unit includes a comparison unit for comparing the answer information of each test paper uploaded by the student terminal device with the answer information of the answer paper corresponding to each of the test papers , knowing the correct answer questions and wrong answer questions, and obtaining a correct answer rate according to the total number of questions and the total number of correct answers in each said test paper;

The question-solving video library is used to store the problem-solving video of each of the test questions, and a link image is arranged on each of the test papers adjacent to each of the test questions, and the link image is connected to the problem-solving video of the test questions A link to the problem-solving video in the library, click the link image to link and play the problem-solving video corresponding to the test question stored in the problem-solving video library of the test question, for the learners to correct when the answer is wrong ;

The learning trajectory evaluation unit records the learning process of the learner in each of the knowledge points, and at the same time, according to the correct answer rate, evaluates and grades the learner's ability as the basis for the next learning strategy;

The student terminal device has an input/output interface through which the knowledge point learning video to be learned in the knowledge point learning video library can be watched, and the test paper library can be read or downloaded. The test paper is answered by performing a test, and the answer information is generated, and the answer information is uploaded to the cloud server through the student terminal device, and the correct answer rate is obtained after being compared with the answer information.

In the autonomous digital learning assessment system as described above, each of the test papers also has a column for the number of learning times, a column for the correct answer rate, and a column for checking results; the column for the number of learning times is for the learners The number of times of the test paper for practicing one of the knowledge points; the column of the correct answer rate is the ratio of the correct answer after the learner practices the test questions on the test paper; the column of the checking result is used It is recorded that the learner passes the learning of the knowledge points, or needs to practice the test questions again, or needs to learn again.

In the autonomous digital learning assessment system as described above, wherein, the cloud server further includes a lecture notes database, and multiple lecture notes are stored in the lecture notes database, each of the lecture notes corresponds to each of the knowledge points, and the The lecture notes record the lecture codes and the subject names of the knowledge points. The lecture codes correspond to the learning video codes of the knowledge point learning videos of a knowledge point. A learning video image, clicking on the learning video image can link and play the knowledge point learning video corresponding to the handout in the knowledge learning video library 1 .

The above-mentioned autonomous digital learning evaluation system, which also includes at least one teacher-end device, the teacher-end device is connected to the cloud server, and can be obtained through the learning track evaluation unit on the cloud server. Knowing the learning history data of each of the learners, annotating the learning history data of each of the learners individually through the teacher-side device, and intervening in a timely manner to provide counseling and remedial measures according to the learning status of the learners.

The autonomous digital learning evaluation method of the present invention includes the following steps:

1) Knowledge point learning, learners connect a cloud server through a student terminal device, and select a subject knowledge point to be learned to link to the knowledge point learning video in the knowledge learning video library in the cloud server to watch, from The knowledge point learning video obtains the concept and knowledge of the knowledge point to be learned;

2) Examination paper practice, after watching the knowledge point learning video of the knowledge point to be learned, the learner is connected to the test paper corresponding to the knowledge point in a test paper library through the student terminal device to carry out The practice of the test questions, the test questions are set according to the knowledge points described in the knowledge point learning video; the learners will upload the generated answer information to the cloud server after completing the practice of the test questions;

3) Compare and calculate the correct answer rate, compare the answer information uploaded to the cloud server with a corresponding answer information, if the answer information does not match the answer information, it is judged that the answer to the test question is wrong, and vice versa Correct, and calculate the correct answer rate based on the total number of questions on the test paper and the number of correct answers;

4) Correction, when it is judged that the answer to a certain test question is wrong after comparison, the learner links to the corresponding problem-solving video to watch the problem-solving video according to the test question that answered the wrong question, and completes the correction of the test question that answered the wrong question;

5) Classify according to the correct answer rate, and set the corresponding learning stage. According to the correct answer rate, it is divided into high standard, average standard and low standard. When the correct answer rate is high standard, guide the learner to enter the next step of learning. Subject knowledge point stage; when the correct answer rate is evenly marked, guide the learner to enter another test paper practice test stage of the subject knowledge point of the current study until the correct answer rate reaches a high standard; When the correct answer rate is low, guide the learner to enter the concept re-establishment stage, re-watch the video of the subject knowledge point learned at present, and further practice with another test paper of the subject knowledge point of the present study Quiz until the correct rate reaches a high mark, forming a spiral autonomous digital learning assessment mode.

The independent digital learning evaluation method as described above, wherein the answer rate higher than 80% is set as a high standard, the answer rate between 80-60% is set as an average standard, and the answer rate is lower than 60% % is set as a low mark.

The autonomous digital learning evaluation method as described above, wherein the method further includes:

6) Teacher-side tutoring and remediation, the teacher-side device is connected to the cloud server through the teacher-side device, and enters the cloud server to know the learning status of the learner, and according to the learning status of the learner Intervene in time to give counseling and remedy.

In order to have a more complete and clear disclosure of the technical content used in the present invention, the purpose of the invention and the effects achieved, it will be described in detail below, and please also refer to the disclosed drawings and drawing numbers:

Please refer to the first picture.

The autonomous digital learning evaluation system of the present invention includes: a cloud server 100 and at least one student-end device 200, the student-end device 200 is connected to the cloud server 100 via the Internet, and can read or download Learning materials stored on the cloud server 100 or uploading learning materials to the cloud server 100; wherein:

Described cloud server 100, it comprises a knowledge learning video storehouse 1, examination paper storehouse 2, answer storehouse 3, test evaluation unit 4, examination questions and problem-solving video storehouse 5 and learning trajectory evaluation unit 6; Wherein:

Knowledge learning video library 1, which divides the topics in each subject chapter into multiple knowledge points, constructs the learning video of the knowledge point according to each knowledge point, and teaches the user the concept of the knowledge point through the learning video of the knowledge point, and These knowledge point learning videos are stored in the knowledge learning video library 1, and a learning video code is given to each knowledge point learning video, and each learning video code includes a subject code and a knowledge point code; for example, as shown in the second figure Take mathematics (math) as an example. The code of the mathematics subject is M. Chapter 1 is divided into 1-1 sections of positive and negative numbers, and 1-2 sections on addition and subtraction of numbers, and then 1-1. Positive numbers and negative numbers are divided into There are 4 knowledge points in Topic 1, the understanding of positive and negative numbers, Topic 2, the understanding and application of number lines, Topic 3, the magnitude and opposite of numbers, and Topic 4, the absolute value. Therefore, Section 1-1 Positive and Negative Numbers includes Topic 1 The understanding of positive and negative numbers, the understanding and application of number lines in topic 2, the size and opposite of numbers in topic 3, and the absolute value of topic 4. There are 4 learning videos of knowledge points. The learning video codes are M1111, M1112, M1113, M1114; 1 The addition and subtraction relationship of -2 sections is divided into 4 knowledge points: topic 1, addition of positive and negative numbers, topic 2, subtraction of positive and negative numbers, topic 3, mixed operation of addition and subtraction of positive and negative numbers, and topic 4, the distance between two points on the number line. Therefore, The addition and subtraction relationship of 1-2 numbers includes the addition of positive and negative numbers in topic 1, the subtraction of positive and negative numbers in topic 2, the mixed operation of addition and subtraction in topic 3, and the distance between two points on the number line in topic 4. 4 knowledge point learning videos , the learning video codes are M1121, M1122, M1123, M1124 respectively;

Examination paper library 2 stores multiple examination papers, each examination paper includes multiple examination questions, and the examination questions in each examination paper correspond to a knowledge point, that is, the examination questions in each examination paper are constructed under the theme of the same knowledge point; There are multiple test papers under the topic of knowledge points, and the test papers of the same knowledge point theme are further divided into difficult, medium, and basic levels, and each test paper is assigned a difficulty code according to the difficulty, medium, and basic levels. Among them, the difficulty code of the test paper is S (Super) stands for Difficult, M (Medium) stands for Medium, and B (Basic) stands for Basic; the test questions in each test paper are further arranged with different difficulty levels according to different levels; taking the aforementioned mathematics as an example, 1- Section 1 Positive and Negative Numbers includes 4 knowledge points of Topic 1: Understanding of Positive and Negative Numbers, Topic 2: Understanding and Application of Number Lines, Topic 3 Numbers and Negative Numbers, and Topic 4 Absolute Value. The knowledge points of 4) respectively construct a test paper whose difficulty codes are S, M, and B. The best situation is that each knowledge point constructs a plurality of test papers whose difficulty codes are respectively S, M, and B; in Table 1 In the embodiment of the example, in the test paper whose degree of difficulty is code-named S, there are 2 questions for difficult question types, 3 questions for medium question types, 3 questions for basic question types, and configuration in the test paper whose difficulty code is M. There are 0 questions for difficult question types, 3 questions for medium question types, 5 questions for basic question types, 0 questions for difficult question types, and 2 questions for medium question types. 1. There are 6 questions in the basic question type; these test papers are stored in the test paper storehouse 2, and each test paper is given a test paper code (refer to the third figure); wherein, each test paper code preferably includes the test paper difficulty code, subject Code, volume, chapter, section, knowledge point code, and the test paper number, for example: MM1111-2, SM2134-1, BM1123-4, the expression methods are shown in Table 2 below:

[Table I] Amount of questions per round Exam Difficulty difficulty medium basic S 2 3 3 m 0 3 5 B 0 2 6

[Table II] Exam Difficulty Code Math subject code Number of volumes chapter Festival Theme (knowledge points) Paper number m m 1 1 1 1 2 S m 2 1 3 4 1 B m 1 1 2 3 4

Answer library 3 stores a plurality of answer sheets, each answer sheet corresponds to a test paper, and there is answer information on the answer sheet, and the answer information on each answer sheet is constructed according to the test questions on the test paper corresponding to the answer sheet;

The test evaluation unit 4 includes a comparison unit 41, which is used to compare the answer information of each test paper uploaded by the student terminal device 200 with the answer information of the answer sheet corresponding to each test paper, so as to know the correct answer to the test question and answer Wrong test questions, and get a correct answer rate according to the total number of questions and the total number of correct answers in each test paper; for example: the total number of questions in a test paper is 10 questions, and the answer information and answers uploaded by the student terminal device 200 are uploaded by the comparison unit 41 After comparing the answer information of the volume, the number of correct answers is 8 questions, and the comparison unit 41 calculates the correct answer rate of 80% based on the total number of questions and the number of correct answers;

Question-solving video storehouse 5 is used to store the question-solving video of each test question, and a link image (referring to the third figure) is arranged on each test paper adjacent to each test question. A question-solving video link. After comparing the answer information with the answer information in the comparison unit 41 of the test evaluation unit 4, and knowing the wrong answer to the test question, the learner can directly click on the link image of the wrong answer test question to save it in the test question In the problem-solving video library 5, the problem-solving videos that should be answered wrongly are played and corrected for learners;

Learning trajectory evaluation unit 6, according to the correct answer rate, the learner is carried out the ability evaluation classification; Learners evaluated as advanced can enter the next knowledge point to learn and watch the knowledge point learning video of the next knowledge point; learners evaluated as re-test need to re-do the next test paper practice of the original knowledge point; Learners who are judged to re-establish concepts need to re-watch the learning video of the original knowledge point and re-do the next test paper exercise; for example, setting the correct answer rate ≧ 80% means advancement, and you can enter the next knowledge point Learning; 60% ≦ correct rate < 80% means retesting, and another test paper practice of the original knowledge point needs to be done again; correct answer rate < 60% means that the concept is re-established, and you need to go back to watch the learning video of the original knowledge point and practice the original knowledge Click another test paper to practice (as shown in Table 3). Learning trajectory evaluation unit 6 can also further record the learning record of each knowledge point of the learner to form a learning process. The learning record data includes learning time, knowledge points and correct answer rate, and calculates and records the average of the same knowledge point. The correct answer rate, and give review suggestions according to the average correct rate, such as directly entering the practice review paper, or need to practice again for a certain knowledge point, or need to learn and practice again for a certain knowledge point; The learning process formed by track evaluation unit 6 can be used as the key basis for future review of the subject review. At the same time, through the quantitative record of the learning track, students can understand the state of the knowledge point at that time and use it as a basis for review execution strategies .

[Table 3] Correct answer rate (R) Continuing Learning Status R≧80% Enter the next knowledge point and watch the knowledge point learning video of the next topic 60%≦R<80% Re-practice the original knowledge points and practice the original knowledge points in another test paper R＜60% Re-establish the concept of the original knowledge point, watch the learning video of the original knowledge point, and then practice another test paper of the original knowledge point

The student terminal device 200 is connected to the cloud server 100, and has an input/output interface 201, through the input/output interface 201, the knowledge point learning video to be learned in the knowledge point learning video library 1 can be watched in real time, and can read Take or download the test papers in the test paper bank to execute the test answer, generate an answer information according to the test answer result, upload the answer information to the cloud server 100, and compare it with the answer information to obtain the correct answer rate;

Moreover, in addition to marking the test paper number and the subject name of the knowledge point, each test paper also has a column for the number of studies, a column for the correct answer rate, and a column for the check result (see the third picture); wherein, the number of studies The column is the number of test papers for learners to practice a topic knowledge point; the correct answer column is to record the rate of correct answers after the learners practice the test questions on the test paper; the check result column is to record the learners who passed the knowledge If you have to learn a little bit, or you need to practice the test questions again, or you need to re-learn (that is, to re-establish the concept).

Please refer to Figures 1 and 4, the cloud server 100 of the above-mentioned autonomous digital learning assessment system also includes a handout database 7, which stores a plurality of handouts, each handout corresponds to a knowledge point of each topic, And record the lecture code and the topic name of the knowledge point on the handout. The code of the handout of the knowledge point of each topic corresponds to the code of the learning video of the knowledge point learning video of the knowledge point of the topic. In addition, on the page of each handout There is a learning video image on it. When you click on the learning video image, you can link and play the knowledge learning video corresponding to the handout in the knowledge learning video library 1.

When implementing the autonomous digital learning assessment system of the present invention, learners connect to the cloud server 100 via the student terminal device 200, and then directly go to the handout database 7 to select the knowledge points of the subjects, volumes, chapters, and topics to be learned. Handout, the handout can be opened online or downloaded and printed into a paper copy, and click the learning video image on the handout to play the learning video of the knowledge point, and then enter the test paper bank 2 to extract the test paper corresponding to the knowledge point of the topic, and complete the test paper The practice of the above test questions will generate answer information, and the learners will upload the answer information to the test evaluation unit 4 of the cloud server 100 through the student terminal device 200, and the test evaluation unit 4 will grab the corresponding answer from the answer library 3 and compare it with the solution information on the answer sheet. When a learner makes a mistake in answering a question, he or she needs to click on the image of the solution to the question that answered the wrong question to link to the video of the solution to the question in the answer library 3 , for the learners to correct the wrong answers. At the same time, by comparing the results and getting a correct answer rate, according to the correct answer rate, after the learner completes the correction, let the learner enter the next topic knowledge point to learn, or go to the next topic. Return to the test paper library 2 to extract another test paper corresponding to the knowledge points of the topic, and practice the test questions again, or return to the knowledge learning video library 1, replay the knowledge point learning videos corresponding to the knowledge points of the topic, and After watching the knowledge point study video, return to the test paper library 2 to extract another test paper corresponding to the knowledge point of the subject, and perform the test question practice again.

The above-mentioned autonomous digital learning evaluation system also includes at least one teacher-end device 300, which is connected to the cloud server 100, and can know each The learning history data of learners at the student end, the learning trajectory evaluation unit 6 includes a learning trajectory form 61, please refer to the sixth figure, the learning trajectory evaluation unit 6 is based on the learning subjects and volumes registered by each learner , chapters, knowledge points, learning times, dates, and learning efficiency after each study, check results to generate the learning track form 61, the physical teacher can link the learning track form 61 through the teacher terminal device 300, and learn from the learning track form 61. The learning history data recorded on the track form 61 knows the learning status of the learners, and then individually annotates the learning history data of each learner and records them on the learning track form 61, and intervenes in a timely manner according to the learning status of the learners at the student end Provide counseling and remedies; for example, on the student side, which topics the answer rate of the knowledge point test paper is higher than 80%, which topics the answer rate of the knowledge point test paper is between 80-60%, and which topics the answer rate of the knowledge point test paper is low At 60%, it is known that the learners on the student side are unclear about the knowledge point of the topic, and then intervene in counseling and remedy.

From the above description, it can be seen that the steps performed by the autonomous digital learning evaluation system of the present invention include (please refer to the fifth figure below):

1) Knowledge point learning, the learner connects the cloud server 100 through the student terminal device 200, and selects a subject knowledge point to be learned to watch from the knowledge point learning video linked to the knowledge point in the knowledge learning video library 1, from the Knowledge point learning videos to obtain the concepts and knowledge of the subject knowledge points to be learned;

2) Test paper practice. After watching the knowledge point learning video of the subject knowledge point to be learned, the learner connects to the test paper corresponding to the knowledge point in the test paper library 2 through the student terminal device 200 to practice the test questions. The test questions are According to the knowledge point proposition described in the knowledge point learning video, to test whether the learners have clearly understood and absorbed the concept and knowledge of the knowledge point explained in the knowledge point learning video; Upload to the cloud server 100;

3) Compare and calculate the correct answer rate. After the learner completes the answer, upload the answer information to the cloud server 100 and compare it with the answer information. During the comparison process, if the answer information does not match the answer information, judge the test question The learner's answer is wrong; further, the learner uploads the answer information of his answer to the test evaluation unit 4 of the cloud server 100, and the test evaluation unit 4 stores the answer information in the answer library 3 corresponding to the test paper Compare the answer information on the answer sheet to judge whether the answers to each question are correct or not, and calculate the correct answer rate based on the total number of questions on the test paper and the number of correct answers (as shown in the following formula):

Correct answer rate (R)%=(number of correct answers/total number of questions on the test paper)X100%;

4) Correction, when it is judged that the answer to a certain test question is wrong after comparison, learners can link to the corresponding problem-solving video to watch the video to complete the correction of the wrong answer;

5) Enter the corresponding learning stage according to the correct answer rate, and guide the learners to enter the corresponding learning stage according to the correct answer rate; when the correct answer rate reaches a high standard, they can enter the stage of learning the next topic knowledge point and watch the knowledge of the next topic knowledge point Click on the learning video; when the correct answer rate is average, enter the retest stage, that is, practice again on another test paper for the subject knowledge points of the current study until the correct answer rate reaches a high standard; when the correct answer rate is low, enter the concept re-establishment stage , it is necessary to re-watch the video of the subject knowledge points of the current learning, and further practice with another test paper of the subject knowledge points of the current learning until the correct answer rate reaches a high standard, forming a spiral independent digital learning evaluation method; among them, you can Set the answer rate higher than 80% as the high standard, the answer rate between 80% and 60% as the average standard, and the answer rate below 60% as the low standard.

Among other things, the method includes:

6) Tutoring and remediation at the teacher's end, the teacher's end is connected to the cloud server 100 via the teacher's end device 300, and enters the learning track evaluation unit 6, and the learning track form 61 generated by the learning track evaluation unit 6 according to the learning situation of the learner The learning process data in the teacher's end is used for annotation and learning process analysis on the teacher's end, and learns the learning status of each student's learner, and intervenes in a timely manner to provide counseling and remedies according to the learner's learning status; for example, what topics are the learners on the student end The answer rate of the knowledge point test paper is high, the answer rate of the knowledge point test paper of which topics is average, and the answer rate of the knowledge point test paper of which themes is low, so as to know which topic the learner's knowledge point concept is unclear on the student side , and then intervene in counseling and remediation.

In addition, the spiral learning method adopted by the above-mentioned independent digital learning evaluation system and method can be applied to the review of each chapter or section in addition to the knowledge point learning of a single topic as mentioned above. In addition, it can also be applied to various subjects, such as physics, chemistry, English, Chinese... and other subjects.

Through the above description, it can be seen that the digital learning mode of the present invention has the following characteristics and advantages:

1. Ability grading: The digital learning mode of the present invention can arrange the depth of learning content according to the learner's ability level.

2. Freedom of progress: In the digital learning mode of the present invention, the progress of each learner can be adjusted according to individual learning conditions without mutual influence.

3. Time flexibility: In the digital learning mode of the present invention, each learner can adjust the class period or time according to the individual learning ability.

4. Weakness focus: The test questions are classified according to the knowledge points, and the questions are assigned according to the degree of difficulty. Through the number of wrong questions and quantitative analysis, it is easy to find out the weak points of the learners.

5. Diagnosis of learning status: Through the spiral exercises and the calculation of the correct answer rate, it is possible to understand the learning status of the learners and serve as the basis for the next step of learning.

6. Learning trajectory tracking: The learning status of each knowledge point is recorded, which can be used as the basis for the plan arrangement of learners in future review.

7. Individualized review: Each learner can make corrections based on their wrong test questions at the same time, without waiting for others, and can fully grasp the learning time.

8. The learning process formed through the learning trajectory evaluation unit can be used as the key basis for future review when doing the general review of the subject. At the same time, the quantitative record of the learning trajectory can let students know the status of the unit learning at that time for review execution basis for the strategy.

The above mentioned are only part of the embodiments of the present invention, and are not intended to limit the present invention. Those made with slight changes and modifications according to the creative spirit and characteristics of the present invention should also be included in the scope of this patent.

To sum up, the embodiment of the present invention can indeed achieve the expected use effect, and the specific technical means disclosed by it have not only never been seen in similar products, nor have they been disclosed before the application. In terms of regulations and requirements, it is really convenient to file an application for a patent for invention according to the law, and ask for the review and approval of the patent.

100: Cloud server

200:Student device

300:Teacher device

1:Knowledge learning video library

2: Exam library

3: Solution library

4: Test Assessment Unit

5: Examination questions and video library

6: Learning Trajectory Evaluation Unit

61:Learning track form

7: Handout database

Figure 1: Schematic diagram of the structure of the autonomous digital learning assessment system of the present invention

The second picture: reveals that mathematics subjects are divided into multiple knowledge points according to chapters and given a schematic diagram of coding

The third picture: revealing the schematic diagram of the test paper

Figure 4: Revealing the schematic diagram of the lecture notes

Figure 5: Schematic flow chart of the autonomous digital learning evaluation method of the present invention

Figure 6: Schematic diagram of revealing the learning track form

Claims (8)

An autonomous digital learning evaluation system, which includes: a cloud server and at least one student-end device, the student-end device is connected to the cloud server via the Internet; wherein: the cloud server includes Knowledge learning video library, test paper library, answer library, test evaluation unit, test question solution video library, and learning trajectory evaluation unit; wherein: the knowledge learning video library divides the topics in each subject chapter into multiple knowledge points Construct a learning video for each knowledge point, these learning videos for knowledge points are stored in the video library for learning knowledge points, and give each learning video for knowledge points a learning video code, each The code of the learning video includes a subject code and a knowledge point code; the test paper bank stores a plurality of test papers, and each of the test papers includes a plurality of test questions, and the test questions in the same test paper are constructed on the same knowledge base. There are multiple test papers under the same theme of knowledge points, and the test papers of the same knowledge point theme are divided into difficult, medium, and basic levels, and the test questions in each test paper are further classified according to The number of questions of different difficulty levels is configured at different levels; each said test paper is given a test paper code, and each said test paper code system includes the test paper difficulty code, subject code, knowledge point code and the test paper number; said answer library, storing a plurality of answer sheets, each of the answer sheets corresponds to one of the test papers, there is answer information on the answer sheets, and the answer information on each of the answer sheets is based on the answer sheets corresponding to the answer sheets said test question construction on said test book; The test evaluation unit includes a comparison unit for comparing the answer information of each test paper uploaded by the student terminal device with the answer information of the answer paper corresponding to each of the test papers , knowing the correct answers to the test questions and the wrong answers to the test questions, and obtaining a correct answer rate according to the total number of questions and the total number of correct answers in each of the test papers; the described test question solution video library is used to store the problem solution videos of each of the described test questions, A link image is provided adjacent to each of the test questions on each of the test papers, and the link image is linked to a problem-solving video in the problem-solving video library of the test questions. The link image can link and play the problem-solving video corresponding to the question that should be answered incorrectly stored in the question-solving video library, so that the learner can make corrections; the learning track evaluation unit records all Describe the learning process of the learner in each of the knowledge points, and at the same time, perform ability evaluation and grading on the learner according to the correct answer rate. When the correct answer rate reaches the preset high standard, enter the stage of learning the next subject knowledge point , watch the learning video of the knowledge point of the next subject knowledge point; when the correct answer rate is the default average, enter the retest stage, and retest with another test paper of the subject knowledge point learned at the moment Practice until the correct answer rate reaches the preset high standard; when the correct answer rate is low, enter the concept re-establishment stage, you must re-watch the video of the topic knowledge points you are currently studying, and further use other knowledge points of the topic topics you are currently studying Re-practice the test paper until the correct answer rate reaches a preset high mark; thereby forming a spiral learning strategy; the student terminal device has an input/output interface through which the knowledge points can be viewed The learning videos of the knowledge points you want to learn in the learning video library, And can read or download the test paper in the test paper bank to execute the test answer, and generate the answer information, the answer information is uploaded to the cloud server through the student terminal device, so as to match the answer The correct answer rate is obtained after the information is compared. The independent digital learning evaluation system as described in claim item 1, wherein, each said test paper is also provided with a column for the number of studies, a column for the correct answer rate, and a column for checking results; the column for the number of studies is for all The number of times the learner practiced the test paper on the knowledge point; the column of the correct answer rate is the ratio of the correct answer after the learner practiced the test questions on the test paper; the check result column The bit is used to record that the learner has passed the learning of the knowledge points, or has to practice the test questions again, or has to learn again. The autonomous digital learning evaluation system as described in claim 2, wherein the cloud server also includes a lecture notes database, and multiple lecture notes are stored in the lecture notes database, and each of the lecture notes corresponds to each of the knowledge points , the lecture notes record the lecture codes and the subject names of the knowledge points, the lecture codes correspond to the learning video codes of the knowledge point learning videos of a knowledge point, and in each of the lecture notes A learning video image is set on the page, and clicking on the learning video image can link and play the knowledge point learning video corresponding to the handout in the knowledge learning video library. The autonomous digital learning evaluation system as described in claim 1, 2 or 3, which also includes at least one teacher-end device, the teacher-end device is connected to the cloud server, and can be accessed via the cloud server. The learning trajectory evaluation unit of each learner obtains the learning history data of each of the above-mentioned learners, and individually evaluates each of the above-mentioned learners through the above-mentioned teacher-end device Annotate the learner's learning history data, and intervene in time to give counseling and remedies according to the learner's learning situation. The autonomous digital learning evaluation system as described in Claim 1, 2 or 3, wherein, the learning trajectory evaluation unit also records the learning history of each knowledge point of the learner, and the recorded data includes the learning time , the knowledge point and the correct answer rate, and calculate and record the average correct answer rate of the same knowledge point, and give review suggestions according to the average correct answer rate. A method for evaluating autonomous digital learning, comprising the following steps: 1) knowledge point learning, learners connect a cloud server through a student terminal device, and select a subject knowledge point to be learned to link to the cloud server Watch the knowledge point learning video in the knowledge learning video library, and obtain the concept and knowledge of the knowledge point to be learned from the knowledge point learning video; After the knowledge point learning video, the learner is connected to the test paper corresponding to the knowledge point in a test paper library through the student terminal device to practice the test questions, and the test questions are based on what is described in the knowledge point learning video. The knowledge point proposition; the learner uploads the generated answer information to the cloud server after completing the practice of the test questions; there are multiple test papers under the same knowledge point theme, and the same knowledge point theme The test papers are divided into difficult, medium, and basic levels, and the test questions in each test paper are further configured with different difficulty levels according to different levels; 3) Compare and calculate the correct answer rate, compare the answer information uploaded to the cloud server with a corresponding answer information, if the answer information does not match the answer information, it is judged that the answer to the test question is wrong, and vice versa correct, and calculate the correct answer rate based on the total number of questions on the test paper and the number of correct answers; 4) Correction, when it is judged that a certain test question is incorrectly answered by comparison, the learner will be corrected based on the location of the wrong answer. Link the above test questions to the corresponding problem-solving videos to watch the problem-solving videos to complete the correction of the test questions with wrong answers; 5) Grading according to the correct answer rate, and setting the corresponding learning stage, according to the level of the correct answer rate, it is divided into high standard, high standard, Even standard and low standard, when the correct answer rate is high, guide the learner to enter the stage of learning the next topic knowledge point; when the correct answer rate is even standard, guide the learner to enter the topic of the current study The other test paper of the knowledge point is practiced in the test stage until the correct answer rate reaches a high mark; Subject knowledge point videos, and further practice the test with another test paper of the subject knowledge point learned at the moment, until the correct answer rate reaches a high standard, forming a spiral independent digital learning evaluation mode. The independent digital learning evaluation method as described in claim item 6, wherein the answer rate is higher than 80% as a high standard, and the answer rate is set as an average standard when the answer rate is between 80 and 60%. Less than 60% is set as a low standard. The autonomous digital learning evaluation method as described in Claim 6 or 7, wherein the method further includes: 6) Tutoring and remediation at the teacher's end, the teacher's end is connected to the cloud server via a teacher's end device, and enters the cloud server to learn the learning status of the learner, and timely Intervene to give counseling remedial.