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Knowledge quantitative grading and intelligent teaching method

A technology of knowledge and intelligence, applied in the quantitative method of knowledge learning and cognitive ability and the classification of learning and cognitive difficulty, can solve the problem of actual effect, no knowledge point learning, and lack of learning difficulties. Big data quantitative calculation and analysis method And other issues

Inactive Publication Date: 2019-12-03
HENAN NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

But even with one-on-one tutoring, both parties cannot quickly and effectively identify the specific reasons for a learner's learning difficulties, so the actual effect is open to question
After inquiry, there is still no quantitative method for the difficulty of learning knowledge points, and there is even a lack of big data quantitative calculation and analysis methods for the analysis of the causes of learning difficulties

Method used

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  • Knowledge quantitative grading and intelligent teaching method
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  • Knowledge quantitative grading and intelligent teaching method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] Based on the method of the present invention, the difficulty and characteristics of the test questions are analyzed, and the test questions are optimized and improved. For example, for a certain set of test questions, the distribution of the knowledge points tested on the two-dimensional map of knowledge and cognition is as follows figure 2 As shown, the distribution map can be used to check the knowledge level and cognitive level examined by the set of test questions, and to judge whether the knowledge level and ability examined by the test are comprehensive. And further based on the corresponding values ​​of Q1, Q2 and Q3, the difficulty and characteristics of the test questions are analyzed.

[0026] from image 3 It can be seen that the test questions focus on the memorization, understanding and application of the factual concepts and cognition of knowledge. The number of questions is: fact + memorization (Q3=2) × 2, concept + memorization (Q3=3) ×4, fact + under...

Embodiment 2

[0028] Analysis of a student's learning level based on the method of the present invention. Before analysing the students' learning ability, first use the questions to test the students. The selection of exam questions is for each ( i, j ) on the knowledge point for 5 topics. See test results Figure 4 . It can be seen from the results that at the knowledge level, the student has a good grasp of the facts and concepts of knowledge, but begins to be deficient when it comes to principles and laws, and there are more difficulties in the internalized cognition of knowledge; On the cognitive level, the student has good abilities in memorization, understanding and application, but has certain deficiencies in analysis and evaluation. With the improvement of the level of knowledge, the difficulty of the student's learning becomes more and more difficult with the deep level of cognitive ability.

Embodiment 3

[0030] Based on the present invention, a learner's intelligent teaching scheme is formulated. Combined with the overall student learning level analysis in Embodiment 2, a personalized teaching or learning plan can be formulated for the student, and appropriate learning content and training topics can be selected. For the students in Example 2, the learning level can be classified as the application level of the concept, but it is necessary to further strengthen the understanding and grasp of the principle, gradually consolidate the foundation, and achieve steady improvement.

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Abstract

The invention discloses a knowledge quantitative grading and intelligent teaching method. The method mainly comprises a knowledge quantification method based on knowledge depth and cognition difficulty, a knowledge difficulty and difficulty calculation and grading method based on knowledge quantification, learning difficulty feedback and difficulty feedback based on knowledge quantification, and an intelligent teaching method based on difficulty feedback and difficulty feedback. According to the method, quantitative calculation and grade determination of knowledge are realized from a knowledgelevel and a cognition level; the current knowledge learning and skill mastering degree of the learner are analyzed based on the quantification and grade of knowledge, and the reason of learning difficulty is found out; according to the learning degree and learning difficulty reasons of learners, teaching and learning methods suitable for personal characteristics are formulated, and proper learning and practicing materials are selected.

Description

technical field [0001] The invention belongs to the fields of knowledge quantification, intelligent learning and education and training, and specifically relates to a quantification method of knowledge learning and cognitive ability, learning cognitive difficulty classification, learning feedback, and intelligent learning and intelligent teaching methods. Background technique [0002] Intelligent learning based on big data will be called a boom with the development and application of big data, but the personality and characteristics of each learner have not been effectively considered in the current teaching process. It is still difficult to effectively examine the defects or deficiencies of students in the learning and application of knowledge and skills in the teaching or tutoring of teaching institutions at all levels from kindergartens, primary schools, middle schools to universities, including social tutoring institutions. Some learners have paid a lot of money and time...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N5/02G06Q50/20
CPCG06N5/027G06Q50/205
Inventor 魏慧玲马春旺梁存良
Owner HENAN NORMAL UNIV