Hand-held study diagnosis and analysis device

Abstract

The invention relates to an electronic study diagnosis and analysis device, in particular to a hand-held study analysis and diagnosis device, which analyzes the study of a user according to intelligent tests in combination with scientific methods for learning science subjects, such as mathematics, physics, chemistry and the like, and microcomputer technology, issues diagnosis reports on knowledge structures and capacity in taking examinations and can enable the user to repeatedly study parts the user does not master. The hand-held study diagnosis and analysis device consists of a shell, a central processor, a microprocessor unit, a display driving unit, a touch liquid crystal display screen, an I / A interface, a language processing unit, a sound producing device, a program memory, a master control program, an interface program, an examination paper marking program, a data management program, a knowledge structure and capacity level evaluation program, a personalized training mode program, an information evaluation program, a timing program, an input unit, a power processing unit, a data memory, a test question database, a test question-associated database, a knowledge base, a knowledge point conceptual base, a knowledge structure base, an intelligent remark base and a personalized database.

Description

technical field [0001] The invention relates to an electronic device for learning diagnosis and analysis, in particular to a scientific method for learning mathematics, physics, chemistry and other science subjects and microcomputer technology. Ability diagnosis report, and a hand-held learning analysis and diagnosis device that can be used for repeated learning on what is not mastered. Background technique [0002] At present, learning devices on the market are mixed, and most of them have the following shortcomings in the product design and learning process: [0003] (1) The original knowledge structure, level and learning ability of learners are uneven, and the lack of teacher resources makes it impossible for teachers to adjust the progress and content of teaching according to the individual differences of learners and implement personalized education. Existing hand-held or palm-sized electronic learning devices are limited to teaching material versions, and the learnin...

AI Technical Summary

Problems solved by technology

[0003] (1) The original knowledge structure, level and learning ability of learners are uneven, and the lack of teacher resources makes it impossible for teachers to adjust the progress and content of teaching according to the individual differences of learners, and implement personalized education

Existing hand-held or palm-sized electronic learning devices are limited to teaching material versions, and the learning and training modes adopted are simple and mechanical. The learning content and progress are pre-set, and it is impossible to design different learning progress and content according to the user's learning situation. , or adopt a different training mode

[0004] (2) The knowledge points in the textbook are not summarized and combined according to the requirements of the examination outline and the cultivation of problem-solving ability. It is still a blind question sea tactic, listing the knowledge points in a straight line and simply stacking learning resources, so that learners have a good understanding of the overall knowledge The structure lacks a clear understanding, and no suitable data analysis method is adopted for the characteristics of the subject, which is not conducive to learners' learning of tacit knowledge

[0005] (3) The score can only be changed based on the known answers, but the user's academic performance cannot be analyzed based on the user's answers. There is no accurate evaluation of the learner's learning situation, and no record of the learning process. The mastery of the knowledge points makes the learners unaware of the status of their own learning process. It is possible that the content of the training has already been mastered, but the unmastered content has not been discovered. There are a lot of duplication of labor and waste of time. The efficiency of learning unable to improve

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