Auxiliary system for computer-assisted instruction

Abstract

The invention discloses an auxiliary system for computer-assisted instruction. The auxiliary system comprises a driver, a computer, an inference engine, an explanation module, a knowledge obtaining module, a rule module, a database, a knowledge base, a multi-interface enabler and user sides. The inference engine sets up an inference model according to rule requirements provided by the rule module and selects the content, meeting the rules, in the database. A method includes the following steps that 1, a teacher selects a question type from the database through the rule module and gives questions to students; 2, the students answer the questions and feed back answers to the teacher on line, and the teacher judges learning levels of the student; 3, according to the judgment result, the teacher selects knowledge from the database through the rule module to form the knowledge base and provides the knowledge base for the students to learn. Per-capita machine-hour amount is effectively improved, individualized education on the students is fully embodied, and learning interest is increased. By adopting mode recognition, forward regular reasoning and case-based reasoning methods, new thought is provided for further application of the computer-assisted instruction field.

Description

technical field [0001] The invention relates to a computer teaching system, in particular to a computer aided teaching auxiliary system. Background technique [0002] At this stage, the teaching courseware of teachers is still mainly based on textbooks, but with the progress of the times, the amount of teaching knowledge is increasing, and simple textbooks can no longer carry it, and it is very difficult to use only text and simple two-dimensional graphics It is difficult to diagnose and explain the knowledge points learned, resulting in the failure to improve the quality of teaching. In the current computer-aided teaching system, all teaching design theories are developed around how to "teach", and rarely involve the question of how students "learn". The pursuit of intuition and vividness forgets the initiative of the students as the main body. The produced courseware has become "courseware irrigation", entering a new classroom teaching misunderstanding of "human irrigati...

AI Technical Summary

Problems solved by technology

Teachers are also affected by the courseware with stereotyped plots, and their lectures are completely around the courseware, lacking the link of teacher-student interaction

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