ITS中基于纠错诊断的知识表示模型

智能教学系统是以专家系统为核心,帮助学生解决问题的教学系统。传统的辅助教学系统在测试学生学习情况时,只是简单的给学生一个分数,而没有给他们提高学习表现的机会。如果对测试结果进行分析,并提出相应的建议,将更有利于学生对各知识点的学习。文章提出了一个概念图模型,并将它应用在一个基于测试与诊断的ITS系统中,通过分析学科知识和测试结果来向学生提供学习建议,从而进一步提高学生成绩。最后,我们对该模型的性能给出了一个初步的结论。

A Knowledge Structure Model in Diagnostic ITS System

ITS are instructional systems having as a core an expert system that helps the student to solve a problem.Conventional testing systems simply give students a score,and do not give them the opportunity to learn how to improve their learning performance.If the test results could be analyzed and advice could be provided,student would benefit more.This paper proposes a conceptual map model and implement s it in a diagnostic system,which provides learning suggestions by analyzing the subject material and test results.