Expert Systems and Adaptive Procedures of the Computer Educational System Adept

Zdeňka Krišová, M. Pokorný
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引用次数: 1

Abstract

Abstract Current pedagogical research has striven to create an adaptive computer educational system which would come closest to each student’s needs and skills, and would ensure the quickest and the most effective way of acquiring the necessary knowledge in the field concerned. Modern informational technologies are fundamental which make use of unconventional methods of artificial intelligence to mechanically and abstractedly formalize mental models of experienced educators, which leads to mechanical representation of their sophisticated teaching methods and procedures. The structure of the adaptive educational system includes fuzzy expert modules which formalize mental decision-making functions of an experienced educator. Two adaptive loops execute the processes of the adjustment of study materials according to the continuous study results shown and of learning the system according to the information about the student’s modified learning procedure.
计算机教育系统专家系统与自适应程序
当前的教学研究一直在努力创造一种适应性强的计算机教育系统,以最接近每个学生的需求和技能,并确保以最快和最有效的方式获得相关领域的必要知识。现代信息技术是基础,它利用人工智能的非常规方法,机械地、抽象地形式化有经验的教育者的心理模型,从而导致他们复杂的教学方法和程序的机械表征。适应性教育系统的结构包括模糊专家模块,这些模块形式化了经验教育者的心理决策功能。两个自适应回路执行根据显示的连续学习结果调整学习材料和根据学生修改的学习过程信息学习系统的过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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