摘要
传统的智能授导系统研究方法是以学习者个体数据作为决策依据,以基于规则的推理作为推理方法,这样的系统面临着学习者个体数据不易测定、决策规则难以描述、系统无法自我完善三条困境。基于案例的推理方法恰好规避了规则获取和描述的困难,结合群体数据和个体数据作为推理依据,实现了自我完善的推理智能。作为智能授导系统新的研究方法,基于案例的推理具有广阔的应用前景。
An intelligent tutoring system is an adaptive learning support system in which the computer plays the role of the teacher providing individualized teaching,satisfying different needs of different learners.A traditional intelligent tutoring system is based upon the learner's individual data with rule-based reference method,hence,there exist three difficulties:uncertain individual data,indescribable decision making principles and lack of self perfection in the system.Based on analysis of the problems of the traditional system,the author puts forward the case-based reasoning method.In this method,similarities of new problems and previous cases are compared,and solutions,adapted or not,to the previous cases are administered to the new problems,hence,the new solutions.And the new cases and solutions are added to the database for future reference.This method offers counter measures to the three difficulties in a traditional tutoring system.
出处
《中国远程教育》
北大核心
2010年第19期27-30,共4页
Chinese Journal of Distance Education
基金
教育部人文社科规划基金项目“学习科学视域下的问题解决学习设计研究”(批准号:09YJA880119)成果之一
