基于智能型Agent的教学平台设计  

Design of Teaching Platform Based on Intelligence Agent

作　　者：周尤明[1] 古华茂[2] 

机构地区：[1]湖州职业技术学院物流与信息工程学院,浙江湖州313000 [2]浙江工商大学计算机与信息工程学院,浙江杭州310018

出　　处：《湖州职业技术学院学报》2017年第1期81-85,共5页Journal of Huzhou Vocational and Technological College

基　　金：2015年度全国教育信息技术研究课题"信息课程智能教学平台个性化资源管理研究"(156232397);2015年度湖州市市级科技特派员项目"本体知识库的动态;开放性研究--以街道管理突发事故应急处理领域为例"(2015KTZ21)的研究成果之一

摘　　要：目前的教学平台设计,很难针对学生和学习问题(教学任务、学习任务)的特点,对教学资源进行有效的任务适应性及个性化协同管理,基于智能型Agent平台能有效克服上述障碍。智能型Agent模型包括:通过概念分类体系、学习问题描述模式、问题解决(或者学习问题)与资源的关联、根据处方进行任务分解与教学资源开放式组合等技术,来解决任务适应性的资源精确查找问题;通过教学培训资源难易程度的严密的组织、在同类难易程度教学资源中个性化推荐来实现分类及个性化资源寻求。实例表明智能型Agent能够在资源寻求时有效地提高学习任务适应性和面向学生资源推荐时的个性需求。Currently the teaching platform design can hardly effectively perform task adaptive personalized collaborative management on teach- ing resources according to the characteristics of the students and of the studying problems. The platform based on Intelligence Agent can get rid of the above obstacles. The Intelligence Agent model consists of the problem solving of accurate resource search based on task adaptability through the use of task adaptive classified ontology system, studying problem descriptive pattern, the relevance of problem solving and re- sources, task decompositions and openness resource compositions based on recipes, and the achieving of classified, personalized resources seeking through the use of the tight organization of teaching training resources according to the difficulty level and individualized resource rec- ommendations based on cooperative filtering. The experiment case shows that the Intelligence Agent can effectively enhance the task adapta- bility in resource seeking and the individuality of recommendations for students.

关 键 词：智能AGENT 教学资源 协同管理 教学平台 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]