基于遗传算法的移动学习路径生成机制研究——以博物馆参观学习为例  

Research of Mobile Learning Path Generative Mechanism Based on Genetic Algorithm ——Take Museum Visiting Learning as an Example

作　　者：李浩君[1] 崔晨萍 徐佳程 项静[1] 华燕燕[1] 

机构地区：[1]浙江工业大学教育科学与技术学院,浙江杭州310023

出　　处：《现代教育技术》2015年第8期100-106,共7页Modern Educational Technology

基　　金：教育部人文社会科学研究青年基金项目"m CSCL环境下情景感知性异质学习伙伴生成机制研究"(项目编号:12YJCZH103);浙江省教科规划重点研究项目"基于语义网技术的情境感知移动学习系统设计及实证研究"(项目编号:SB116)的阶段性研究成果

摘　　要：移动学习环境下海量无序的信息资源,对学习者学习资源的选择以及学习活动的开展造成了极大干扰。文章综合考虑移动学习环境下的学习情景、学习者个性特征等多种因素,将遗传算法应用于移动学习路径研究,并结合博物馆参观学习的应用案例,探索移动学习路径的生成机制,根据移动学习情景生成个性化学习路径。该研究能为学习者推荐符合其学习需求和情景特征的学习资源序列,使学习者取得更好的学习效果。The massive disorder information resources in mobile learning environment may interfere the learners to choose resources and carry out learning activity. In this paper, this research synthetically considers the mobile learning situation and characteristics of learners under mobile learning environment, and then take genetic algorithm into the mobile learning path study in order to explore the generative mechanism of mobile learning path on the basis of museum visiting learning case. The purpose of this research is that personalized mobile learning path can be generated based on mobile learning situation, learning resources which are satisfied with learner＇s learning need and situation are recommend, and better learning effect is got by learners.

关 键 词：移动学习 学习情景 学习路径 遗传算法 

分 类 号：G40-057[文化科学—教育学原理]