摘要
以学习者为研究对象,以认知差异性为中心,以学习需求为导向,采用情景感知技术,构建移动学习资源自适应推荐系统。基于该系统实现对学习者的学习历史、学习能力、学习习惯、学习环境等信息进行识别与处理,从而获知学习者的学习需求、学习兴趣与偏好,更好地为学习者动态推荐个性化的学习资源与相应的学习服务,以此满足学习者的学习需求与学习兴趣,解决学习资源负载的问题,实现个性化的移动学习。
Taking learner as the research object,taking the cognitive difference as the center and learning the demand as the guide,this paper constructs a self-adaptive recommendation system for mobile learning resources using situational awareness technology.It hopes to realize recognition and processing with the learning history,learning ability,learning habits,learning environment and other information by this system,in order to get the learning needs,learning interest and preference of learners,better for learners to dynamically recommend personalized learning resources and the corresponding learning services.In order to meet the learning needs and learning interest of learners,real solution to the problem of learning resources load,to achieve personalized mobile learning.
作者
曹伟
CAO Wei(School of information and Engineering,The Open University of Guangdong,Guangzhou 510091,China)
出处
《科技创业月刊》
2018年第10期40-42,共3页
Journal of Entrepreneurship in Science & Technology
基金
广东省教育厅重点平台及科研项目"基于模糊贝叶斯网络模型的个性化多维信息推荐系统构建研究"(2016KTSCX190)
广东省教育科学"十二五"规划教育信息技术项目"基于情景感知的移动学习服务推荐系统研究"(15JXN044)
广东省教育研究院科研课题"基于手持移动学习终端的自适应学习模式与教学策略研究"(GDJY-2015-F-b004)
广东省档案局科研项目"基于大数据的高校档案信息公共服务云平台构建研究"(YDK-133-2016)
关键词
移动学习
情景感知
资源推荐
自适应学习
mobile learning
situational awareness
resource recommendation
adaptive learning
