摘要
移动学习研究的重点是学习资源建设与内容推荐。介绍了移动学习特点及移动学习资源、学习主体等要素,在此基础上,以高校为研究对象,采用调研方式获取大学生用户需求信息,完善相应的移动学习平台;阐述了用户行为感知、协同过滤算法等相关技术,研究了如何对移动学习资源内容进行个性化推荐。对过滤后的学习资源进行个性化推荐,有利于调动学习积极性,发挥移动学习优势,与课堂教学形成互补,对推进移动学习实践有一定的参考价值。
The construction of mobile learning resources and the recommendation of content are the key points of mobile learning. Based on the introduction of mobile learning resources, learning characteristics and main factors of mobile learning, put forward to the university as the main research object, through the investigation of the way to get students" needs of users to improve the mobile learning platform in the corresponding research~ user behavior perception and association with filter algorithm based on the technology of how to study learning resources the mobile content personalization recommendation. Through the design of learning resources and then filtered personalized recommendation, is conducive to mobilize the enthusiasm of learning, play the advantages of mobile learning, complementary with classroom teaching, the mobile learning resources construction plan for pro- moting the practice of mobile learning has a certain reference value for the future research work will be mobile learning and flip- ping the classroom to carry out the teaching practice is stage of value.
出处
《软件导刊》
2018年第3期224-226,共3页
Software Guide
基金
宁波大红鹰学院"翻转课堂"专项研究项目(4010016410)
关键词
移动学习
学习资源
行为感知
内容推荐
mobile learning
learning resources
behavior perception
content recommendation