摘要
该文基于教学过程支撑系统,分析影响学生采用移动学习的因素,针对移动学习过程中的数据采集困难和迫切需要,采用TAM模型确定学生在使用教学过程支撑系统进行学习时,其移动学习背后的驱动因素,探索将大数据分析技术引入移动学习环境,以支持学习分析模型的构建和应用,同时发挥学习分析技术的优势,发现学生学习过程中可能存在的学习危机,并及时向其提供干预引导支持服务,以帮助其顺利完成课程学习并提高学习质量,最终提高课堂教学质量和人才培养水平,推动地方技能型高水平大学建设发展.
Based on the teaching process support system,this article analyzes the factors affecting students’adoption of mobile learning.In view of the difficulties and urgent needs of data collection in the mobile learning process,it adopts the TAM model to determine the driving factors behind students’mobile learning,explores the introduction of big data analysis technology into the mobile learning environment to support the construction and application of the learning analysis model,give play to the advantages of learning analysis technology,discover possible learning crises in the learning process of students,and provide timely support services of intervention and guidance to help them successfully complete the course study and improve the quality of learning,so as to ultimately improve the quality of classroom teaching and the level of talent training,and promote the construction and development of local skill-based high-level colleges.
作者
陶健林
王奇志
章汉贵
TAO Jianlin;WANG Qizhi;ZHANG Hangui
出处
《科教文汇》
2023年第4期I0007-I0008,共2页
Journal of Science and Education
基金
安徽省高等学校质量工程项目(2020jyxm1127)。