摘要
混合式学习是目前高校非常普遍的一种学习模式,学习者在线上线下学习过程中产生了大量的学习行为数据,如何利用这些数据进行更精确的学习干预,优化教学已必不可少.利用学习分析技术,结合混合学习环境下学习者的现状,构建基于学习分析的混合学习干预模型,并应用于“计算机应用能力”课程混合教学中进行应用,对该模型在学生学习行为和成绩方面进行有效性验证.结果表明该模型对学生学习行为具有积极影响并能提高成绩.
Blended learning is a very common learning mode in colleges and universities at present. A large amount of learning behavior data is generated during the online and offline learning process of learners. How to use these data for further precise learning intervention and optimizing teaching is essential. Using learning analysis technology, combined with the current situation of learners in the blended learning environment, this paper constructs a learning intervention model based on learning analysis,which is applied in the blended teaching of "computer application ability" course to verify the effectiveness of the model in students’ learning behavior and performance. The results show that the model has a positive impact on students’ learning behavior and can improve their performance.
作者
张颖
蒋雯音
艾雨兵
Zhang Ying;Jiang Wenyin;Ai Yubin(School of Health Service and Management,Ningbo College of Health Sciences,Ningbo Zhejiang 315104)
出处
《宁波广播电视大学学报》
2020年第3期81-85,共5页
Journal of Ningbo Radio & TV University
基金
2018年度全国教育信息技术研究课题“基于学习分析的在线学习干预实证研究”(课题编号:186130036)
浙江省教育规划课题“混合学习环境中学习分析干预框架的构建与应用研究”(课题编号:2020SCG104)
浙江省教育规划课题“基于“三教改革”的职业教育专业教学资源库升级改进策略研究”(课题编号:2020SCG105)。
关键词
学习干预
学习分析
混合学习
Learning intervention
Learning analysis
Blended learning
