混合课程动态设计研究

发布时间：2018-05-31 02:13

本文选题：混合学习 + 学习预测　；参考：《电化教育研究》2017年07期

【摘要】：以MOOC为代表的在线课程与校园面授课程的紧密结合,形成了互联网+校园混合课程。为破解面授课程不易满足个性化发展,在线课程又面临学生低参与度和高流失率的困境,本研究提出了数据驱动混合课程动态设计理念。通过为期两年的连续教学实践发现,多元回归可以作为学生课程表现的预测模型,学生绩点、前导课成绩、在线学习参与度等是学业表现的有效预测因素。提出了动态设计的具体实践路径原则和前期诊断与补救、渗透学习方法、提早社会化和强化兴趣等教学策略,以实现校园混合课程的动态设计与有效实施。
[Abstract]:The combination of online courses represented by MOOC and face-to-face courses on campus has formed a mixed course of Internet campus. In order to solve the problem that face-to-face courses are not easy to meet the individual development and online courses are faced with the dilemma of low participation and high wastage rate, the dynamic design concept of data-driven hybrid curriculum is proposed in this study. Through the continuous teaching practice for two years, it is found that multiple regression can be used as a prediction model for students' performance, such as score points, leading class scores, online learning participation and so on, which are the effective predictors of academic performance. In order to realize the dynamic design and effective implementation of campus mixed courses, this paper puts forward the practical path principle of dynamic design, the diagnosis and remedy of the early stage, the infiltration of learning methods, the early socialization and the strengthening of interest, etc, in order to realize the dynamic design and effective implementation of the campus mixed curriculum.
【作者单位】：首都师范大学信息工程学院;首都师范大学北京成像技术高精尖中心;
【基金】：北京成像技术高精尖创新中心资助(项目编号:BAICIT-2016004)
【分类号】：G434

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