在线开放课程学习质量评价指标体系构建与应用 |
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作者姓名: | 成亚玲 谭爱平 |
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作者单位: | 湖南工业职业技术学院 |
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基金项目: | 湖南省哲学社科基金项目“基于学习分析的在线开放课程学习预测及干预研究”(编号:18YBG008);中央电化教育馆教育信息技术研究课题“数据挖掘与学习分析在智慧课堂中的应用研究”(编号:186140057);教育部职业院校信息化教指委课题“混合学习视域下在线开放课程学习行为数据模型研究”(编号:2018LXB0231);湖南工业职院教育教学研究项目“混合学习视域下在线开放课程学习评价指标体系构建研究”(编号:GYKYS2018004) |
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摘 要: | 在混合式教学模式基本流程、在线开放课程学习质量评价逻辑的基础上,构建了基于数据驱动的在线开放课程学习质量评价体系。评价体系从课前学情预测、课中迭代监测、课后反馈提升等维度,对影响学习质量的14个因素进行了深入挖掘分析。最后将本评价体系应用在"C语言程序设计"课程中,研究结果表明:投入度高的学习者其学习参与度越高,学习成绩越好;学习能力强的学习者其创新能力并不一定强;在线开放课程中实施混合式教学对学习者顺利完成学习目标具有重要保障作用。
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关 键 词: | 在线开放课程 混合式教学 学习质量评价 指标体系 MOOC |
The Construction and Application of Evaluation Index System for Online Open Course Learning Quality |
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Authors: | CHENG Yaling TAN Aiping |
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Institution: | (Hunan Industry Polytechnic,Hunan Changsha 410208) |
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Abstract: | Based on the basic process of hybrid teaching mode and the logic of online open course learning quality evaluation, a data-driven online open course learning quality evaluation system was constructed. The evaluation system explored and analyzed 14 factors that affect the quality of learning from the aspects of pre-class situation prediction, in-class iterative monitoring and after-class feedback enhancement. Finally, the evaluation system was applied to the "C language programming" course. The research results show that: learners with higher levels of participation are more engaged in learning;learners with strong learning ability may not have strong innovation ability;the implementation of blended teaching in online open courses plays an important role in ensuring learners to successfully complete learning objectives. |
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Keywords: | online open course blended teaching learning quality evaluation evaluation index system MOOC |
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