| 智能化环境中基于学习分析的学习行为优化研究 |
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| 引用本文： | 张进良,魏立鹏,刘斌.智能化环境中基于学习分析的学习行为优化研究[J].远程教育杂志,2020(2):69-79. |
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| 作者姓名： | 张进良 魏立鹏 刘斌 |
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| 作者单位： | 湖南科技大学教育学院;兰州交通大学继续教育学院 |
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| 基金项目： | 湖南省自科基金面上项目“资源众筹:基于网络学习空间的数字教育资源供给与管理创新研究”(项目编号:2018JJ2142);湖南省社科基金一般项目“网络学习空间促进学生学习方式升迁的机制与策略研究”(项目编号:18YBA173);湖南省普通高等学校教学改革项目“追求卓越:‘互联网+’背景下师范生信息化能力发展的策略与机制研究”(项目编号:相教通[2016]400号413)的研究成果。 |
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| 摘 要： | 学习环境的智能化已成为主流趋势,如何合理运用学习分析技术挖掘并分析其中的学生学习行为数据,优化学生学习行为、激发其学习主动性,是在线教育领域值得关注的课题。为此,基于对学习行为文献的分析,从数据采集与存储、行为分析、反馈与提醒、智能化行为优化、智能引擎等五个方面,构建了学习行为优化模型,并将模型运用于湖南S大学《信息技术与课程整合》课程的智慧教学实践中,依托智慧教学平台获取并分析学生学习行为数据,再针对具体情景采取合理的学习行为优化措施。研究结果表明,经过这一优化,不仅有效提升了学生认知维度的学习成绩、强化了互动维度的学习互动;而且提高了时效维度的学习任务完成率、强化了参与维度的学习积极性和参与性。
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| 关 键 词： | 学习行为优化 学习分析 智慧学习 智能化学习环境 优化模型 |
Research on Learning Behavior Optimization based on Learning Analysis in Intelligent Environment |
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| Zhang Jinliang,Wei Lipeng,Liu Bin.Research on Learning Behavior Optimization based on Learning Analysis in Intelligent Environment[J].Distance Education Journal,2020(2):69-79. |
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| Authors: | Zhang Jinliang Wei Lipeng Liu Bin |
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| Institution: | (School of Education,Hunan University of Science and Technology,Xiangtan Hunan 411201;College of Continuing Education,Lanzhou Jiaotong University,Lanzhou Gansu 730070) |
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| Abstract: | The intelligentization of learning environment has become the mainstream trend. How to use the learning analysis technology to mine and analyze student’s learning behavior data,optimize student’s learning behavior,and stimulate learning initiative is a topic worthy of attention in the field of online education. To this end,based on the analysis of learning behavior literature,a learning behavior optimization model was constructed from five aspects: data collection and storage,behavior analysis,feedback and caution,intelligent behavior optimization,and intelligent engine. The model was applied to the intelligent teaching practice of Hunan S University’s course,"The Integration of Information Technology and Curriculum". Student’s learning behavior data was obtained from the intelligent teaching platform. Different measures were adopted to optimize learning behavior for specific scenarios. The research results show that optimical measures can not only improve the academic records on cognitive dimension effectively and enhance learning effects on interactive dimension,but also increase task-performing efficiency on time dimension and strengthen motivation and participation on participation dimension. |
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| Keywords: | Learning Behavior Optimization Learning Analysis Intelligent Learning Intelligent Learning Environment Optimization Model |
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