【作者】 李家春； 何克晶；

【Author】 Jiachun Li;Kejing He;College of Computer Science & Engineering,South China University of Technology;

【机构】 华南理工大学计算机科学与工程学院；

【摘要】 为优化混合式教学设计和资源建设,本文探究了混合式教学模式下学生学习力评价和提升策略。基于作者已建设并实施的多门计算机类课程得到的混合式教学问卷数据,研究了混合式教学中学生学习力的构成要素,设计了混合式学习力的评价模型并对各要素的相关性关系进行了分析,据此给出了学生混合式学习力的提升框架,并提出了学生学习力提升的策略。本研究将为AI赋能下的混合式教学实施提供参考路径。更多还原

【Abstract】 To optimize the design and resource construction of blended learning,the evaluation and improvement strategies of students’ learning ability are explored in the paper.Based on the questionnaire data of blended learning from multiple computer related courses that have been constructed and implemented,the constituent elements of students’ learning ability in blended learning are studied.An evaluation model for blended learning ability is designed,and the correlation between each element is analyzed.Finally the framework and strategies for improving students’ blended learning ability are proposed.And this study will provide a reference path for the implementation of blended learning empowered by AI.更多还原