基于深度学习路线的混合学习课程设计——以程序设计类课程为例
Blended Learning Course Design Based on Deeper Learning Cycle—A Case Study of Programming Courses
DOI: 10.12677/ae.2025.15101881, PDF,    科研立项经费支持
作者: 方启梅：闽南科技学院计算机信息学院，福建 漳州；林卓南：莆田学院基础教育学院，福建 莆田；骆清伟：福建海思维信息科技有限公司开发部，福建 泉州
关键词: 深度学习路线(DELC模型)；混合学习；程序设计；探究社区理论框架(COI框架)；Deeper Learning Cycle (DELC)； Blended Learning； Programming； Community of Inquiry Framework (COI)
摘要: 为了探讨在混合式教学模式下基于深度学习路线(DELC模型)在程序设计类课程教学中的应用及成效，笔者主要从学生的课程学习投入状态、对提升程序设计能力的影响和学生的学习认知水平三个维度出发，结合混合学习理论–探究社区理论框架(COI框架)，重新对教学实践过程进行设计，采用非等组准实验研究其教学效果。最终的研究结果表明，实验班的学生在日常考勤、课堂讨论、课程作业、期末作品质量和学习认知水平等各个方面都有不同程度的提高。
Abstract: In order to explore the application and effectiveness of the Deeper Learning Cycle (DELC model) in the teaching of programming courses under the blended teaching mode, the author redesigned the teaching practice process mainly from three dimensions: students’ course learning engagement state, the impact on improving programming ability, and students’ learning cognitive level. Combined with the blended learning theory-Community of Inquiry Framework (COI), the author adopted non-isometric experiments to study its teaching effect. The final research results show that the students in the experimental class have improved to varying degrees in daily attendance, classroom discussions, course assignments, the quality of final works, and learning cognitive level.
文章引用：方启梅, 林卓南, 骆清伟. 基于深度学习路线的混合学习课程设计——以程序设计类课程为例[J]. 教育进展, 2025, 15(10): 640-654. https://doi.org/10.12677/ae.2025.15101881

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