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知识图谱驱动的C++课程BOPPPS+ADCD教学模式探索

Exploration of BOPPPS+ADCD teaching mode on C++ course driven by knowledge graph

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【作者】 王云艳

【Author】 Yunyan Wang;School of Electrical and Electronic Engineering,Hubei University of Technology;

【机构】 湖北工业大学电气与电子工程学院

【摘要】 针对传统教学中自主学习和迁移学习不足、高阶计算思维培养不足、评价体系动态反馈不足等问题,提出知识图谱驱动的BOPPPS+ADCD线上线下混合教学模式,以C++程序设计课程为例,阐述如何通过知识图谱引领学生自主学习,并在BOPPPS参与式教学环节融入ADCD四阶段强化高阶计算思维训练,构建“教学—评价—改进”智慧评价的动态教学闭环以实现教学动态优化,最后说明教学实践效果。

【Abstract】 Aiming at the pain points of insufficient self-learning and transfer learning, inadequate cultivation of high-order computational thinking, and insufficient dynamic feedback of evaluation system in traditional teaching, a knowledge graph driven BOPPPS+DCD online and offline hybrid teaching mode is proposed. Taking the C++ programming course as an example, this paper elaborates on how to guide students’ selflearning through knowledge graphs, and integrate ADCD four stages to strengthen high-order computational thinking training in the BOPPPS participatory teaching process. A dynamic teaching loop of "teachingevaluation-improvement" intelligent evaluation is constructed to achieve dynamic optimization of teaching. Finally, the teaching practice effect is explained.

【基金】 2024年度湖北省教育厅教研项目“基于人工智能+知识图谱的智慧教学实践与探索”(2024303);2024年湖北省新工科研究中心课程建设项目“面向对象程序设计”(XGK01056)
  • 【文献出处】 计算机教育 ,Computer Education , 编辑部邮箱 ,2026年01期
  • 【分类号】G642;TP312.1-4
  • 【下载频次】118
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