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2024, 12, No.455 1-7
知识图谱赋能高校课程“教-学-评”一体化的探究
基金项目(Foundation): 2022年度国家社科基金教育学重点项目“智能技术赋能教育评价改革研究”(项目编号:ACA220026); 2023年度广东省本科高校教学质量与教学改革工程建设项目“知识图谱赋能课程数字化建设与场景化应用研究”研究成果
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摘要:

随着教育数字化的持续推进,如何以教、学、评三环融通支撑五育融合,重塑育人范式,培养适应社会发展的创新型人才,成为当前高校亟需解决的关键问题。知识图谱是一种结构化的语义知识库,对于推动高校课程数字化建设与创新应用具有强大的功能作用。研究针对高校课程“教-学-评”一体化内涵意义不清、理论逻辑不明、技术支持错位等问题,以课程与教学理论、场景理论等为指导,采用文献研究、理论演绎等方法,开展知识图谱赋能高校课程教学改革的相关研究:首先,结合高校课程改革的发展需要,明晰了高校课程“教-学-评”一体化的内涵意义;接着,根据“教-学-评”一体化的价值旨归,提出了高校课程“教-学-评”一体化的过程逻辑;最后,分析知识图谱的赋能作用,构建了知识图谱赋能高校课程“教-学-评”一体化的框架,并面向人机协同交互学习、自适应自主学习、数实融合探究学习等典型场景,分别提出了知识图谱赋能高校课程“教-学-评”一体化的实施理路。

Abstract:

With the continuous promotion of the education digitization, how to support the integration of Five Education with the integration of teaching, learning and evaluation, reshape the digital education paradigm and cultivate innovative talents adapted to social development has become a key issue that colleges urgently need to solve. Knowledge graph is a kind of structured semantic knowledge base, which plays a powerful role in promoting the digital construction and innovative application of college courses. Aiming at the problems of unclear connotation, confused theoretical logic, and misplaced technical support of the integration of “teaching-learning-evaluating” in college courses, guided by curriculum and teaching theory, scenario theory,etc., the research adopts methods such as literature research and theoretical deduction, and conducts relevant research on knowledge graph empowering the teaching reform of college courses. Firstly, combined with the development needs of college courses reform, the research clarified the connotation of the integration of “teaching-learning-evaluating”of college courses. Then, according to the value of the integration of “teaching-learning-evaluating”, the research proposed the process logic of the integration of “teaching-learning-evaluating” of college courses. Finally, the research analyzed the empowering function of knowledge graph, constructed a D-KG-AI framework where knowledge graphs empower the integration of “teaching-learning-evaluating” of college courses. Facing the typical scenarios such as human-machine collaborative interactive learning, adaptive autonomous learning and digitalreality integrated inquiry learning, the research put forward the implementation path of knowledge graph empowering the integration of “teaching-learning-evaluating” of college courses.

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基本信息:

DOI:

中图分类号:G642.3;G434

引用信息:

[1]谢幼如,陆怡,彭志扬等.知识图谱赋能高校课程“教-学-评”一体化的探究[J].中国电化教育,2024,No.455(12):1-7.

基金信息:

2022年度国家社科基金教育学重点项目“智能技术赋能教育评价改革研究”(项目编号:ACA220026); 2023年度广东省本科高校教学质量与教学改革工程建设项目“知识图谱赋能课程数字化建设与场景化应用研究”研究成果

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