體驗區
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| 篇名 |
计算教育学：研究动态与应用场景
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| 並列篇名 |
Computational Education: Research Trends and Application Scenarios
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| 作者 |
王晶莹(WANG Jingying)
、张永和(ZHANG Yonghe)
、宋倩茹(SONG Qianru)
、马勇军(MA Yongjun)
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| 中文摘要 |
大数据时代，计算机、互联网和人工智能等新兴科技手段催生了计算教育学。为进一步明确其研究动态与应用场景，本文首先立足于范式生成背景和发展内涵透视，将计算教育学分为基于数据挖掘的教育学规律研究、认知与行为模拟的在线教育研究、基于大数据的学生学习动机和情感参与研究、师生人格和性别分析研究四大主题。其次，利用技术与场景共现及多维分析，深度透视计算教育学的算法和算力实践，揭示计算教育学与实践融合创新的七个重要应用场景，即教学环境设计、医学教育辅助、工程教育、师生人格品质研究、师生课堂互动与学生学习分析、个性化评价以及教育政策改革。研究发现，计算教育学拓宽了传统教育领域的研究视角，“计算＋教育”丰富了教育研究的算法与算力。最后，在洞察研究主题和应用场景的基础上，文章运用TFIDF数据挖掘和循证路径解构计算教育学的纵向研究趋势，展望计算教育学的发展前景及其所面临的范式挑战。
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| 英文摘要 |
In the era of big data, new technologies, such as computers, the Internet, artificial intelligence, gave birth to computational education. In order to clarify the research trends and application scenarios of computational education, this paper first explored its research trends and educational changes based on the background of paradigm generation and the perspective of development connotation, and then used social network analysis to reveal the context and category. The research of computational education could be divided into four research topics: data-mining based pedagogy, cognitive and behavioral simulation-based online education, big-data-based students’ learning motivation and emotional participation, and the analysis of teachers’ and students’ personality and gender. Secondly, by using the co-occurrence and multi-dimensional analysis of technology and scene, the algorithm and computing power practice of computational education can be investigated, and then the seven critical application scenarios of the integration and innovation of computational education and practice can be revealed, namely, the design of teaching environment, the assistance of medical education, engineering education, the research on the personality quality of teachers and students, the classroom interaction between teachers and students, the analysis of students’ learning, the personalized evaluation and the education policy reform. This paper further found that computational education broadens the perspective of traditional education, provides educational research results based on high-level evidence, and “computing” + “education” enriches the algorithm and computational power of educational research. Finally, based on insight into research topics and application scenarios, TFIDF data mining and the evidence-based path were used to deconstruct the vertical research trend of computational education and predict the development prospects and paradigm challenges of computational education.
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| 頁次 |
059-066
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| 關鍵詞 |
计算教育学
、全球视域
、数据挖掘
、应用场景
、computational education
、global perspective
、data mining
、application scenarios
、CSSCI
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| 卷期 |
26:4
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| 日期 |
202008
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| 刊名 |
開放教育研究
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| 出版單位 |
上海遠程教育集團、上海電視大學
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| DOI |
10.13966/j.cnki.kfjyyj.2020.04.007
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