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作 者:王洪江[1] 廖晓玲 马桂秋 叶思思 陈沛瑜 Wang Hongjiang;Liao Xiaoling;Ma Guiqiu;Ye Sisi;Chen Peiyu(School of Information Technology in Education,South China Normal University,Guangzhou,Guangdong,China 510631;Dongguan Changan Experimental Middle School,Dongguan,Guangdong,China 523840;Dongguan Automotive Technology School,Dongguan,Guangdong,China 523400)
机构地区:[1]华南师范大学教育信息技术学院,广东广州510631 [2]东莞市长安实验中学,广东东莞523840 [3]东莞市汽车技术学校,广东东莞523400
出 处:《数字教育》2025年第1期17-22,共6页Digital Education
基 金:2023年度广东省哲学社会科学规划学科共建项目(GD23XJY56);2023年度广东省教育科学规划课题(高等教育专项)(2023GXJK270)。
摘 要:教育领域的深度学习提倡学习者对知识的主动获取、积极建构和创新应用,实现高阶知识和能力的发展、迁移和生成。倡导深度学习已成为时代的必然选择。为厘清国内外深度学习的研究进展,文章选取中国知网和Web of Science两大数据库中相关的92篇文献进行系统性分析,对深度学习的定义内涵、影响因素、促进策略和评价方式进行了梳理。结果表明:在定义内涵方面,当下深度学习的定义尚未统一,不同定义中的关键词大多包含主动参与、知识建构、高阶发展、创新迁移等;在影响因素方面,个体因素主要包括学生的自我效能感、学习动机、学习兴趣、学习投入等,行为因素主要包括师生交互、生生交互等教学交互行为,环境因素主要关注在线环境的交互性和工具性;在促进策略方面,现有研究主要总结归纳了促进深度学习的现有教学模式和教学策略,但部分研究仅提出教学模式和策略,未进行基于真实教学的效果实证;在评价方式方面,分为过程取向与结果取向两方面,其中问卷调查法采用最为频繁。这为后续研究者和一线教学实践者有效实施深度学习提供了参考与借鉴。Deep learning in the fi eld of education advocates for learners to actively acquire,construct and creatively apply knowledge,and achieve the development,transfer,and generation of higher-order cognitive abilities.Advocating for deep learning has become an inevitable choice of the times.In order to clarify the research progress of deep learning at home and abroad,this article selects 92 relevant literatures from the two major databases of CNKI and WoS for a systematic review,and sorts out the defi nition,connotation,infl uencing factors,promotion strategies,and evaluation methods of deep learning.The results show that in terms of definition and connotation,the versions are diversified at present,and the key words in different definitions mostly include active participation,knowledge construction,higher-order development,and innovative transfer;In terms of influencing factors,this study summarizes and analyzes from three aspects,namely,individual factors,behavioral factors,and environmental factors;In terms of promotion strategies,existing teaching models and strategies that promote deep learning are summarized,but some studies only propose teaching models and strategies without conducting empirical research based on real teaching eff ects;In terms of evaluation methods,it is divided into process-oriented and result-oriented types,among which the questionnaire survey method is used most frequently.This article provides a systematic review of deep learning in the fi eld of education,providing reference and guidance for subsequent researchers and frontline teaching practitioners to eff ectively implement deep learning.
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