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作 者:沈霞娟 张宝辉[2] 张浩[1] SHEN Xia-juan;ZHANG Bao-hui;ZHANG Hao(Journalism and Media College,Yangzhou University,Yangzhou,Jiangsu,China 225009;School of Education,Shaanxi Normal University,Xi’an,Shaanxi,China 710062)
机构地区:[1]扬州大学新闻与传媒学院,江苏扬州225009 [2]陕西师范大学教育学部,陕西西安710062
出 处:《现代教育技术》2022年第8期50-58,共9页Modern Educational Technology
基 金:全国教育规划课题“碎片化阅读学习行为及认知深度提升研究”(项目编号:BCA170084);江苏省社科基金项目“‘双减’背景下江苏中学生的深度学习能力评价与培养研究”(项目编号:22JYB006);扬州大学教学改革研究课题“运用思维导图促进大学生深度学习的实践研究”(项目编号:YZUJX2021-C5)资助。
摘 要:在教育高质量发展的时代背景下,混合学习虽备受关注,但依然存在浅层低效的现实问题。为充分发挥混合学习的潜在优势,文章引入深度学习理论,构建了系统完善的深度混合学习设计模型,并以“教育文献检索与分析”课程为例开展实证研究,验证了模型的应用效果。研究发现:从学习结果来看,学生对课程知识掌握良好,深度学习能力显著提升,满意度较高;从学习过程来看,高水平的行为、认知和情感投入是实现深度学习的重要内因,“以学生为中心”的课堂结构、面向高阶认知的问题环境和技术支持的高效交互是促进深度学习的关键外因。文章旨在为优化混合学习的设计提供方法指导,并对推进深度学习的落地实施具有重要意义。Under the time background of the high-quality development of education,although blended learning has attracted much attention,there are practical problems of superficial inefficiency.In order to give full play to the potential advantages of blended learning,this paper introduced deep learning theory,constructed a systematic and complete design model of deep blended learning,and carried out an empirical study by taking the“educational literature retrieval and analysis”course as an example to verify the application effect of the model.It was found that from the aspect of learning results students had a good grasp of curriculum knowledge,and their deep learning abilities were significantly improved and their satisfactions were high.Meanwhile,from the aspect of learning process,the high-level behavior,cognition and emotional investment were the important internal factors for deep learning.In addition,“student-centered”classroom structure,problem environment oriented for high-order cognition and efficient interaction supported by technology were the key external factors of deep learning.The purpose of this paper was to provide method guidance for optimizing the design of blended learning and was of great significance to promote the implementation of deep learning.
分 类 号:G40-057[文化科学—教育学原理]
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