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参与和投入而非肤浅和简单——在线学习中的深层次学习
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  • 英文篇名:Participation and engagement: Deep learning in online learning
  • 作者:穆肃 ; 王孝金
  • 英文作者:Su Mu;Xiaojin Wang;
  • 关键词:在线教育 ; 在线学习 ; 深层次学习 ; 在线学习中的深层次学习 ; 特点 ; 表征
  • 英文关键词:online education;;online learning;;deep learning;;deep online learning;;characteristics;;representation
  • 中文刊名:DDJY
  • 英文刊名:Distance Education in China
  • 机构:华南师范大学现代远程教育研究所;华南师范大学教育信息技术学院;
  • 出版日期:2019-01-28 11:45
  • 出版单位:中国远程教育
  • 年:2019
  • 期:No.529
  • 基金:2015年贵州省教育科学规划“利用在线开放课程促进大中小学教育教学及评价改革的研究”重大课题(课题编号:2015ZD010);; 2018年华南师范大学“挑战杯”金种子培育“促进在线学习过程中深层次学习发生的模型建构研究”课题(课题编号:18JXKA02);; 2017年度教育部人文社会科学研究青年基金项目“基于双向交互机制的自适应学习系统关键技术研究”(项目编号:17YJC880098)的阶段性成果
  • 语种:中文;
  • 页:DDJY201902004
  • 页数:11
  • CN:02
  • ISSN:11-4089/G4
  • 分类号:21-29+96-97
摘要
深层次学习一直是教学研究领域广为关注的问题,于在线学习的境脉下展现出了新的内涵和特点。但从文献回顾情况来看,国内外对在线学习中深层次学习的内涵并未形成统一的理解,也缺少清晰、系统的概念界定和特点分析框架,未能有效引导在线学习中深层次学习的实践。基于这一现状,本研究通过分析国内外深层次学习及在线学习中深层次学习的相关文献,对在线学习中的深层次学习进行了界定,建构了在线学习中深层次学习的特点及表征框架。基于文献研究,得出以下研究结论:(1)对深层次学习的界定有学习方式说、学习途径说、学习目标说、学习过程说、能力说五种不同的出发点,但都强调以学习者为中心,强调调动学生的高阶思维,达成高阶学习目标。(2)在线学习中的深层次学习是对常规教学的深层次学习继承上的发展,更强调学习者行为和情感上的表现。(3)在线学习中深层次学习特点分析框架由情感、行为和认知三个维度构成,据此分析框架可以梳理出在线学习中深层次学习的表现。本研究尝试为深入梳理促进在线学习中深层次学习发生的策略、设计促进深层次学习发生的学习活动以及测评深层次学习发生状况等提供研究基础。
        Deep learning has always been a hot topic in the educational research sector but displays new features in the online learning environment. Nevertheless, consensus on deep learning has yet to be reached, hence resulting in lack of a clear and systematic conceptualization and characterization framework that can be used to guide effective practice in deep online learning. Based on a literature review,this study defines deep online learning, and constructs the characteristics and representation framework of deep online learning. Three conclusions are made accordingly. First, there are five different approaches to defining deep learning, from the perspectives of learning style, learning approaches, learning objectives, learning process and abilities. These approaches all emphasize learner-centeredness, and focus on students.higher order thinking to achieve upper-level learning objectives. Second, deep online learning is an extension of conventional deep learning, paying more attention to learners.behavioral and affective performance. Third, the analytical framework for deep online learning can be elaborated from three dimensions, i.e. affection, behaviors and cognition, hence able to expound the behavioral performance of deep online learning. This study has implications for promoting strategies, designing activities and assessing performance of deep online learning.
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