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Introduction paper special issue computers in human behavior multidisciplinary innovations and technologies for facilitation of self-regulated learning

机译:简介论文在人类行为多学科创新和技术中促进自我调节学习的专题计算机

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摘要

Technology-enhanced learning environments provide ample opportunities for learners to self-regulate their learning processes and activities for achieving the intended learning outcomes in various disciplines from soft to hard sciences and from humanities to the natural and social sciences. This special issue discusses the emerging technological advancements and cutting-edge research on self-regulated learning dealing with different cognitive, motivational, emotional, and social processes of learning both at the individual and group levels. Specifically, it discusses how to optimally use advanced technologies to facilitate learners' self-regulated learning for achieving their own individual learning needs and goals. In this special issue, seven researchers/research teams from the fields of collaborative learning, computational thinking, educational psychology, and learning analytics presented contributions to self-regulated learning with the goal of stimulating cross-border discussion in the field.
机译:技术增强的学习环境为学习者提供了充分的机会来自我调节他们的学习过程和活动,以实现从软科学到硬科学,从人文科学到自然科学和社会科学的各个学科的预期学习成果。本期专刊讨论了自我调节学习的新兴技术进步和前沿研究,这些研究涉及个人和团体各级不同的认知,动机,情感和社会学习过程。具体来说,它讨论了如何最佳地使用先进技术来促进学习者的自我调节学习,以实现他们自己的个人学习需求和目标。在本期特刊中,来自协作学习,计算思维,教育心理学和学习分析领域的七个研究人员/研究团队为自我调节学习做出了贡献,旨在激发该领域的跨界讨论。

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  • 来源
    《Computers in Human Behavior》 |2019年第11期|295-297|共3页
  • 作者单位

    Wageningen Univ & Res Wageningen Netherlands|Univ Oulu Oulu Finland;

    Univ Oulu Oulu Finland;

    Univ Oulu Oulu Finland|Open Univ Netherlands Heerlen Netherlands;

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  • 正文语种 eng
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