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A holistic self-regulated learning model: A proposal and application in ubiquitous-learning

机译:整体自我调节学习模型:普适性学习的建议与应用

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Technology enhanced learning (TEL) represents an expert and intelligent paradigm in which technological affordances are used to facilitate learners' acquisition of domain knowledge (DK), where Ubiquitous-Learning (u-learning) is a TEL instance that recreates situated and immersive settings. However in such settings, learners are stressed by diverse, heterogeneous, and simultaneous stimuli that challenge their cognitive skills, increase the cognitive load, trigger emotional reactions, and bias conduct. Thus this research proposes a smart Sequencing approach that enables TEL systems to lead students to regulate their learning process. The essence of the proposal is a holistic self-regulated learning (SRL) model that encourage students to develop higher-order thinking through the practice of metacognitive skills, motivational factors, and behavioral affairs to become aware of their own learning endeavors. The approach was applied as part of the sequencing module of a u-Learning system, where students follow its suggested cognitive strategies to assist them during the programming of control equipment. Results show that, although experimental subjects had to deal with higher cognitive load, they are expected to reach higher learning achievements than their control peers. The experience reveals how TEL systems are enabled to foster learners to handle their own apprenticeship processes. As a consequence, the smart sequencing functionality of TEL is cognitively enhanced to facilitate students the simultaneal acquisition DK and development of higher-order thinking. (C) 2019 Elsevier Ltd. All rights reserved.
机译:技术增强学习(TEL)代表了一种专家和智能范式,其中技术能力被用来促进学习者对领域知识(DK)的获取,其中泛在学习(u-learning)是一个TEL实例,可重新创建位置和沉浸式设置。但是,在这种情况下,学习者会受到多样化,异质性和同时性的刺激,这些挑战会挑战他们的认知技能,增加认知负荷,触发情绪反应和偏见行为。因此,本研究提出了一种智能排序方法,该方法使TEL系统能够引导学生调节他们的学习过程。该提案的实质是一个整体的自我调节学习(SRL)模型,该模型鼓励学生通过元认知技能,动机因素和行为事务的练习发展高级思维,从而意识到自己的学习努力。该方法被用作u-Learning系统的排序模块的一部分,在该模块中,学生按照其建议的认知策略在控制设备编程期间提供帮助。结果表明,尽管实验对象必须应对更高的认知负荷,但与对照对象相比,他们有望获得更高的学习成绩。经验揭示了如何使用TEL系统来培养学习者处理他们自己的学徒过程。因此,TEL的智能排序功能在认知上得到了增强,以帮助学生同时获得DK和发展高阶思维。 (C)2019 Elsevier Ltd.保留所有权利。

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