Open learner models in supporting self-regulated learning in higher education: A systematic literature review
Open learner models in supporting self-regulated learning in higher education: A systematic literature review
复制标题
支持高等教育中自我调节学习的开放学习者模型：系统文献综述
DOI：
10.1016/j.compedu.2020.103878
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Minhong Wang
中科院分区：
文献类型：
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作者：
Danial Hooshyar;M. Pedaste;K. Saks;Ä. Leijen;Emanuele Bardone;Minhong Wang
开放式学习者模型(OLM)以不同的方式代表学习者的知识或技能水平，鼓励学习者积极参与思考和创造自己的学习。尽管OLM在高等教育中扮演着支持学习过程的重要角色，特别是自我调节学习(SRL)，但很少有研究系统地回顾OLM技术在高等教育中的应用，并探讨其促进自我调节学习的潜力。因此，我们对30年来的高等教育中的OLM研究进行了系统的回顾，并确定了的文章，这些文章研究了OLM在支持SRL中的使用。我们的研究结果表明，学习记忆主要用于支持学习者的认知，元认知和动机的使用较少，但很少提供情感支持。最受支持的阶段是评估和绩效阶段；学习准备工作不那么经常由OMS来加强。虽然学习者可以通过高级方式编辑或协商他们的学习模型，但简单、可检查的OLM更受欢迎。在OLM的建模技术中，对不可观测节点的依赖不那么受欢迎，因为这种方法高度依赖专家的创作，从而耗费时间和成本。对比和颜色编码是OLMS中最常用的两个特征，比较特征常被用来提高学习者的参与度和学习动机。
The open learner model (OLM) represents the knowledge or skill levels of learners in various ways, encouraging learners to actively participate in thinking about and crafting their own learning. Despite the important roles that OLMs play in higher education to support the learning process and self-regulated learning (SRL) in particular, there are few studies systematically reviewing OLM technology in higher education, and investigating their potential to foster self-regulated learning. Therefore, we carried out a systematic review of a 30-year sample of OLM studies in higher education and identified 64 articles that study the use of OLMs in supporting SRL. Our findings show that OLMs have been mainly used to support learners' cognition and a bit less metacognition and motivation; however, emotional support has been rarely provided. The most supported ones are Appraisal and Performance phases; Preparation of learning is enhanced by OLMs not so often. Although learners can edit or negotiate with their learning model in advanced ways, a simple inspectable OLM is more preferred. Reliance on unobservable nodes is less favored in modeling techniques in OLMs because such methods are highly dependent on expert authoring, thereby time-intensive and costly. Comparison and color-coding are two most-used features in OLMs, where the comparison feature is often used for enhancing learners’ engagement and motivation.