A framework for self-regulated digital learning (SRDL)

研究成果: 雜誌貢獻文章

4 引文 斯高帕斯(Scopus)

摘要

This article develops a framework for self-regulated digital learning, which supports for self-regulated learning (SRL) in e-learning systems. The framework emphasizes 8 features: learning plan, records/e-portfolio and sharing, evaluation, human feedback, machine feedback, visualization of goals/procedures/concepts, scaffolding, and agents. Each feature facilitates or supports one or more SRL skills, including planning, monitoring and evaluating learning, applying appropriate cognitive strategies, and setting standards of products or performance. The implementation in domain-general and -specific systems as illustrated by web-based inquiry and problem-solving are discussed. Examples and learning effects are elicited from the literature to demonstrate various designs. Approaches for designing SRL systems, educational implications, and new directions for future research incorporating SRL into digital learning are presented.

原文英語
頁(從 - 到)580-589
頁數10
期刊Journal of Computer Assisted Learning
34
發行號5
DOIs
出版狀態已發佈 - 2018 十月 1

ASJC Scopus subject areas

  • Education
  • Computer Science Applications

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