Challenges and Affordances of Cognitive Load Management in Technology-Assisted Language Learning: A Systematic Review

INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION(2023)

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摘要
Cognitive load influences learners' interactions with one another and with the learning environment could lead to either optimizing or obstructing information processing in the working memory. To have insight into cognitive load management in technology-assisted language learning (TALL(1)) environment, the investigator(s) conducted a systematic review. Following the PRISMA guidelines, the study identified TALL affordances, challenges, measurements, and theoretical frameworks in articles between 2010 and 2020. Pedagogically, the results showed eighteen potential affordances (e.g., visualization-based cognitive tool and dual computer displays) in TALL environment that teachers/learners can implement to manage cognitive load. Theoretically, the study found seven challenges (e.g., balancing task difficulty with learner's cognitive skills and modifying established design principles) that can inform researchers and practitioners in future TALL research. Future TALL research on cognitive load is predicted to move towards two mainstream directions. First, conceptualizing the reported affordances into instructional designs to manage cognitive load. Second, addressing the reported challenges through integrating emerging educational technologies to manage cognitive load.
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