Improving Computer-Assisted Language Learning Through the Lens of Cognitive Load

A contemporary review (over a 10-year period) was conducted into studies that used computer-assisted language learning (CALL) strategies to learn a second language (L2) by considering the impact of cognitive load. Twelve affordances were identified that led to enhanced learning, namely, online annot...

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Vydané v:Educational psychology review Ročník 35; číslo 2; s. 53
Hlavní autori: Bahari, Akbar, Wu, Sumei, Ayres, Paul
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Springer US 01.06.2023
Springer
Springer Nature B.V
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ISSN:1040-726X, 1573-336X
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Shrnutí:A contemporary review (over a 10-year period) was conducted into studies that used computer-assisted language learning (CALL) strategies to learn a second language (L2) by considering the impact of cognitive load. Twelve affordances were identified that led to enhanced learning, namely, online annotations and glosses, captioning, digital game-based language learning, videoconferencing and video feedback, visualization-based learning approaches, online instructional content and features, online machine translation tools, online interactive collaborative learning, (meta)cognitive learning strategies argument mapping, computer-mediated dictionary assisted learning, and multiple display screens. Associated with these affordances were a number of conditions and learner characteristics that modified the effectiveness of the affordances such as L2 proficiency. Most learning strategies were used to reduce cognitive load, although a limited number fostered germane cognitive load through generative learning practices. A number of issues associated with measuring cognitive load, multimedia learning, and research designs are also discussed.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1040-726X
1573-336X
DOI:10.1007/s10648-023-09764-y