Academic vocabulary knowledge, essential for comprehension and communication, can directly impact the academic experiences of both native and non-native English speakers across educational levels. However, learners of English as a Second or Foreign Language (ESL/EFL) often struggle to acquire this vocabulary, leading to their academic word knowledge frequently falling short of the curriculum targets and functional benchmarks necessary for academic achievement. With the rapid advancement and widespread adoption of technologies for mobile-assisted language learning (MALL), researchers and educators have increasingly focused on how word lists can enhance academic vocabulary learning (AVL). This encyclopaedia entry begins by examining the importance of academic vocabulary, defining key concepts, such as academic word lists, and demonstrating the need to enhance AVL through MALL. It then outlines the role of MALL in AVL and discusses the factors that have been investigated in relation to learning outcomes. The entry concludes by summarizing key findings and indicating future directions for the development and use of MALL applications in AVL.

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Using Academic Word Lists in MALL

  • Edsoulla Chung

摘要

Academic vocabulary knowledge, essential for comprehension and communication, can directly impact the academic experiences of both native and non-native English speakers across educational levels. However, learners of English as a Second or Foreign Language (ESL/EFL) often struggle to acquire this vocabulary, leading to their academic word knowledge frequently falling short of the curriculum targets and functional benchmarks necessary for academic achievement. With the rapid advancement and widespread adoption of technologies for mobile-assisted language learning (MALL), researchers and educators have increasingly focused on how word lists can enhance academic vocabulary learning (AVL). This encyclopaedia entry begins by examining the importance of academic vocabulary, defining key concepts, such as academic word lists, and demonstrating the need to enhance AVL through MALL. It then outlines the role of MALL in AVL and discusses the factors that have been investigated in relation to learning outcomes. The entry concludes by summarizing key findings and indicating future directions for the development and use of MALL applications in AVL.