数字素养
外语
无聊
背景(考古学)
非人性化
突出
心理学
愿意交流
语言习得
计算机科学
读写能力
语言能力
社会心理学
体验式学习
性别不平等
预测能力
非正式学习
语言评估
认知心理学
理解法
混合学习
数学教育
功率(物理)
第一语言
教育技术
作者
Minlin Zou,Hayo Reinders,Faisal Amjad
出处
期刊:ReCALL
[Cambridge University Press]
日期:2025-10-14
卷期号:38 (1): 131-149
被引量:44
标识
DOI:10.1017/s0958344025100360
摘要
Abstract Generative artificial intelligence (GenAI) has been heralded by some as a transformational force in education. It is argued to have the potential to reduce inequality and democratize the learning experience, particularly in the Global South. Others warn of the dangers of techno-solutionism, dehumanization of learners, and a widening digital divide. The reality, as so often, may be more complicated than this juxtaposition suggests. In our study, we investigated the ways in which GenAI can contribute to independent language learning in the context of Pakistan. We were particularly interested in the roles of five variables that have been shown to be particularly salient in this and similar contexts: learners’ Generative Artificial Intelligence-mediated Informal Digital Learning of English (GenAI-IDLE) participation, AI Literacy, Foreign Language Enjoyment (FLE) and Foreign Language Boredom (FLB), and their second language Willingness to Communicate (L2 WTC). Employing a structural equation modelling approach, we surveyed 359 Pakistani English as a foreign language (EFL) learners to investigate their interrelationships between variables. The results demonstrate that EFL learners’ GenAI-IDLE activity directly and positively influences AI literacy and FLE. Students’ AI literacy and FLE play a chain-mediating role in the relationship between GenAI-IDLE participation and L2 WTC. However, FLB lacks predictive power over L2 WTC. We discuss the implications of these results for language learning, in particular in low-resource contexts.
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