Unlocking Foreign Language Enjoyment in GenAI-Assisted English Learning: A Q-Methodology Perspective from Chinese EFL Students

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 30, 2025

This study employs Q methodology to investigate Chinese EFL students' foreign language enjoyment in GenAI-assisted English learning environments. Through Q-sorting and follow-up written responses from university students, this research identified three distinct patterns: (1) Instrumental Support Orientation, characterized by derived GenAI's immediate assistance error correction features, but showing limited engagement with deeper processes; (2) Independent Learning Achievement, reflecting high satisfaction autonomous goal attainment efficiency while demonstrating resistance peer interaction collaborative learning; (3) Learning Feature Exploration, emphasizing through experimenting various GenAI functionalities expressing significant skepticism about outcomes anxiety reduction. These findings extend our understanding of FLE technology-enhanced revealing how learners experience different pathways interaction.

Язык: Английский

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Design language learning with artificial intelligence (AI) chatbots based on activity theory from a systematic review

Smart Learning Environments, Год журнала: 2025, Номер 12(1)

Опубликована: Март 10, 2025

Abstract Artificial Intelligence (AI) chatbots, with their ability to engage in conversations that resemble human interactions, have been increasingly applied language teaching. Most recent review studies overlook student learning outcomes and the methods achieve these chatbot-supported learning. Activity Theory (AT) offers a framework of elements functions inside an activity system accomplish desired objectives. This systematic study intends specify setting explain how various factors such as rules, tools, division labor work together enhance this environment. included 37 papers published from January 2014 2025. The findings provide two empirical contributions: four types use AT-based approaches outcomes. Additionally, practical suggestions are made: creating instructional design models for teacher-AI collaboration chatbot-assisted developing professional AI chatbots education. Furthermore, five research directions proposed: chatbot agentic outcomes, out-of-school context, human-chatbot collaborations, K-12 education setting. indicate AT assist students leaning effectively chatbots.

Язык: Английский

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The mediating effects of online learning engagement on the relationship between Chinese university students’ L2 grit and their English language achievement

System, Год журнала: 2025, Номер unknown, С. 103689 - 103689

Опубликована: Апрель 1, 2025

Язык: Английский

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The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis

Humanities and Social Sciences Communications, Год журнала: 2025, Номер 12(1)

Опубликована: Май 6, 2025

Язык: Английский

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AI-driven chatbots in second language education: A systematic review of their efficacy and pedagogical implications

Ampersand, Год журнала: 2025, Номер unknown, С. 100224 - 100224

Опубликована: Май 1, 2025

Язык: Английский

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Generative AI (GenAI) in the language classroom: A systematic review

Interactive Learning Environments, Год журнала: 2025, Номер unknown, С. 1 - 25

Опубликована: Май 22, 2025

Язык: Английский

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