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Zihang Guo

Chili Li

Hubei University of Technology, China

 

Abstract

This systematic review aims to identify the current situation, developmental trends, theoretical and practical insights into research on learning motivation in AI-mediated learning environments by exploring the overview and evolutionary path of research, learners’ attitudes and perceptions in AI-based learning settings, and pedagogical applications. Totally, 108 relevant peer-reviewed articles (2014-2024) were selected based on Web of Science (WoS) for further analysis. The findings show that a) an overall upward trend in research publications from 2014-2024 and the radial connections between the keywords of ‘AI’ and ‘language learning’ implies a growing emphasis on student-centered, game-based learning in virtual reality environments for language education; b) the evolutionary path of learning motivation in AI-driven contexts have evolved through three distinct periods; c) the attitudes and perceptions of learners towards AI-influenced learning are positive, with intrinsic value and continuance intention emerging as key factors; and d) in pedagogical applications, AI has made significant strides in enhancing writing skills and optimizing teaching practices. Therefore, the research on the integration of AI with learning motivation is a burgeoning field, which is of significance to theory and pedagogy in the future.

 

Keywords

learning motivation, artificial intelligence (AI), AI-mediated learning environment, systematic review, implications