Unraveling Learning Motivation in AI-Mediated Learning Environments: A Systematic Review of Research (2014-2024)

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.