PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
September 10, 2025International Journal of Applied Linguistics27 citations

Learners’ Acceptance and Use of Multimodal Artificial Intelligence (AI)‐Generated Content in AI‐Mediated Informal Digital Learning of English

View Full Paper
CWChenghao WangYDYiran DuBZBin Zou

Key Points

  • Perceived enjoyment influences learners' behavioral intention and ease of use in AI-mediated digital learning.
  • Analysis of survey data showed significance in perceived usefulness and enjoyment among 706 Chinese EFL learners.
  • This mixed-methods study employs thematic analysis alongside survey data to explore engagement with multimodal AI content.
  • Findings highlight the role of both intrinsic and extrinsic motivation in the adoption of AI-generated content for learning.

Abstract

ABSTRACT In the context of rapidly advancing generative artificial intelligence (GenAI), this explanatory sequential mixed‐methods study applies the Integrated Model of Technology Acceptance (IMTA) to investigate how Chinese EFL learners accept and use multimodal AI‐generated content (AIGC) in AI‐mediated informal digital English learning (AI‐IDLE). The analysis of survey data ( N = 706) reveals that perceived enjoyment significantly influences learners’ behavioral intention, perceived usefulness, and perceived ease of use. Mediation analysis demonstrates that perceived usefulness partially mediates the effect of enjoyment on learners’ behavioral intention, with perceived ease of use and usefulness jointly mediating this pathway. Thematic analysis of 20 interviews highlights how learners creatively generate and transform multimodal content to support language learning, enhancing understanding, retention, and engagement. These positive experiences reinforce their motivation to continue using AIGC, even in the face of cultural mismatches, cognitive load, and technical limitations. Findings underscore the importance of both intrinsic and extrinsic motivation in multimodal AIGC adoption, shedding light on innovative practices in AI‐IDLE.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/68c1a12d54b1d3bfb60dc4c0https://doi.org/10.1111/ijal.12827
Ask AI
Helpful
Bookmark
Share
View Full Paper