Reshaping the Language Learning Landscape: Factors Influencing Learners' Use of Open‐Source Text‐to‐Video AI (Open‐Sora) in Second Language Acquisition.

Background: Following the disruptive impact of ChatGPT on language learning, the emergence of Sora has once again attracted considerable attention in the field. This novel generative AI product offers new learning modes and resources, bringing new possibilities for the transformation of language acq...

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Publicado en:Journal of Computer Assisted Learning Vol. 42; no. 4; pp. 1 - 28
Autores principales: Jiang, Yang, Wang, Chengliang
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell Aug2026
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Reshaping the Language Learning Landscape: Factors Influencing Learners' Use of Open‐Source Text‐to‐Video AI (Open‐Sora) in Second Language Acquisition.
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        au:
          Jiang, Yang
          Wang, Chengliang
        affil: School of Marxism (Basic Teaching Department), Xizang Agricultural and Animal Husbandry University, Nyingchi, China
      sug:
        subj:
          Students, College Psychosocial Factors
          Language Education
          Artificial Intelligence, Generative Utilization
          Audiovisual Production
          Language Development
          Self-Efficacy
          Intention
          Attitude to Computers Evaluation
          Human
          Funding Source
          China
          Male
          Female
          Young Adult
          Conceptual Framework
          Structural Equation Modeling
          Questionnaires
          Descriptive Statistics
          T-Tests
          One-Way Analysis of Variance
          Confidence Intervals
          Male
          Female
      ab: Background: Following the disruptive impact of ChatGPT on language learning, the emergence of Sora has once again attracted considerable attention in the field. This novel generative AI product offers new learning modes and resources, bringing new possibilities for the transformation of language acquisition. However, research systematically investigating learners' intention to use such text‐to‐video AI tools remains scarce. Objectives: This study utilises text‐to‐video AI‐generated teaching materials produced using Open‐Sora (an open‐source implementation inspired by Sora, not the unreleased official Sora model) as experimental content, aiming to explore college students' intention to use this system for second language (L2) learning and their perceptions of the technology. Methods: In response, this study, grounded in the stimulus–organism–response framework, employs the Information System Success Model, the Task‐Technology Fit model, and the Unified Theory of Acceptance and Use of Technology. Data were collected from 335 university students at universities in Western China and analysed using a structural equation model. Results and Conclusions: Performance expectancy, L2 enjoyment (LEE), and self‐efficacy (SE) significantly and positively predict Behavioural Intention (BI) to use Open‐Sora, whereas effort expectancy and facilitating conditions do not significantly predict BI. Furthermore, SE partially mediates the relationship between LEE and BI. This study enhances our understanding of college students' interactions with text‐to‐video AI in L2 learning contexts and provides implications for the educational use of such AI technologies. Lay Summary: What is currently known about this topic? ○The emergence of large language models has provided new technological tools and learning approaches for L2 learning.○AI technologies, especially text‐to‐video tools, are expected to bring new learning methods and teaching resources for L2 learning.○A systematic exploration of learners' intention to use AI text‐to‐video technology remains extremely limited at present.What does this paper add? ○Within the context of artificial intelligence, the study has introduced the S‐O‐R framework.○This study updates and expands upon ISSM, TTF, and UTAUT.○This study provides preliminary insights into some of the underlying psychological mechanisms of technology acceptance and usage.Implications for practice/or policy ○This study provides some reference for educators in attempting to design and apply generative AI tools in the classroom.○This study demonstrates the potential application of generative AI tools in second language classrooms.○The findings mainly provide implications for instructional design at both the classroom and curriculum levels.
      pubtype: Academic Journal
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        research
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      ougenre: Article
    language: English
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