THE EFFECTIVENESS OF MULTIMODAL LEARNING (TEXT + VIDEO + AI) IN VOCABULARY ACQUISITION AMONG UZBEK EFL STUDENTS
Keywords:
multimodal learning, vocabulary acquisition, English as a Foreign Language, Uzbek students, artificial intelligence, video learning, text-based learning, language educationAbstract
This study investigates the effectiveness of multimodal learning— combining text, video, and artificial intelligence (AI) tool —in enhancing vocabulary acquisition among Uzbek EFL (English as a Foreign Language) students. The research explores how integrating multiple modes of input improves learners’ engagement, retention, and understanding of new vocabulary. It also examines the role of AI in providing personalized feedback and adaptive learning experiences. Findings highlight the potential benefits and challenges of multimodal approaches in EFL contexts.
References
1. Mayer, R. E. (2009). Multimedia Learning (2nd ed.). Cambridge University Press.
2. Chen, C.-M., & Chung, C.-J. (2008). Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle. Computers & Education, 51(2), 624–645.
3. Paivio, A. (1991). Dual Coding Theory: Retrospect and Current Status.
Canadian Journal of Psychology, 45(3), 255–287.
4. Stockwell, G. (2010). Using mobile phones for vocabulary activities: Examining the effect of platform. Language Learning & Technology, 14(2), 95–110.
5. Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence Unleashed: An Argument for AI in Education. Pearson.
6. Godwin-Jones, R. (2018). Using mobile technology to develop language skills and cultural understanding. Language Learning & Technology, 22(3), 1–17.