⚠ Official Notice: www.ijisrt.com is the official website of the International Journal of Innovative Science and Research Technology (IJISRT) Journal for research paper submission and publication. Please beware of fake or duplicate websites using the IJISRT name.



Multimodal Approach, Learning Styles, and Artificial Intelligence in an EFL Context


Authors : Mafuta Mungomba Claude; Tshiamanda Niatshini Innocent

Volume/Issue : Volume 11 - 2026, Issue 6 - June


Google Scholar : https://tinyurl.com/3kzce9sj

Scribd : https://tinyurl.com/224ejd25

DOI : https://doi.org/10.38124/ijisrt/26jun1485

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This article examines the interrelationship between multimodal pedagogy, learning styles, and AI in EFL education. It reviews the theoretical foundations of these concepts, discusses their classroom applications, evaluates their pedagogical benefits and challenges, and explores future directions for technology-enhanced language learning. The study argues that the thoughtful integration of multimodal teaching strategies, learner diversity, and AI-supported instruction can substantially improve learner engagement, communicative competence, learner autonomy, and overall academic achievement in contemporary EFL classrooms.

Keywords : Multimodal Pedagogy; Learning Styles; Artificial Intelligence; English as a Foreign Language (EFL); TechnologyEnhanced Learning; Personalized Learning; Digital Education.

References :

  1. Clark, R. C., & Mayer, R. E. (2023). e-Learning and the science of instruction: Proven guidelines for consumers and designers of multimedia learning (5th ed.). Wiley.
  2. Dörnyei, Z. (2005). The psychology of the language learner: Individual differences in second language acquisition. Lawrence Erlbaum Associates.
  3. Fleming, N. D., & Mills, C. (1992). Not another inventory, rather a catalyst for reflection. To Improve the Academy, 11(1), 137–155. https://doi.org/10.1002/j.2334-4822.1992.tb00213.x
  4. Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Books.
  5. Godwin-Jones, R. (2023). Emerging technologies: Generative AI and language learning. Language Learning & Technology, 27(2), 5–16.
  6. Kress, G. (2010). Multimodality: A social semiotic approach to contemporary communication. Routledge.
  7. Kress, G., & van Leeuwen, T. (2001). Multimodal discourse: The modes and media of contemporary communication. Arnold.
  8. Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.
  9. Paivio, A. (1986). Mental representations: A dual coding approach. Oxford University Press.
  10. Pashler, H., McDaniel, M., Rohrer, D., & Bjork, R. (2008). Learning styles: Concepts and evidence. Psychological Science in the Public Interest, 9(3), 105–119. https://doi.org/10.1111/j.1539-6053.2009.01038.x
  11. Papert, S. (1993). The children's machine: Rethinking school in the age of the computer. Basic Books.
  12. Richards, J. C., & Rodgers, T. S. (2014). Approaches and methods in language teaching (3rd ed.). Cambridge University Press.
  13. Skinner, B. F. (1954). The science of learning and the art of teaching. Harvard Educational Review, 24(2), 86–97.
  14. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
  15. UNESCO. (2021). AI and education: Guidance for policymakers. UNESCO. https://unesdoc.unesco.org/
  16. UNESCO. (2023). Guidance for generative AI in education and research. UNESCO. https://unesdoc.unesco.org/
  17. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
  18. Xu, W., & Ouyang, F. (2022). The application of AI technologies in EFL education: A systematic review. Education and Information Technologies, 27(7), 10381–10405.
  19. Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education. International Journal of Educational Technology in Higher Education, 16(39). https://doi.org/10.1186/s41239-019-0171-0

This article examines the interrelationship between multimodal pedagogy, learning styles, and AI in EFL education. It reviews the theoretical foundations of these concepts, discusses their classroom applications, evaluates their pedagogical benefits and challenges, and explores future directions for technology-enhanced language learning. The study argues that the thoughtful integration of multimodal teaching strategies, learner diversity, and AI-supported instruction can substantially improve learner engagement, communicative competence, learner autonomy, and overall academic achievement in contemporary EFL classrooms.

Keywords : Multimodal Pedagogy; Learning Styles; Artificial Intelligence; English as a Foreign Language (EFL); TechnologyEnhanced Learning; Personalized Learning; Digital Education.

Paper Submission Last Date
31 - July - 2026

SUBMIT YOUR PAPER CALL FOR PAPERS
Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe