Assessment of Artificial Intelligence and Film-Based Media integration in Innovative Language teaching among Secondary School Teachers in Okitipupa Metropolis
DOI:
https://doi.org/10.64348/zije.2025224Abstract
This study investigated teachers’ perceptions of integrating artificial intelligence (AI) tools and film-based media to enhance learner engagement, motivation, and linguistic competence in English and Yorùbá classrooms in Okitipupa metropolis. Using a cross-sectional survey design, a stratified purposive sample of 50 practising senior secondary school teachers representing public and private schools and language specialisations was selected. Data were collected through a validated structured Likert-scale questionnaire, with a reliability coefficient of 0.72. Descriptive statistics, including frequencies, percentages, means, medians, and standard deviations, were used to summarise responses. Findings indicated that English teachers reported higher frequency of using AI and films, while Yorùbá teachers exhibited greater confidence in their integration. Both groups perceived positive effects on learner engagement, motivation, and linguistic competence, with Yorùbá teachers highlighting focus and interaction and English teachers emphasising contextual language understanding. The study concluded that perceived competence did not always align with actual usage and recommended professional development, resource access, and sharing of best practices to support effective classroom integration.
References
Adebara, I., & Suleiman, H. (2020). Text-to-speech and automatic speech recognition for low-resource African languages: A survey. Journal of African Languages and Linguistics, 41(2), 155–188.
Adegbija, E., & Abioye, T. (2020). Language education in Nigeria: Challenges, innovations and prospects. Ibadan University Press.
Adejunmobi, M. (2015). African film and literature: Adapting violence to the screen. Indiana University Press.
Akinwale, A. (2019). Using film to enhance English language learning in Nigerian secondary schools. Journal of Language Teaching and Research, 10(3), 549–556.
Bandura, A. (1997). Self-efficacy: The exercise of control. W.H. Freeman.
Buchholz, A. (2022). Generative AI and the future of educational media. British Journal of Educational Technology, 53(5), 1274–1289.
Chen, X., Zou, D., Cheng, G., & Xie, H. (2020). Detecting behavioural patterns in video-based learning: A learning analytics approach. Interactive Learning Environments, 28(3), 316–330.
Floridi, L. (2019). The logic of information: A theory of philosophy as conceptual design. Oxford University Press. DOI: https://doi.org/10.1093/oso/9780198833635.001.0001
Fryer, L., & Carpenter, R. (2006). Bots as language learning tools. Language Learning & Technology, 10(3), 8–14. DOI: https://doi.org/10.64152/10125/44068
Godwin-Jones, R. (2019). Emerging technologies: Autonomous language learning. Language Learning & Technology, 23(2), 4–11. DOI: https://doi.org/10.64152/10125/44208
Graham, S. (2022). Artificial intelligence and language education: Opportunities and challenges. Language Teaching, 55(4), 433–446.
Hill, J., Ford, W., & Farreras, I. (2015). Real conversations with artificial intelligence: A comparison between human–human online conversations and human–chatbot conversations. Computers in Human Behavior, 49, 245–250. DOI: https://doi.org/10.1016/j.chb.2015.02.026
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Centre for Curriculum Redesign.
Holmes, W., & Porayska-Pomsta, K. (2021). Responsible use of AI in education: Considerations for policy and practice. UNESCO Education Sector Reports.
Holmes, W., & Tuomi, I. (2022). State of the art and practice in AI in education. European Journal of Education, 57(4), 542–570. DOI: https://doi.org/10.1111/ejed.12533
Hsu, W.-C., Chen, N.-S., & Chou, Y.-Y. (2020). Using chatbot-supported collaborative learning to enhance student engagement and vocabulary learning. Educational Technology & Society, 23(1), 59–71.
Jordan, M. I., & Mitchell, T. M. (2015). Machine learning: Trends, perspectives, and prospects. Science, 349(6245), 255–260. DOI: https://doi.org/10.1126/science.aaa8415
Klimova, B. (2021). The use of digital technologies in foreign language learning and teaching. Education and Information Technologies, 26, 6579–6598.
Kusumarasdyati. (2019). Students’ perceptions of films in EFL learning. TEFLIN Journal, 30(2), 204–220.
Lai, C. (2022). Autonomous language learning with technology: Theory, practice and challenges. ReCALL, 34(1), 5–20.
Li, J., Link, S., & Hegelheimer, V. (2021). Automated writing evaluation and L2 writing instruction: A longitudinal study. Language Learning & Technology, 25(2), 124–145.
Li, Y., Qian, T., & Wang, H. (2020). Automatic speech recognition-based pronunciation training in second language learning. Computer Assisted Language Learning, 33(7), 752–778.
Li, X., & Sun, S. (2020). Captioning for second language learning: A review of research. ReCALL, 32(1), 66–83. DOI: https://doi.org/10.1017/S0958344021000161
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson.
Mayer, R. (2005). The Cambridge handbook of multimedia learning. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9780511816819
Mayer, R. E. (2020). Multimedia learning (3rd ed.). Cambridge University Press. DOI: https://doi.org/10.1017/9781108894333.003
Nkambou, R., Bourdeau, J., & Mizoguchi, R. (2010). Advances in intelligent tutoring systems. Springer. DOI: https://doi.org/10.1007/978-3-642-14363-2
Ojo, O. (2021). Challenges in using indigenous films for language education in Nigeria. Journal of African Languages and Culture, 12(1), 32–47.
Olayemi, A. (2020). The role of Yoruba films in the revitalisation of indigenous languages. African Linguistic Studies, 15(2), 101–118.
Pardo, A., Jovanović, J., Dawson, S., & Gašević, D. (2019). Using video to support learning: A systematic review. Computers & Education, 144, 103–104.
Passey, D. (2019). Digital learning and engagement: What the research says. Journal of Computer Assisted Learning, 35(3), 278–293.
Richards, J. C., & Rodgers, T. S. (2014). Approaches and methods in language teaching (3rd ed.). Cambridge University Press. DOI: https://doi.org/10.1017/9781009024532
Sánchez-Auñón, E., Férez-Mora, I., & González-Rea, R. (2022). The use of films in the teaching of English as a foreign language: A systematic literature review. Asian Journal of Second and Foreign Language Education, 8, 10. DOI: https://doi.org/10.1186/s40862-022-00183-0
Sherman, J. (2003). Using authentic video in the language classroom. Cambridge University Press.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. DOI: https://doi.org/10.1016/0364-0213(88)90023-7
Thomson, R. I., & Derwing, T. M. (2015). The effectiveness of computer-assisted pronunciation training: A meta-analysis. Journal of Second Language Pronunciation, 1(1), 32–56.
UNESCO. (2021). Artificial intelligence in education: Issues and opportunities for sustainable development (Policy Brief). United Nations Educational, Scientific and Cultural Organization.
Wang, C. (2021). AI-powered video learning in higher education: Potentials and challenges. Computers & Education, 165, 104–132.
Webb, S., & Rodgers, M. (2020). Watching captioned videos for vocabulary learning. Language Teaching Research, 24(4), 519–539.
Winkler, R., & Söllner, M. (2018). Unleashing the potential of chatbots in education. In Proceedings of the 26th European Conference on Information Systems (pp. 1–17). DOI: https://doi.org/10.5465/AMBPP.2018.15903abstract
Zawacki-Richter, O., Marín, V., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence in education. International Journal of Educational Technology in Higher Education, 16(1), 1–27. DOI: https://doi.org/10.1186/s41239-019-0171-0
