Examining the Impact of Chatbot-based Language Learning Support, Adaptive Learning Algorithms, and Virtual Reality Language Immersion on EFL Learners' Language Learning Proficiency and Self-Regulated Learning Skills

Abstract

The rapid advancement of technology has revolutionized language learning, introducing innovative methods that depart from traditional instructional approaches. This study employs a mixed-methods research design to examine the impact of chatbot-based language learning support, adaptive learning algorithms, and virtual reality language immersion on the language learning proficiency and self-regulated learning skills of English as a Foreign Language (EFL) learners. The research design includes quantitative analysis of language proficiency scores and qualitative exploration of learner experiences with the technological interventions. The theoretical implications of this study are rooted in constructivist and socio-cultural learning theories, which underpin the design and implementation of technological interventions. The triangulation of qualitative and quantitative data revealed that the participants' positive perceptions of the effectiveness of chatbot-based language learning support were supported by the quantitative results, with the variable "chat-bot based support" demonstrating a substantial mean difference compared to other groups. This convergence of findings reinforces the positive influence of chatbot-based support on language learning outcomes and highlights the importance of integrating theoretical perspectives with empirical evidence to gain a comprehensive understanding of the impact of technological interventions on language learning outcomes for EFL learners. The study's findings provide insights into the potential of these technological interventions to optimize language learning outcomes for EFL learners and promote autonomous learning behaviors.

References

[1] Ait Baha, T., El Hajji, M., Es-Saady, Y., and Fadili, H. (2023). The impact of educational chatbot on student learning experience. Education and Information Technologies, 1-24. https://doi.org/10.3390/ejihpe13090140
[2] Al-Abdullatif, A. M., Al-Dokhny, A. A., and Drwish, A. M. (2023). Implementing the Bashayer chatbot in Saudi higher education: measuring the influence on students' motivation and learning strategies. Frontiers in Psychology, 14, 1129070. DOI: https://doi.org/10.3389/fpsyg.2023.1129070
[3] Chen, J. C., and Kent, S. (2020). Task engagement, learner motivation and avatar identities of struggling English language learners in the 3D virtual world. System, 88, 102168. DOI:https://doi.org/10.1016/j.system.2019.102168
[4] Chiu, T. K., Moorhouse, B. L., Chai, C. S., and Ismailov, M. (2023). Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot. Interactive Learning Environments, 1-17. https://doi.org/10.1080/10494820.2023.2172044
[5] Ciekanski, M., Kalyaniwala, C., Molle, N., and Privas-Bréauté, V. (2020). Real and perceived affordances of Immersive Virtual Environments in a language teacher-training context: effects on the design of learning tasks. Revista Docência e Cibercultura, 4(3), 83-111. DOI: https://doi.org/10.12957/redoc.2020.56752
[6] Deng, X., and Yu, Z. (2023). A meta-analysis and systematic review of the effect of chatbot technology use in sustainable education. Sustainability, 15(4), 2940. DOI: https://doi.org/10.3390/su15042940
[7] Dix, A., Finlay, J., Abowd, G. and Beale, R. (2004). Human-computer interaction. Harlow: Pearson Education.
[8] Grassini, S. (2023). Shaping the future of education: exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692
[9] Han, S., Liu, M., Pan, Z., Cai, Y., and Shao, P. (2023). Making FAQ chatbots more Inclusive: an examination of non-native English users’ interactions with new technology in massive open online courses. International Journal of Artificial Intelligence in Education, 33(3), 752-780. https://doi.org/10.1007/s40593-022-00311-4
[10] Huang, W., Hew, K. F., and Fryer, L. K. (2022). Chatbots for language learning - Are they really useful? A systematic review of chatbot‐supported language learning. Journal of Computer Assisted Learning, 38(1), 237-257. https://doi.org/10.1111/jcal.12610
[11] Itmeizeh, M., Khalil, Z. and Smith, M. (2022). Palestinian EFL Students' Perceptions of Using Edmodo in Developing their Writing Skills. Journal of Palestine Ahliya University for Research and Studies, 1(1), 143-160. https://journal.paluniv.edu.ps/index.php/journal/article/view/41
[12] Jia, C., and Hew, K. F. (2023). Meeting the challenges of decoding training in English as a foreign/second language listening education: current status and opportunities for technology-assisted decoding training. Computer assisted language learning, 36(5-6), 1116-1145. https://doi.org/10.1080/09588221.2021.1974051
[13] Kerimbayev, N., Umirzakova, Z., Shadiev, R., and Jotsov, V. (2023). A student-centered approach using modern technologies in distance learning: a systematic review of the literature. Smart Learning Environments, 10(1), 61. https://doi.org/10.1186/s40561023-00280-8
[14] Kohnke, L. (2023). A pedagogical chatbot: A supplemental language learning tool. RELC Journal, 54(3), 828-838. https://doi.org/10.1177/0033688221106705
[15] Kondurkar, I., Raj, A., and Lakshmi, D. (2024). Modern Applications With a Focus on Training ChatGPT and GPT Models: Exploring Generative AI and NLP. In A. Obaid, B. Bhushan, M. S., and S. Rajest (Eds.), Advanced Applications of Generative AI and Natural Language Processing Models (pp. 186-227). IGI Global. https://doi.org/10.4018/979-8-3693-0502-7.ch010
[16] Kuhail, M. A., Alturki, N., Alramlawi, S., and Alhejori, K. (2023). Interacting with educational chatbots: A systematic review. Education and Information Technologies, 28(1), 973-1018. https://doi.org/10.1007/s10639-022-11177-3
[17] Lawless, B., and Chen, Y. W. (2019). Developing a method of critical thematic analysis for qualitative communication inquiry. Howard Journal of Communications, 30(1), 92-106.https://doi.org/10.1080/10646175.2018.1439423
[18] Merelo, J.J. et al. (2022). Exploring the Role of Chatbots and Messaging Applications in Higher Education: A Teacher’s Perspective. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. Novel Technological Environments. HCII 2022. Lecture Notes in Computer Science, vol 13329. Springer, Cham. https://doi.org/10.1007/978-3-031-05675-8_16
[19] Miller Jr, R. G. (1997). Beyond ANOVA: basics of applied statistics. Florida: CRC press.
[20] Osadcha, K., Osadchyi, V., Semerikov, S., Chemerys, H., and Chorna, A. V. (2020). The review of the adaptive learning systems for the formation of individual educational trajectory. In CEUR Workshop Proceedings 2732, 547-558. https://elibrary.kdpu.edu.ua/handle/123456789/4130
[21] Qaddumi, H. A., Smith, M., Alawneh, Y., Shawamreh, N., Bakeer, A., and Itemizeh, M. (2023) Palestinian undergraduate learners’ foreign language classroom anxiety in online environments. Studies in English Language and Education, 10(3), 1358-1378. https://doi.org/10.24815/siele.v10i3.30031
[22] Qaddumi, H., Smith, M., Masd, K., Bakeer, A. and Abu-Ulbeh, W. (2023). Investigating Palestinian in-service teachers’ beliefs about the integration of information and communication technology (ICT) into teaching English. Educ Inf Technol., 28, 12785–12805. https://doi.org/10.1007/s10639-023-11689-6
[23] Ramandanis, D., and Xinogalos, S. (2023). Investigating the Support Provided by Chatbots to Educational Institutions and Their Students: A Systematic Literature Review. Multimodal Technologies and Interaction, 7(11), 103. https://doi.org/10.3390/mti7110103
[24] Şahin Kızıl, A., and Savran, Z. (2018). Assessing self-regulated learning: The case of vocabulary learning through information and communication technologies. Computer Assisted Language Learning, 31(5-6), 599-616. https://doi.org/10.1080/09588221.2018.1428201
[25] Shaikh, S., Yayilgan, S. Y., Klimova, B., and Pikhart, M. (2023). Assessing the usability of ChatGPT for formal English language learning. European Journal of Investigation in Health, Psychology and Education, 13(9), 1937-1960. https://doi.org/10.3390/ejihpe13090140
[26] Silitonga, L. M., Hawanti, S., Aziez, F., Furqon, M., Zain, D. S. M., Anjarani, S., and Wu, T. T. (2023, August). The Impact of AI Chatbot-Based Learning on Students’ Motivation in English Writing Classroom. In International Conference on Innovative Technologies and Learning (pp. 542-549). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40113-8_53
[27] Song, C., Shin, S. Y., and Shin, K. S. (2023). Optimizing Foreign Language Learning in Virtual Reality: A Comprehensive Theoretical Framework Based on Constructivism and Cognitive Load Theory (VR-CCL). Applied Sciences, 13(23), 12557. https://doi.org/10.3390/app132312557
[28] Suzuki, Y. (Ed.). (2023). Practice and automatization in second language research: Perspectives from skill acquisition theory and cognitive psychology. New York: Routledge.
[29] Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive science, 12(2), 257-285. https://doi.org/10.1016/0364-0213(88)90023-7
[30] Tyagi, A. K. (2024). Transformative Effects of ChatGPT on the Modern Era of Education and Society: From Society's and Industry's Perspectives. In P. Baby Maruthi, S. Prasad, and A. Tyagi (Eds.), Machine Learning Algorithms Using Scikit and TensorFlow Environments (pp. 374-387). IGI Global. https://doi.org/10.4018/978-1-6684-8531-6.ch019
[31] Wu, J.G., Zhang, D. and Lee, S.M. (2024) Into the Brave New Metaverse: Envisaging Future Language Teaching and Learning. in IEEE Transactions on Learning Technologies, 17, 44-53. https://doi.org/10.1109/TLT.2023.3259470
[32] Yang, F.. C. O., Lo, F. Y. R., Hsieh, J. C., and Wu, W. C. V. (2020). Facilitating communicative ability of EFL learners via high-immersion virtual reality. Journal of Educational Technology and Society, 23(1), 30-49. https://www.jstor.org/stable/26915405
[33] Yang, Y., Wen, Y., and Song, Y. (2023). A systematic review of technology-enhanced self-regulated language learning. Educational Technology and Society, 26(1), 31-44. https://www.jstor.org/stable/48707965
[34] Zhang, R., Zou, D., and Cheng, G. (2023). A review of chatbot-assisted learning: pedagogical approaches, implementations, factors leading to effectiveness, theories, and future directions. Interactive Learning Environments, 1-29. https://doi.org/10.1080/10494820.2023.2202704
[35] Zhao, Y., and Lai, C. (2023). Technology and second language learning: Promises and problems. In Y. Zhao and C. Lai (Eds) Technology-mediated learning environments for young English learners (pp. 167-206). London: Routledge. https://doi.org/10.4324/9781003418009-8
Published
2024-06-28
How to Cite
BAHARI, Akbar; SMITH, Matt; SCOTT, Howard. Examining the Impact of Chatbot-based Language Learning Support, Adaptive Learning Algorithms, and Virtual Reality Language Immersion on EFL Learners' Language Learning Proficiency and Self-Regulated Learning Skills. Journal of Research in Educational Sciences, [S.l.], v. 15, n. 1, p. 17-33, june 2024. ISSN 2068-8407. Available at: <https://journals.aserspublishing.eu/jres/article/view/8493>. Date accessed: 21 nov. 2024. doi: https://doi.org/10.14505/jres.v15.1(17).02.