Abstract
This study explores the integration of generative AI, specifically ChatGPT, in self-directed language learning (SDLL) as perceived by YouTube content creators. Through thematic analysis of in-depth interviews with 14 prominent online language educators with related YouTube videos on ChatGPT, the present study investigates: (1) their perceptions of GenAI as a tool for SDLL, (2) strategies that they recommend to effectively utilize ChatGPT for enhancing SDLL, and (3) the guidelines they suggest for fostering SDLL with AI. The findings show that YouTube-based language educators acknowledged ChatGPT as a vital tool for SDLL as it offers availability, versatility, and transformative potential. Besides linguistic benefits, ChatGPT enhances SDLL experiences by generating contextually relevant responses and fostering meaningful conversations and learner growth. The study highlights the importance of addressing ethical, pedagogical, and sociocultural factors when incorporating AI in SDL and educators’ critical role in facilitating learners’ navigation through the evolving landscape of SDL in the age of generative AI. The study contributes to refining online language learning models and comprehending the impact of generative AI on SDL.
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References
Adeshola, I., & Adepoju, A. P. (2023). The opportunities and challenges of ChatGPT in education. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2023.2253858
Arkoudas, K. (2023). ChatGPT is no stochastic parrot. But it also claims that 1 is greater than 1. Philosophy & Technology, 36(3), 54. https://doi.org/10.1007/s13347-023-00619-6
Bonk. (2009). The world is open: How Web technology is revolutionizing education. Jossey-Bass.
Bao, Y. & Li, B. (2023). A preliminary study on graduate student instructors' exploration, perception, and use of ChatGPT. International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 13(1), 1–23. https://doi.org/10.4018/IJCALLT.332873
Bärtl, M. (2018). YouTube channels, uploads and views: A statistical analysis of the past 10 years. Convergence, 24(1), 16–32.
Baskara, F. R. (2023). The promises and pitfalls of using Chat GPT for self-determined learning in higher education: An argumentative review. Sentikjar, 2(0). https://journal.iaimsinjai.ac.id/index.php/SENTIKJAR/article/download/1825/858
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the dangers of stochastic parrots: Can language models be too big? In FAccT'21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency (pp. 610–623). https://doi.org/10.1145/3442188.3445922
Benzon, W. L. (2023, February 6). ChatGPT intimates a tantalizing future; Its core LLM is organized on multiple levels; and it has broken the idea of thinking, Version 3. https://doi.org/10.2139/ssrn.4336442
Bewersdorff, A., Zhai, X., Nerdel, C., & Roberts, J. (2023). Myths, mis- and preconceptions of artificial intelligence: A review of the literature. Computers and Education Artificial Intelligence, 4(3), 100143. https://doi.org/10.1016/j.caeai.2023.100143
Bin-Hady, W. R. A., Al-Kadi, A., Hazaea, A., & Ali, J. K. M. (2023). Exploring the dimensions of ChatGPT in English language learning: A global perspective. Library Hi Tech. https://doi.org/10.1108/lht-05-2023-0200
Biswas, S. (2023). Role of Chat GPT in education. Journal of ENT Surgery Research, 1(1), 01–03.
Bozkurt, A. (2023). Generative artificial intelligence (AI) powered conversational educational agents: The inevitable paradigm shift. Asian Journal of Distance Education, 18(1). Retrieved from: http://www.asianjde.com/ojs/index.php/AsianJDE/article/view/718
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Braun, V., Clarke, V., & Rance, N. (2014). How to use thematic analysis with interview data. In A. Vossler & N. Moller (Eds.), The counselling & psychotherapy research handbook (pp. 183–197). Sage.
Carver, D. (1984). Plans, learner strategies and self-direction in language learning. System, 12, 123–131. https://doi.org/10.1016/0346-251X(84)90022-8
Chamot, A. U., Barnhardt, S., Beard El-Dinary, P., & Robbins, J. (1999). The learning strategies handbook. Longman.
Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1), 38.
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on Generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8
Chao, C. C. (2022). Being a YouTuber that language learners recognize: A study on constructing language teacher identities in social media community of practice. System, 109, 102860. https://doi.org/10.1016/j.system.2022.102860
Davis, H. A. (2003). Conceptualizing the role and influence of student-teacher relationships on children's social and cognitive development. Educational Psychologist, 38(4), 207–234. https://doi.org/10.1207/S15326985EP3804_2
Deepwell, F., & Malik, S. (2008). On campus, but out of class: an investigation into students’ experiences of learning technologies in their self-directed study. Research in Learning Technology, 16(1). https://doi.org/10.3402/rlt.v16i1.10881
Firat, M. (2023). How ChatGPT can transform autodidactic experiences and open education? [Manuscript submitted for publication]. Anadolu University. Retrieved from: https://www.researchgate.net/publication/367613715_How_Chat_GPT_Can_Transform_Autodidactic_Experiences_and_Open_Education
Garrison, D. R. (1997). Self-directed learning: Toward a comprehensive model. Adult Education Quarterly, 48(1), 18–33. https://doi.org/10.1177/074171369704800103
Hall, J. D. (2011). Self-directed learning characteristics of first-generation, first-year college students participating in a summer bridge program [Doctoral dissertation, University of South Florida]. USF Digital Commons. https://digitalcommons.usf.edu/etd/3140/
Halaweh, M. (2023). ChatGPT in education: Strategies for responsible implementation. Contemporary Educational Technology, 15(2), ep421. https://doi.org/10.30935/cedtech/13036
Haney, W., Russell, M., Gulek, C., & Fierros, E. (1998). Drawing on education: Using student drawings to promote middle school improvement. Schools in the Middle, 7(3), 38–43. https://eric.ed.gov/?id=EJ561666
Hiemstra, R. (1994). Self-directed learning. IACE Hall of Fame Repository. Retrieved from: https://trace.tennessee.edu/utk_IACE-browseall/503
Holmes, W., & Miao, F. (2023). Guidance for generative AI in education and research. UNESCO Publishing.
Howe, C., Hennessy, S., Mercer, N., Vrikki, M., & Wheatley, L. (2019). Teacher–student dialogue during classroom teaching: Does it really impact on student outcomes? Journal of the Learning Sciences, 28(4–5), 462–512.
Ivanov, S., & Soliman, M. (2023). Game of algorithms: ChatGPT implications for the future of tourism education and research. Journal of Tourism Futures, 9(2), 214–221. https://doi.org/10.1108/JTF-02-2023-0038
Kasworm, C. E. (1988). Self-directed learning in institutional contexts: An exploratory study of adult self-directed learners in adult education. In H. B. Long (Ed.), Self-directed learning: Application and theory (pp. 65–98). University of Georgia, Adult Education Department.
Khan, R. A., Jawaid, M., Khan, A. R., & Sajjad, M. (2023). ChatGPT - Reshaping medical education and clinical management. Pakistan Journal of Medical Sciences, 39(2), 605. https://doi.org/10.12669/pjms.39.2.7653
Kim, R., Olfman, L., Ryan, T., & Eryilmaz, E. (2014). Leveraging a personalized system to improve self-directed learning in online educational environments. Computers & Education, 70, 150–160. https://doi.org/10.1016/j.compedu.2013.08.006
Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. RELC Journal, 54(2), 537–550. https://doi-org.proxyiub.uits.iu.edu/10.1177/00336882231162868
Lai, C. (2013). A framework for developing self-directed technology use for language learning. Language Learning & Technology, 17(2), 100–122. Retrieved from: http://llt.msu.edu/issues/june2013/lai.pdf
Lai, C. (2015). Modeling teachers’ influence on learners’ self-directed use of technology for language learning outside the classroom. Computers & Education, 82, 74–83. https://doi.org/10.1016/j.compedu.2014.11.005
Lastrapes, R. E. (2016). Let us play: Using research-based games to facilitate effective instruction. Beyond Behavior, 25(3), 27–33. https://doi.org/10.1177/107429561602500305
Lai, Y., Saab, N., & Admiraal, W. (2022). Learning strategies in self-directed language learning using mobile technology in higher education: A systematic scoping review. Education and Information Technologies, 4(1), 1–32. https://doi.org/10.1007/s10639-022-10945-5
Li, B., Bonk, C. J., & Kou, X. (2023). Exploring the multilingual applications of ChatGPT: Uncovering language learning affordances in YouTuber videos. International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 13(1), 1–22. https://doi.org/10.4018/IJCALLT.326135
Li, B., Kou, X., & Bonk, C. J. (2023). Embracing the disrupted language teaching and learning field: Analyzing YouTube content creation related to ChatGPT. Languages, 8(3), 197. https://doi.org/10.3390/languages8030197
Li, B., Bonk, C. J., Wang, C., & Kou, X. (2024). Reconceptualizing self-directed learning in the era of generative AI: An exploratory analysis of language learning. IEEE Transactions on Learning Technologies. https://doi.org/10.1109/TLT.2024.3386098
Lin, X. (2023). Exploring the role of ChatGPT as a facilitator for motivating self-directed learning among adult learners. Adult Learning. https://doi.org/10.1177/10451595231184928
Liu, G., & Ma, C. (2023). Measuring EFL learners’ use of ChatGPT in informal digital learning of English based on the technology acceptance model. Innovation in Language Learning and Teaching, 1–14. https://doi.org/10.1080/17501229.2023.2240316
Loyens, S. M., Magda, J., & Rikers, R. M. (2008). Self-directed learning in problem-based learning and its relationships with self-regulated learning. Educational Psychology Review, 20(4), 411–427. https://doi.org/10.1007/s10648-008-9082-7
Memarian, B., & Doleck, T. (2023). Fairness, accountability, transparency, and ethics (FATE) in artificial intelligence (AI), and higher education: A systematic review. Computers and Education: Artificial Intelligence, 100152. https://doi.org/10.1016/j.caeai.2023.100152
Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108, 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x
Mocker, D. W. (1983). Lifelong learning: Formal, nonformal, informal, and self-directed. Adult Education, 33(4), 260–260. https://doi.org/10.1177/0001848183033004009
Mocker, D. W., & Spear, G. E. (1982). Lifelong learning: Formal, nonformal, informal, and self-directed. ERIC Clearinghouse for Adult, Career, and Vocational Education, Ohio State University.
Mohamed, A. M. (2023). Exploring the potential of an AI-based Chatbot (ChatGPT) in enhancing English as a foreign language (EFL) teaching: Perceptions of EFL Faculty Members. Education and Information Technologies, 1–23. https://doi.org/10.1007/s10639-023-11917-z
Mohamed, F., & Shoufan, A. (2022). Choosing YouTube videos for self-directed learning. IEEE Access, 10, 51155–51166.
Morris, T. H., & Rohs, M. (2023). The potential for digital technology to support self-directed learning in formal education of children: A scoping review. Interactive Learning Environments, 31(4), 1974–1987.
Nee, J., Smith, G. M., Sheares, A., & Rustagi, I. (2022). Linguistic justice as a framework for designing, developing, and managing natural language processing tools. Big Data & Society, 9(1), 205395172210909. https://doi.org/10.1177/20539517221090930
Ng, T. K., Su, J., & Chu, S. K. W. (2023). Fostering secondary school students’ AI literacy through making AI-driven recycling bins. Education and Information Technologies, 4(3), 1–32. https://doi.org/10.1007/s10639-023-12183-9
Noble, S. U. (2018). Algorithms of oppression: How search engines reinforce racism. NYU Press.
O’Malley, J. M., & Chamot, A. U. (1990). Learning strategies in second language acquisition. Cambridge University Press.
Oxford, R. L. (1990). Language learning strategies: What every teacher should know (10th ed.). Heinle & Heinle.
Pan, X. (2020). Technology acceptance, technological self-efficacy, and attitude toward technology-based self-directed learning: Learning motivation as a mediator. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.564294.
Pechenkina, E., & Aeschliman, C. (2017). What do students want? Making sense of student preferences in technology-enhanced learning. Contemporary Educational Technology, 8, 26–39. https://doi.org/10.30935/CEDTECH/6185.
Song, L., & Hill, J. R. (2007). A conceptual model for understanding self-directed learning in online environments. Journal of Interactive Online Learning, 6(1), 27–42. Retrieved from: https://eric.ed.gov/?id=EJ1092260
Thornton, K. (2010). Supporting self-directed learning: A framework for teachers. Language Education in Asia, 1(1), 158–170. https://doi.org/10.5746/leia/10/v1/a14/thornton
Thornton, K. (2013). A framework for curriculum reform: Re-designing a curriculum for self-directed language learning. Studies in Self-Access Learning Journal, 4(2), 142–153. Retrieved from: http://sisaljournal.org/archives/june13/thornton/
Vareberg, K. R., & Platt, C. A. (2024). Harnessing the wisdom of YouTube: How self-directed learners achieve personalized learning through technological affordances. Interactive Learning Environments. https://doi.org/10.1080/10494820.2024.2307597
Wang, H., & Lehman, J. (2021). Using achievement goal-based personalized motivational feedback to enhance online learning. Educational Technology Research and Development, 69, 553–581. https://doi.org/10.1007/s11423-021-09940-3
Warschauer, M., Tseng, W., Yim, S., Webster, T., Jacob, S., Du, Q., & Tate, T. (2023). The affordances and contradictions of AI-generated text for writers of English as a second or foreign language. Journal of Second Language Writing, 62, 101071. https://doi.org/10.1016/j.jslw.2023.101071
Yan, D. (2023). Impact of ChatGPT on learners in a L2 writing practicum: An exploratory investigation. Education and Information Technologies, 1–25. https://doi.org/10.1007/s10639-023-11742-4
Young, J. C., & Shishido, M. (2023). Investigating OpenAI’s ChatGPT potentials in generating chatbot’s dialogue for English as a foreign language learning. International Journal of Advanced Computer Science and Applications, 14(6). https://doi.org/10.14569/IJACSA.2023.0140607
Zavyalova, K., & Galvin, C. (2022). Teachers as media creators and prosumers: Exploring the reasons & values behind their YouTube pedagogical activity. Irish Educational Studies, 41(1), 187–200. https://doi.org/10.1080/03323315.2021.2022523
Zhu, M., Bonk, C. J., & Berri, S. (2022). Fostering self-directed learning in MOOCs: Motivation, learning strategies, and instruction. Online Learning. https://doi.org/10.24059/olj.v26i1.2629
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Appendix A
Appendix A
Background
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1.
Could you please briefly introduce yourself including where you are from and your background in terms of language learning or teaching?
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2.
What language(s) are you currently teaching and what level?
Motivation of using ChatGPT in Language Education
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1.
What inspired you to start using ChatGPT in language education?
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2.
Why do you want to make a video about ChatGPT in language education?
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3.
How have you collaborated with other individuals or teams in your exploration of ChatGPT, and what strategies have you found to be most effective in these collaborations?
Pedagogical Advantages & Best Practices
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1.
How do you currently incorporate ChatGPT into your language teaching practice?
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2.
Can you provide examples of how you would use ChatGPT in different language learning activities or tasks?
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3.
What specific language skills or areas do you think ChatGPT can help students improve upon?
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4.
What benefits have you seen in your students’ language learning journey since incorporating ChatGPT into your teaching practices?
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5.
In what ways do you think ChatGPT could complement or replace traditional language learning materials?
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6.
What is/are the most innovative pedagogical ideas, teaching strategies, or creative application(s) of ChatGPT you have seen?
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7.
How do you ensure that ChatGPT is used by learners effectively in language education?
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8.
How would you ensure that students are using ChatGPT effectively as one resource or tool, among many, and not relying solely on it for their language learning?
Challenges or limitations of using ChatGPT in Language Education
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1.
Have you encountered any notable challenges or limitations when using ChatGPT, and how did you address them?
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2.
In your opinion, what are some of the most important considerations for educators who are considering incorporating generative AI into their teaching practices? What could go wrong ethically, educationally, cognitively, practically, emotionally, psychologically, etc.?
Self-Directed Learning
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1.
People are using your shared online videos in YouTube, podcast shows, online news reports and videos, e-books, social media exchanges, and other technology resources to learn one or more languages with ChatGPT. We call such learning self-directed learning. What is your definition of self-directed learning?
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How have you structured or tried to enhance your videos to help people self-direct learning?
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3.
How do you foster own self-directed learning to create your YouTube videos? What do you do?
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4.
A wealth of open educational resources (OER) and online courses have emerged during the past two decades to help countless millions of people to learn in a self-directed and informal way. Explain the role that ChatGPT and generative AI can play in this movement.
ChatGPT
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1.
Have you observed any variations in the performance of ChatGPT across different languages? If so, can you provide examples?
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2.
Have you noticed any variations in the effectiveness of ChatGPT across different types of language learning tasks? If so, can you provide examples?
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3.
Can you use three words to describe ChatGPT? Explain.
Advice and future implication
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How can generative AI be used to promote creativity and innovation in learning, rather than simply automating existing tasks or replicating existing content?
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2.
What advice would you give to other language instructors in terms of integrating Chat GPT and related AI tools into their language practices?
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3.
What features and functions are not yet available with ChatGPT and similar AI tools that you would like to see added and why?
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Li, B., Wang, C., Bonk, C.J. et al. Exploring Inventions in Self-Directed Language Learning with Generative AI: Implementations and Perspectives of YouTube Content Creators. TechTrends (2024). https://doi.org/10.1007/s11528-024-00960-3
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DOI: https://doi.org/10.1007/s11528-024-00960-3