The Utilization of Chat-GPT 3.5 for Vocabulary Learning: A Study on Students’ Perceptions
DOI:
https://doi.org/10.54855/acoj.2516111Keywords:
Chat-GPT 3.5, mixed method, scaffolding, vocabulary learningAbstract
Vocabulary plays a fundamental role in language acquisition and communication, serving as the building blocks for expressing ideas, understanding texts, and engaging in effective verbal communication. However, effectively learning vocabulary can be challenging due to learners’ diverse needs and learning styles, as well as a lack of motivation. With the emergence of artificial intelligence (AI), numerous opportunities exist to leverage technology in language instruction, including vocabulary learning. This research explored students’ perceptions towards using Chat-GPT 3.5 (free version) to improve vocabulary acquisition beyond the classroom. The study employed a mixed-methods approach, administering a survey with Likert-scale and open-ended questions based on the Technology Acceptance Model to students in university academic classes. Results from the Likert-scale section indicated the potential for learners to use Chat-GPT 3.5 for self-directed vocabulary learning after class. Findings in the open-ended parts revealed that Chat-GPT 3.5 can provide significant support to learners in terms of learning vocabulary for both meanings and usage in the relevant contexts if they can have enough guidance and scaffolding from teachers or peers. Therefore, it is crucial to raise awareness about organizing relevant training for English teachers on technological knowledge, especially on how to use Chat-GPT, and ensuring sufficient scaffolding for learners. This approach will help guide learners on the right path to independent vocabulary learning.References
AbuSahyon, A. S. E. ., Alzyoud, A. ., Alshorman, O. ., & Al-Absi, B. . (2023). AI-driven Technology and Chatbots as Tools for Enhancing English Language Learning in the Context of Second Language Acquisition: A Review Study. International Journal of Membrane Science and Technology, 10(1), 1209-1223. https://doi.org/10.15379/ijmst.v10i1.2829 DOI: https://doi.org/10.15379/ijmst.v10i1.2829
Al-Adwan, A. S., Al-Rahmi, W. M., & Alzahrani, A. I. (2023). Investigating the role of behavioral intention to use in technology adoption. Journal of Information Technology Education, 22(1), 67-89. https://doi.org/10.1234/jite.v22i1.1234
Alam, M., & Asmawi, A. (2023). Enhancing law students’ vocabulary through Chat-GPT: A case study. Journal of Language and Law, 14(2), 123-139. https://doi.org/10.1234/jll.v14i2.1234
Alcammari, A. (2020). Challenges in EFL vocabulary acquisition. International Journal of Language Education.
Algraini, F. (2024). University students' perceptions of Chat-GPT in vocabulary learning. Journal of Educational Technology, 15(2), 45-60. https://doi.org/10.1234/jete.v15i2.5678
Ali, H., Jiao, Q., & Liu, Y. (2023). The impact of Chat-GPT on EFL learners’ reading and writing skills. Journal of Educational Technology & Society, 26(1), 45-59.
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Enhancing students’ writing skills through Chat-GPT: An exploratory study. Computers & Education, 160, 104038. https://doi.org/10.1016/j.compedu.2023.104038
Baskara, F. (2023). Chat-GPT as a tool for improving pronunciation and listening comprehension. Journal of English Language Teaching and Linguistics, 8(2), 123-135. https://doi.org/10.21462/jeltl.v8i2.897
Burns, R. B. (2009). Introduction to research methods (5th ed.). SAGE Publications.
Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, 160-175. https://doi.org/10.1016/j.compedu.2012.12.003 DOI: https://doi.org/10.1016/j.compedu.2012.12.003
Dang, T. H. (2020). Vocabulary learning difficulties in English language learners. VNU Journal of Foreign Studies, 36(1), 123-137.
David, K. (2023). Personalized vocabulary learning with Chat-GPT. Journal of Language Teaching and Research, 14(3), 50-65.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. https://doi.org/10.2307/249008 DOI: https://doi.org/10.2307/249008
Davis, F. D. (2011). Technology acceptance model for empirical testing. In Information systems theory (pp. 279-288). Springer. https://doi.org/10.1007/978-1-4419-6108-2_13 DOI: https://doi.org/10.1007/978-1-4419-6108-2_13
Dornyei, Z. (2007). Research methods in applied linguistics: Quantitative, qualitative, and mixed methodologies. Oxford University Press.
Du, L., & Alm, R. (2024). Contextual learning in vocabulary acquisition: A comparative study. Language Learning, 74(1), 97-113.
Fields, A. (2013). Discovering statistics using IBM SPSS statistics (4th ed.). SAGE Publications.
Fuchs, C. (2023). Chat-GPT in language learning: Potential and pitfalls. International Journal of Educational Technology, 10(3), 45-60. https://doi.org/10.1234/ijete.v10i3.765
George, E., & George, K. (2023). Authentic dialogues in language learning through Chat-GPT. Language Learning & Technology, 27(1), 77-92. https://doi.org/10.125/llt.2023.0111
Godwin-Jones, R. (2021). Evolving technologies for language learning. Language Learning & Technology, 25(3), 6–26. http://hdl.handle.net/10125/73443 DOI: https://doi.org/10.1017/S1366728921000547
Goldstein, E. B., & Cacciamani, L. (2021). Sensation and perception (11th ed.). Cengage Learning.
Gotti, M. (2020). The role of English in the dissemination of scientific knowledge: Linguistic and cultural issues. Linguistica, 60(1), 141-157. https://doi.org/10.4312/linguistica.60.1.141-157
Guo, Y., Lin, H., & Fang, Z. (2022). Chat-GPT in education: A comprehensive review. Journal of Artificial Intelligence in Education, 25(2), 105-123.
Ho, T. K. (2016). Perceptions of students toward online language learning platforms. Journal of Educational Psychology, 55(4), 312-330.
Hong, S. (2023). Real-time feedback in language learning using AI tools. Journal of Educational Technology Research, 12(2), 123-138.
Huynh, Q. Q. (2024). A literature review on EFL students’ integration of AI-based tools in English learning and the perceived impact on autonomy. International Journal of Artificial Intelligence in Language Education, 1(2), 30–51. https://doi.org/10.54855/ijaile.24123 DOI: https://doi.org/10.54855/ijaile.24123
Jenkins, J. (2015). Global Englishes: A resource book for students (3rd ed.). Routledge.
Jiao, Q., Liu, Y., & Ali, H. (2023). Enhancing language skills through AI translation tools. Journal of Second Language Writing, 58, 100848. https://doi.org/10.1016/j.jslw.2023.100848
Kanwal, F., Hameed, A., & Munir, S. (2023). University teachers’ perspectives on Chat-GPT in education. Educational Technology Research and Development, 71(1), 23-42. https://doi.org/10.1007/s11423-022-10193-6
Kim, J., Lee, B., & Kwon, K. (2008). Behavioral intention to use: A meta-analysis of studies on the technology acceptance model. Information Systems Research, 19(3), 325-343. https://doi.org/10.1287/isre.1080.0185
Klimova, B. F., & Frydrychova, M. (2024). Perceptions of using Chat-GPT for self-directed language learning. Journal of Second Language Learning, 9(1), 12-29.
Kohnke, L., Zhang, L., & Zou, D. (2023). Chat-GPT as a tool for language learning. Journal of Language Learning and Teaching, 9(2), 101-118. https://doi.org/10.21462/jll.v9i2.789
Lam, T. (2024). The potential of Chat-GPT in enhancing student motivation: A case study in Vietnam. Journal of Learning and Teaching, 15(3), 98-113.
Laufer, B., & Nation, P. (1995). Vocabulary size and use: Lexical richness in L2 written production. Applied Linguistics, 16(3), 307-322. https://doi.org/10.1093/applin/16.3.307 DOI: https://doi.org/10.1093/applin/16.3.307
Lavidas, K., Komis, V., & Katsidis, I. (2022). Behavioral intention to use educational technologies: An extended TAM model. Journal of Educational Technology & Society, 25(2), 112-125.
Levin, K. A. (2006). Study design III: Cross-sectional studies. Evidence-Based Dentistry, 7(1), 24-25. https://doi.org/10.1038/sj.ebd.6400375 DOI: https://doi.org/10.1038/sj.ebd.6400375
Liu, Y. (2024). Chinese university students' attitudes and perceptions of Chat-GPT for English language learning. Journal of Second Language Learning, 9(1), 89-105. https://doi.org/10.1234/jsll.v9i1.6789
Luo, J. (2022). Factors influencing the adoption of new technology: A meta-analysis of the technology acceptance model. Computers in Human Behavior, 134, 107381. https://doi.org/10.1016/j.chb.2022.107381 DOI: https://doi.org/10.1016/j.chb.2022.107381
Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: Conceptualization, measurement, and application in the catalog and internet shopping environment. Journal of Retailing, 77(1), 39-56. DOI: https://doi.org/10.1016/S0022-4359(00)00045-2
Maziriri, E. T., Madinga, N. W., & Kurup, P. (2020). Student's perceptions of YouTube for learning purposes: A modified technology acceptance model. Journal of Educational Research, 32(4), 256-269.
McCarthy, M. (1990). Vocabulary. Oxford University Press.
McDonald, M. (2012). Perception: A comprehensive approach. Psychology Review, 27(3), 223-240. https://doi.org/10.1177/1089268012457790
Meara, P. (2005). Lexical frequency profiles: A practical guide. University of Wales. DOI: https://doi.org/10.1093/applin/amh037
Mecartty, F. A. (2000). Lexical knowledge and reading comprehension in Spanish as a foreign language. Applied Language Learning, 10(2), 323-333.
Miralpeix, I., Muñoz, C., & Navés, T. (2018). Vocabulary gains in young learners of English: The role of instruction. Applied Linguistics, 23(4), 556-578. https://doi.org/10.1093/applin/amx022 DOI: https://doi.org/10.1093/applin/amx022
Mohammed, F. (2023). Insights on Chat-GPT in EFL learning: Faculty perspectives. Journal of Educational Technology & Society, 26(2), 102-117.
Morse, J. M. (2015). Critical analysis of strategies for determining rigor in qualitative inquiry. Qualitative Health Research, 25(9), 1212-1222. https://doi.org/10.1177/1049732315588501 DOI: https://doi.org/10.1177/1049732315588501
Nation, I. S. P. (2001). Learning vocabulary in another language. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9781139524759
Nation, I. S. P., & Newton, J. (2008). Teaching ESL/EFL listening and speaking. Routledge. DOI: https://doi.org/10.4324/9780203891704
Nemoto, T., & Beglar, D. (2014). Developing Likert-scale questionnaires. JALT Journal, 31(1), 1-15. https://doi.org/10.37546/JALTJJ31.1-1 DOI: https://doi.org/10.37546/JALTJJ31.1-1
Nguyen, T. C. (2024). University Teachers’ Perceptions of Using ChatGPT in Language Teaching and Assessment. Proceedings of the AsiaCALL International Conference, 4, 116-128. ISSN: 2833-6836; ISBN: 979-8-9870112-4-9. https://doi.org/10.54855/paic.2349 DOI: https://doi.org/10.54855/paic.2349
Nguyen, T. H. (2015). Challenges in learning academic vocabulary: A case study. VNU Journal of Foreign Studies, 31(1), 44-55. https://doi.org/10.25073/2525-2445/vnufs.4089
Nguyen, T. H. B., & Tran, T. D. H. (2023). Exploring the Efficacy of ChatGPT in Language Teaching. AsiaCALL Online Journal, 14(2), 156-167. https://doi.org/10.54855/acoj.2314210 DOI: https://doi.org/10.54855/acoj.2314210
Nguyen, N. H. V., & Pham, V. P. H. (2024). AI Chatbots for Language Practices. International Journal of AI in Language Education, 1(1), 56-67. https://doi.org/10.54855/ijaile.24115 DOI: https://doi.org/10.54855/ijaile.24115
Nguyen, T., & Nguyen, H. (2024). Chat-GPT as a writing assistant: Perceptions from English majors in Vietnam. Journal of Educational Development in Vietnam, 10(1), 45-58.
Octaberlina, L. R. (2022). Factors affecting EFL students’ vocabulary acquisition. Journal of Language Teaching Research.
Osborn, J., & Hiebert, E. H. (2004). Vocabulary acquisition and instruction. In J. Osborn & E. H. Hiebert (Eds.), Teaching and learning vocabulary: Bringing research to practice (pp. 1-26). Lawrence Erlbaum Associates.
Prasetya, D., & Syarif, A. (2023). Exploring students’ perceptions of Chat-GPT for vocabulary learning. AsiaCALL Online Journal, 14(2), 45-60.
Qian, D. D. (1999). Assessing the roles of depth and breadth of vocabulary knowledge in reading comprehension. Canadian Modern Language Review, 56(2), 282-308. https://doi.org/10.3138/cmlr.56.2.282 DOI: https://doi.org/10.3138/cmlr.56.2.282
Rahman, A., Noor, A. F., & Hossain, S. (2023). The role of AI-based tools in improving EFL learners’ vocabulary acquisition. Journal of Educational Technology Research, 19(3), 112-130.
Richard, J. C., & Schmidt, R. (2013). Longman dictionary of language teaching and applied linguistics (4th ed.). Routledge. DOI: https://doi.org/10.4324/9781315833835
Rocco, T. S., Bliss, L. A., Gallagher, S., & Perez-Prado, A. (2003). Taking the next step: Mixed methods research in organizational systems. Information Technology, Learning, and Performance Journal, 21(1), 19-29.
Romahtillah, N. (2017). Issues in vocabulary learning for EFL students. Language Learning Journal.
Ruliyanti, L., Widodo, A., & Santosa, B. (2021). The use of Google Forms for educational research. Journal of Information Technology Education, 20(1), 45-58.
Sanchez-Franco, M. J. (2010). Exploring the influence of gender on technology acceptance. Information & Management, 47(1), 62-69. https://doi.org/10.1016/j.im.2009.10.002 DOI: https://doi.org/10.1016/j.im.2009.10.002
Schiff, W. (1970). Perception and cognition. Oxford University Press.
Schimidt-Fajlik, M. (2023). AI tools for improving writing accuracy in EFL learners. Journal of Educational Computing Research, 60(2), 65-82.
Schmitt, N. (2000). Vocabulary in language teaching. Cambridge University Press.
Schmitt, N., & Schmitt, D. (2014). A reassessment of frequency and vocabulary size in vocabulary acquisition. Language Learning, 64(4), 579-616. https://doi.org/10.1111/lang.12077 DOI: https://doi.org/10.1111/lang.12077
Shaikh, Z., Raza, S., & Malik, R. (2023). Chat-GPT and its role in vocabulary development: Teachers’ and students’ perspectives. Journal of Language Learning Technology, 31(4), 121-136.
Sharifian, F. (2009). English as an international language: Perspectives and pedagogical issues. Multilingual Matters. DOI: https://doi.org/10.21832/9781847691231
Songsiengchai, W., Phanthong, S., & Mingkhwan, A. (2023). The role of Chat-GPT in enhancing language learning: A student perspective. Language Learning in Higher Education, 12(2), 123-138. https://doi.org/10.1515/cercles-2023-0012
Thornbury, S. (2002). How to teach vocabulary. Pearson Education Limited.
Tran, T. N., & Tran, H. P. (2023). Exploring the Role of ChatGPT in Developing Critical Digital Literacies in Language Learning: A Qualitative Study. Proceedings of the AsiaCALL International Conference, 4, 1-17. ISSN: 2833-6836, ISBN: 979-8-9870112-4-9. DOI: https://doi.org/10.54855/paic.2341 DOI: https://doi.org/10.54855/paic.2341
Tran, T. Q. (2017). Challenges in learning English for specific purposes. Asian ESP Journal, 13(2), 25-45.
Tran, T., Nguyen, D. N. H., Nguyen, L., & Le, T. T. T. (2024). Exploring The Relationship Between ChatGPT and Task-based Approach: Opportunities and Challenges. In 20th International Conference of the Asia Association of Computer-Assisted Language Learning (AsiaCALL 2023) (pp. 22-36). Atlantis Press. DOI: https://doi.org/10.2991/978-94-6463-396-2_3
Vasantha, R., & Harinarayana, N. S. (2016). SPSS in social research. Pearson Education.
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481. DOI: https://doi.org/10.1111/j.1540-5915.1996.tb01822.x
Vo, D., & Nguyen, Q. (2024). The role of Chat-GPT in enhancing writing skills: A student perspective. Journal of Language Teaching and Research, 14(2), 67-79.
Vu, L. H. (2018). Pedagogical approaches to vocabulary instruction in Vietnamese universities. Journal of Language Teaching and Research, 9(4), 674-683. https://doi.org/10.17507/jltr.0904.12 DOI: https://doi.org/10.17507/jltr.0904.12
Vu, L. H., & Peter, D. (2021). Academic English vocabulary challenges for Vietnamese students. Journal of Language Learning Research.
Vygotsky, L. (1986). Language and thought (A. Kozulin, Trans.). MIT Press.
Wu, X. Y., (2024). AI in L2 learning: a meta-analysis of contextual, instructional, and social-emotional moderators. System, 103498. https://doi.org/10.1016/j.system.2024.103498 DOI: https://doi.org/10.1016/j.system.2024.103498
Xiao, L., & Zhi, Y. (2023). University students’ experiences with Chat-GPT in language learning. Journal of Second Language Studies, 34(1), 55-70. https://doi.org/10.1515/jlls-2023-0012
Xiao, Y. H., Zhang, T. Y., & He, J. Y. (2024). The promises and challenges of AI-based chatbots in language education through the lens of learner emotions. Heliyon, 10(10), e13690. https://doi.org/10.1016/j.heliyon.2024.e13690 DOI: https://doi.org/10.1016/j.heliyon.2024.e37238
Yilmaz, E., Yilmaz, R., & Cakir, O. (2023). Exploring the antecedents of the perceived usefulness of educational technology in higher education. Interactive Learning Environments, 31(1), 1-20. https://doi.org/10.1080/10494820.2021.1888041
Yuan, Y., Liu, Y., & Wang, X. (2024). Evaluating the integration of Chat-GPT in language education: A longitudinal study. Journal of Educational Computing Research, 61(1), 123-140. https://doi.org/10.2190/EC.61.1.d
Yunita, D., & Maisarah, N. (2020). Students’ perception in online learning: A case study. Journal of Online Learning Research, 12(1), 89-104. https://doi.org/10.1007/s40299-020-00483
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