Examining English-Majored Students’ Performance and Attitudes towards ChatGPT and an Online Dictionary for Lookup

Authors

DOI:

https://doi.org/10.54855/paic.24611

Keywords:

ChatGPT, online dictionaries, lookup, English-Majored students

Abstract

It is true that the recent boom of artificial intelligence (AI), together with generative AI, has substantially transformed language education in myriad facets. In this context, powerful AI chatbots like ChatGPT, Bing AI, or Gemini have become worthy competitors to dictionaries. Hence, the aims of this study were to (1) compare the performance of English-majored students in doing receptive and productive lexical tasks when using ChatGPT and online Oxford Learner’s Dictionaries (OLD) as consultation tools and (2) investigate their attitudes towards these two tools in language learning. A quasi-experiment was conducted with 60 Vietnamese English-majored students at Saigon University to achieve these objectives, followed by a questionnaire. The results revealed that students with the assistance of OLD had higher mean scores than those with ChatGPT in the receptive tasks, while the opposite is true for the productive ones. In addition, ChatGPT contributed to noticeably higher improvement scores between the pre-test and post-test in both receptive and productive tasks. In addition, the students also showed positive attitudes towards these tools for their language learning. These findings can provide valuable insights into the current picture among language education, AI, and dictionaries.

Author Biographies

Mai Hoang Viet, Saigon University, Ho Chi Minh City, Vietnam

Mai Hoang Viet has been working for the Faculty of Foreign Languages, Saigon University since 2023. Mai Hoang Viet received a master's degree in English language at Ho Chi Minh City University of Technology (HUTECH) in 2022. Mai Hoang Viet's research interest mainly relates to English language skills and teaching development.

Tran The Phi, Saigon University, Ho Chi Minh City, Vietnam

Tran The Phi has been working for the Faculty of Foreign Languages at Saigon University since 2010. He received a doctorate in linguistics and literature from the University of Social Sciences and Humanities, VNUHCM. His research interests are in cognitive semantics, curriculum development, and English teaching methods.

References

Al-Obaydi, L. H., Pikhart, M., & Klimova, B. (2023). ChatGPT and the general concepts of education: Can artificial intelligence-driven chatbots support the process of language learning? International Journal of Emerging Technologies in Learning, 18(21), 39-50. https://doi.org/10.3991/ijet.v18i21.42593 DOI: https://doi.org/10.3991/ijet.v18i21.42593

Atkins, B. T., & Rundell, M. (2008). The Oxford guide to practical lexicography. Oxford University Press. DOI: https://doi.org/10.1093/oso/9780199277704.001.0001

Atlas, S. (2023). ChatGPT for Higher Education and Professional Development: A Guide to Conversational AI. University of Rhode Island.

Chen, Y. (2016). Dictionary use for collocation production and retention: A call-based study. International Journal of Lexicography, 30(2), 225-251. de Schryver, G.-M. (2023). Generative AI and lexicography: The current state of the Art using ChatGPT. International Journal of Lexicography, 36(4), 355-387. https://doi.org/10.1093/ijl/ecad021 DOI: https://doi.org/10.1093/ijl/ecad021

Dirham, U. R., & Triyuono, A. (2023). A review on the Oxford Advanced Dictionary Online intended for learners of English. Journal of Learning and Instructional Studies, 3(1), 30-38. https://doi.org/10.46637/jlis.v3i1.38

Filer, B. (2017). Paper or electronic dictionaries: A comparison. In C. P, K. A, & H. Brown (Eds.), Transformation in language education (pp. 235-242). JALT.

Fraser, C. (1999). The role of consulting a dictionary in reading and vocabulary learning. Canadian Journal of Applied Linguistics, 2(2), 73-89.

Gairns, R., & Redman, S. (2005). Working with words. Cambridge University Press.

Hamad, M. (2013). Effects of using online dictionary and intensive involvement tasks in developing EFL learners' receptive and productive knowledge of verb-noun collocations [Master Thesis, Prince of Songkla University].

Kosem, I. &.-S.-A. (2018). The image of the monolingual dictionary across Europe. Results of the European survey of dictionary use and culture. International Journal of Lexicography, 32(1), 92–114. https://doi.org/10.1093/ijl/ecy022 DOI: https://doi.org/10.1093/ijl/ecy022

Lan, L. (2005). The growing prosperity of online dictionaries. English Today, 21(3), 16-21. DOI: https://doi.org/10.1017/S0266078405003044

Laufer, B., & Hill, M. (2000). What lexical information do L2 learners select in a CALL dictionary and how does it affect word retention? Language, Learning, and Technology, 3(2), 58-76.

Li, L., & Xu, H. (2015). Using an online dictionary for identifying the meanings of verb phrases by Chinese EFL learners. Lexikos, 25, 191-209. https://doi.org/10.5788/25-1-1295 DOI: https://doi.org/10.5788/25-1-1295

Losi, R. V., Putra, E., Ali, N., & Dewi, A. S. (2024). Investigating artificial intelligence (AI) as a vocabulary learning tool: Students' perception to use ChatGPT. Proceeding International Conference on Religion, Science and Education, 3. North Sumatra.

Nation, I. S. (2001). Learning vocabulary in another language. Cambridge University Press. DOI: https://doi.org/10.1017/CBO9781139524759

Nesi, H. (2024). Are we witnessing the death of dictionaries? Iberica, 47, 7-14. https://doi.org/10.17398/2340-2784.47.7 DOI: https://doi.org/10.17398/2340-2784.47.7

Nguyen, C. T. (2023). University teachers’ perceptions of using ChatGPTin language teaching and assessment. Proceedings of the AsiaCALL International Conference, 4, 116-128. https://doi.org/10.54855/paic.2349 DOI: https://doi.org/10.54855/paic.2349

Nguyen, Y. T. (2023). Unraveling the potential of ChatGPT: Investigating the efficacy of reading text adaptation. Proceedings of the AsiaCALL International Conference, 4, 159-169. https://doi.org/10.54855/paic.23412 DOI: https://doi.org/10.54855/paic.23412

Niitemaa, M.-L., & Pietilä, P. (2018). Vocabulary skills and online dictionaries: A study on EFL learners' receptive vocabulary knowledge and success in searching electronic sources for information. Journal of Language Teaching and Research, 9(3), 453-462. https://doi.org/10.17507/jltr.0903.02 DOI: https://doi.org/10.17507/jltr.0903.02

Phoodai, C., & Rikk, R. (2023). Exploring the capabibilities of for lexicographical purposes: A comparison with Oxford Advanced Learner's Dictionary within the microstructural framework. Electronic lexicography in the 21st century (eLex 2023): Invisible Lexicography. Proceedings of the eLex 2023 conference (pp. 345-375). Brno: Lexical Computing CZ s.r.o.

Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135-153. https://doi.org/10.2478/jolace-2019-0025 DOI: https://doi.org/10.2478/jolace-2019-0025

Ptasznik, B., & Lew, R. (2024, March 25). A learners’ dictionary versus ChatGPT in receptive and productive lexical tasks. https://doi.org/10.31219/osf.io/9n685 DOI: https://doi.org/10.31219/osf.io/9n685

Rundell, M. (2023). Automating the creation of dictionaries: Are we nearly there? Proceedings Seoul of the 16th International Conference of the Asian Association for Lexicography: “Lexicography Artificial Intelligence, and Dictionary Users” (pp. 1-9). Seoul: Yonsei University.

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Published

2024-11-29

How to Cite

Mai, H. V., & Tran, T. P. (2024). Examining English-Majored Students’ Performance and Attitudes towards ChatGPT and an Online Dictionary for Lookup. Proceedings of the AsiaCALL International Conference, 6, 144–156. https://doi.org/10.54855/paic.24611

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