INVESTIGATING THE ADAPTABILITY OF CHATGPT FOR GENERATING REFERENCE DIALOGUES FOR HIGHER-LEVEL ENGLISH LEARNERS

Difa Salsa Maulidyah, Syafi'ul Anam, Him'mawan Adi Nugroho

Abstract


English proficiency can enhance non-native speakers' educational experience by providing them access to a wide range of materials, international conferences, and chances for collaboration. However, acquiring a language can present significant challenges, especially for people who are not native English speakers and those who enter the education system from other nations. The utilization of Artificial Intelligence (AI) and fully automated interactive spoken language (SDS) has the potential to enhance student engagement and facilitate improvements in oral contact and communication. The Chatbot feature of ChatGPT, an AI website, has the potential to enhance language learning by promoting active participation and improving educational achievements. Nevertheless, the efficacy of ChatGPT in catering to the needs of second language (L2) learners can be constrained by their distinct linguistic demands. This project aims to investigate the capacity of ChatGPT to produce reference dialogues tailored for advanced English learners and examine the potential enhancement of dialogue quality through prompting strategies. This study used a mixed method study, which distributed a survey questionnaire and conducted semi-structured interviews with the responders to determine the best prompting technique used in ChatGPT for generating reference dialogue.  Then, the finding of this research showed that most students had a positive perception of using ChatGPT to generate dialogue references. However, some of them had a negative perception in some parts of using ChatGPT to generate dialogue references. Furthermore, ChatGPT was valuable and helpful in generating dialogue references, which helped the students be more confident when they wrote a conversational dialogue.

 


Keywords


ChatGPT, Reference Dialogue, Higher-Level Learner, Prompting Technique

Full Text:

PDF

References


Alawida, M., Mejri, S., Mehmood, A., Chikhaoui, B., & Isaac Abiodun, O. (2023). A Comprehensive Study of ChatGPT: Advancements, Limitations, and Ethical Considerations in Natural Language Processing and Cybersecurity. In Information (Switzerland) (Vol. 14, Issue 8). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/info14080462

Annamalai, N., Rashid, R. A., Munir Hashmi, U., Mohamed, M., Harb Alqaryouti, M., & Eddin Sadeq, A. (2023). Using chatbots for English language learning in higher education. Computers and Education: Artificial Intelligence, 5. https://doi.org/10.1016/j.caeai.2023.100153

Baskara, R. FX. (2023). Chatbots and Flipped Learning: Enhancing Student Engagement and Learning Outcomes through Personalised Support and Collaboration. IJORER : International Journal of Recent Educational Research, 04(02), 223–238.

Cameron, R., & Bentahar, O. (2013). Design and Implementation of a Mixed Method Research Study in Project Management. In Electronic Journal of Business Research Methods (Vol. 13). https://www.researchgate.net/publication/299736667

Chang, D. H., Lin, M. P. C., Hajian, S., & Wang, Q. Q. (2023). Educational Design Principles of Using AI Chatbot That Supports Self-Regulated Learning in Education: Goal Setting, Feedback, and Personalization. Sustainability (Switzerland), 15(17). https://doi.org/10.3390/su151712921

Chen, J., Chen, L., Huang, H., & Zhou, T. (2023). When do you need Chain-of-Thought Prompting for ChatGPT? http://arxiv.org/abs/2304.03262

Doshi, R. H., Bajaj, S. S., & Krumholz, H. M. (2023). ChatGPT: Temptations of Progress. The American Journal of Bioethics, 23(4), 6–8. https://doi.org/10.1080/15265161.2023.2180110

Fried, D., Chiu, J. T., & Klein, D. (2021). Reference-Centric Models for Grounded Collaborative Dialogue. http://arxiv.org/abs/2109.05042

Gao, M., Wan, X., Su, J., Wang, Z., & Huai, B. (2023). Reference Matters: Benchmarking Factual Error Correction for Dialogue Summarization with Fine-grained Evaluation Framework. http://arxiv.org/abs/2306.05119

Harris, L. R., Brown, G. T. L., & Harris, L. R. (2010). Mixing interview and questionnaire methods: Practical problems in aligning data A peer-reviewed electronic journal. Mixing interview and questionnaire methods: Practical problems in aligning data. 15(1). https://www.researchgate.net/publication/233871179

Kim, H. S., Cha, Y., & Kim, N. Y. (2021). Effects of ai chatbots on efl students’ communication skills. Korean Journal of English Language and Linguistics, 2021(21), 712–734. https://doi.org/10.15738/kjell.21..202108.712

Küchemann, S., Steinert, S., Revenga, N., Schweinberger, M., Dinc, Y., Avila, K. E., & Kuhn, J. (2023). Physics task development of prospective physics teachers using ChatGPT. https://doi.org/10.1103/PhysRevPhysEducRes.19.020128

Kumar, A., Di Eugenio, B., Bhattacharya, A., Aurisano, J., & Johnson, A. (2022). Reference Resolution and Context Change in Multimodal Situated Dialogue for Exploring Data Visualizations. http://arxiv.org/abs/2209.02215

Pereira, N., & de Oliveira, L. C. (2015). Meeting the Linguistic Needs of High-Potential English Language Learners. TEACHING Exceptional Children, 47(4), 208–215. https://doi.org/10.1177/0040059915569362

Punar Özçelik, N., & Yangın Ekşi, G. (2024). Cultivating writing skills: the role of ChatGPT as a learning assistant—a case study. Smart Learning Environments, 11(1), 10. https://doi.org/10.1186/s40561-024-00296-8

Rodríguez-Arancón, P. (2023). Developing L2 Intercultural Competence in an Online Context through Didactic Audiovisual Translation.

Languages, 8(3), 160. https://doi.org/10.3390/languages8030160

Roy-Campbell, Z. M. (n.d.). Teaching English as a “Second Language” In Kenya and the United States: Convergences and Divergences Keywords.

Shaikh, S., Yayilgan, S. Y., Klimova, B., & 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

Shin, D., Kim, H., Lee, J. H., & Yang, H. (2021). Exploring the use of an artificial intelligence chatbot as second language conversation partners*. Korean Journal of English Language and Linguistics, 2021(21), 375–391. https://doi.org/10.15738/kjell.21..202104.375

Timpe-Laughlin, V., & Dombi, J. (2020). Exploring L2 learners’ request behavior in a multi-turn conversation with a fully automated agent. Intercultural Pragmatics, 17(2), 221–257. https://doi.org/10.1515/ip-2020-0010

Vency, H. J., & Ramganesh, E. (2013). Is Language Proficiency Taken Care of at Higher Education Level? Need for Self Efficacy of Post Graduate Students. Journal of Language Teaching and Research, 4(6). https://doi.org/10.4304/jltr.4.6.1176-1183

Xiao, Y., & Zhi, Y. (2023). An Exploratory Study of EFL Learners’ Use of ChatGPT for Language Learning Tasks: Experience and Perceptions. Languages, 8(3), 212. https://doi.org/10.3390/languages8030212

Yang, Z., Li, L., Wang, J., Lin, K., Azarnasab, E., Ahmed, F., Liu, Z., Liu, C., Zeng, M., & Wang, L. (2023). MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Action. http://arxiv.org/abs/2303.11381

Young, J. C., & Shishido, M. (n.d.). Investigating OpenAI’s ChatGPT Potentials in Generating Chatbot’s Dialogue for English as a Foreign Language Learning. In IJACSA) International Journal of Advanced Computer Science and Applications (Vol. 14, Issue 6). www.ijacsa.thesai.org




DOI: https://doi.org/10.26618/exposure.v14i1.16702

Refbacks

  • There are currently no refbacks.


Copyright (c) 2025 EXPOSURE : JURNAL PENDIDIKAN BAHASA INGGRIS

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

© All rights reserved 2023. Exposure: Jurnal Pendidikan Bahasa dan Sastra Inggris (ISSN Print: 2252-7818), (ISSN Online: 2502-3543)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.