The Implementation of Chatgpt as Pedagogical Tool for Vocabulary Learning at Tenth Grade Students of Ma Miftahul Ulum Bettet Pamekasan
DOI:
https://doi.org/10.24256/ideas.v14i1.10264Keywords:
Artificial intelligence, ChatGPT, pedagogical tool, Vocabulary learning, Student engagement.Abstract
This study aims to investigate the implementation of ChatGPT as a pedagogical tool in English vocabulary learning and to explore students' learning experiences in its use. This study used a qualitative approach with a case study design conducted in grades X-I at MA Miftahul Ulum Bettet Pamekasan. Participants consisted of 41 students, with 20 students selected for interviews using simple random sampling. Data were collected through observation, semi-structured interviews, and documentation, and analyzed using qualitative descriptive analysis. The findings indicate that ChatGPT implementation was carried out systematically through three main stages: pre-activity, during-activity, and post-activity. During the during-activity stage, ChatGPT was actively used for vocabulary practice, prompt creation, and interactive quizzes, which encouraged student-centered and collaborative learning. Furthermore, the results indicate that students' learning experiences can be categorized into cognitive, positive, and effective aspects. Cognitively, ChatGPT facilitated better vocabulary comprehension and retention through repetition and contextual learning. Positively, students showed positive attitudes, increased motivation, and higher engagement due to the interactive and enjoyable learning experience. ChatGPT effectively improves learning efficiency by providing immediate feedback and easy access to information. Overall, this study highlights that ChatGPT is not only a technological tool but also an effective pedagogical instrument that improves vocabulary acquisition and student engagement. These findings suggest that integrating AI-based tools into language learning can significantly improve instruction quality and support a more interactive and meaningful learning environment.
References
Bannert, M., Kasneci, E., Sessler, K., Stefan, K., Fischer, F., Gasser, U., Groh, G., Stephan, G., Poquet, O., Sailer, M., Schmidt, A., & Seidel, T. (2023). ChatGPT for Good ? On Opportunities and Challenges of Large Language Models for Education. 1–13.
Borgstede, M., & Scholz, M. (2021). Quantitative and Qualitative Approaches to Generalization and Replication–A Representationalist View. Frontiers in Psychology, 12(February), 1–9. https://doi.org/10.3389/fpsyg.2021.605191
Chun, J., Kim, J., Kim, H., Lee, G., Cho, S., Kim, C., Chung, Y., & Heo, S. (2025). A Comparative Analysis of On-Device AI-Driven , Self-Regulated Learning and Traditional Pedagogy in University Health Sciences Education.
Creswell, J. W., & Poth, C. N. (2023). Qualitative inquiry and research design: Choosing among five approaches (5th ed.).
Doryei. (2001). Recensione a cura di Paolo Torresan AUTORE : Zoltan Dörnyei TITOLO : Motivational Strategies in the Language Classroom CITTÀ : Cambridge EDITORE : Cambridge University Press ANNO : 2001. 1987.
Durazno Abril, B. V., Díaz Carlosama, K. M., & Zambrano Pachay, J. F. (2025). Exploring the Effect of ChatGPT as an Educational Tool to Improve Vocabulary Acquisition in the English Language. Ciencia Latina Revista Científica Multidisciplinar, 9(1), 4874–4886. https://doi.org/10.37811/cl_rcm.v9i1.16190
Dwivedi, Y. K. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges, and implications of generative AI for research, practice, and policy.
Dwivedi, Y. K., Kshetri, N., Hughes, L., Louise, E., Jeyaraj, A., Kumar, A., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Ahmad, M., Al-busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). International Journal of Information Management Opinion Paper : “ So what if ChatGPT wrote it ? ” Multidisciplinary perspectives on opportunities , challenges and implications of generative conversational AI for research , practice and policy ☆. 71(March). https://doi.org/10.1016/j.ijinfomgt.2023.102642
Farrokhnia, M., Banihashem, S. K., & Noroozi, O. (2024). A SWOT analysis of ChatGPT : Implications for educational practice and research A SWOT analysis of ChatGPT : Implications for educational practice and research. Innovations in Education and Teaching International, 61(3), 460–474. https://doi.org/10.1080/14703297.2023.2195846
Hasibuan, A. Z., Asih, M. S., Syahputra, I., Fadhilla, C. A., & Gunawan, C. R. (2025). Transformasi Cara Belajar Siswa dengan Teknologi AI di Genggaman Menggunakan ChatGPT. Jurnal Hasil Pengabdian Masyarakat (JURIBMAS), 3(3), 188–194. https://doi.org/10.62712/juribmas.v3i3.336
Huang, D., Huang, Y., & Cummings, J. J. (2024). Exploring the integration and utilisation of generative AI in formative e-assessments : A case study in higher education. 40(4), 1–19.
Kurniawan, M. A., Husain, N., Badu, H., & Ibrahim, M. S. (2025). The Effectiveness of ChatGPT Usage in Enhancing Students ’ Vocabulary. 1(3), 9–16.
Manchanayaka, M. A. S. P. (2023). Digital Tools in Language Learning : Their Effectiveness , Impact and Challenges. 13(2), 1–13.
Miles. (2020). Qualitative data analysis: A methods sourcebook (4th ed.).
Mulis. (2025). Teaching Strategies for Enhancing Vocabulary Mastery of Indonesian EFL Learners. English Language Teaching Journal, 5(2), 154–161. https://doi.org/10.35897/eltj.v5i2.1888
Nation, I. S. P. (2013). Learning vocabulary in another language. Learning Vocabulary in Another Language, 1–624. https://doi.org/10.1016/s0889-4906(02)00014-5
Rahman, M. (2024). Digital Pedagogical Competence in EFL Teaching: Challenges and Opportunities.
Richards, J. C., & Farrell, T. S. C. (2022). Professional Development for Language Teachers : Strategies for teacher learning. August. https://doi.org/10.1093/elt/ccl014
Siswanto, S., Mirza, A. A., Qamariah, Z., Education, E., Program, S., & Raya, N. P. (2025). The Effect of Using ChatGPT as a Learning Technology on EFL Students ’ Vocabulary Mastery Darul Ulum Palangka Raya . One research questions were addressed : is there any Vocabulary mastery ? The findings are expected to provide insights and practical solu. April.
Stahl, G., Koschmann, T., & Suthers, D. (2006). Computer-supported collaborative learning : An historical perspective.
Syahrial & Dewi. (n.d.). Artificial intelligence in language learning: Shifting from traditional to adaptive and student-centered instruction. 2023.
Seidhofer, B. Understanding, B. S., & Oxford, F. (2012). Understanding English as a Lingua Franca. (Vol. 22, Issue 1).
Yifan, Z. (2024). Artificial Intelligence in Language Instruction : Impact on English Learning Achievement and L2 Motivational Self-System. 2024, 321–326.
Zawacki-richter, O., Marín, V. I., & Bond, M. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators ?
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