EFL Teachers' Perspectives on the Integration of ChatGPT in Writing Assessment
DOI:
https://doi.org/10.23887/jpbi.v12i1.78618Keywords:
AI technology, ChatGPT, EFL, teacher perspectives, writing assessmentAbstract
The existence of ChatGPT as a great technology development is considered as a teaching media used for providing immediate feedback in assessing students’ writing performance indirectly enhancing their writing skills as well. This study aimed to analyze EFL teachers’ perspective on the integration of ChatGPT in writing assessment. Qualitative approach was used as the research design of the current study. There were two English teachers who taught 11th grade students. They were selected by using purposive sampling. The data were obtained through observation, and semi-structured interview. Observation sheet and interview guide were used as the research instruments. The collected data were analyzed by conducting verbatim transcription and coding. The findings revealed that there were positive and negative perspectives given by the teachers. It was shown that the teachers were positively response due to the excitement of using ChatGPT in easing the feedback provision meanwhile the negative response revealed that the teachers expressed reservations about its validity. The ethical privacy issue, data protection, and prejudice were mentioned as the challenge due to its implementation. It was added that assessment effectiveness, immediate feedback, and assistance outside the classroom were acknowledged as the benefits of implementing ChatGPT. The study implicates to the educational assessment-based technology. Teachers are required to have proper training to face the integration of technology in their assessment since it can have an impact as well as challenges for them.
References
Ahdhianto, E., Marsigit, Haryanto, & Nurfauzi, Y. (2020). Improving Fifth-Grade Students’ Mathematical Problem-solving and Critical Thinking Skills Using Problem-Based Learning. Universal Journal of Educational Research, 8(5), 2012–2021. https://doi.org/10.13189/ujer.2020.080539.
ai, S., Sun, B., Wu, F., & Xiao, R. (2020). Automatic Personality Identification Using Students’ Online Learning Behavior. IEEE Transactions on Learning Technologies, 13(1), 26–37. https://doi.org/10.1109/tlt.2019.2924223.
Akkus, R., Gunel, M., & Hand, B. (2007). Comparing an inquiry‐based approach known as the science writing heuristic to traditional science teaching practices: Are there differences? International Journal of Science Education, 29(14), 1745–1765. https://doi.org/10.1080/09500690601075629.
Alam, A. (2022). A Digital Game based Learning Approach for Effective Curriculum Transaction for Teaching-Learning of Artificial Intelligence and Machine Learning. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 69–74. https://doi.org/10.1109/ICSCDS53736.2022.9760932.
Baskara, F. R. (2023). Integrating ChatGPT into EFL writing instruction : Benefits and challenges. International Journal of Education and Learning, 5(1), 44–55. https://repository.usd.ac.id/46683/1/9773_858-3369-2-PB.pdf.
Bilqis, Syachruroji, A., & Taufik, M. (2016). Perbedaan Hasil Belajar Siswa pada Mata Pelajaran Ilmu Pengetahuan Alam antara Model Problem Based Learning dengan Model Pembelajaran Langsung. JPSD (Jurnal Pendidikan Sekolah Dasar), 2(2), 147–155. https://doi.org/10.30870/jpsd.v2i2.794.
Cheong, W., & Hong, H. (2023). The impact of ChatGPT on foreign language teaching and learning : Opportunities in education and research. Journal of Educational Technology and Innovation, 3(1), 37–45. https://doi.org/10.61414/jeti.v5i1.103.
Cohen, J., Wong, V., Krishnamachari, A., & Berlin, R. (2020). Teacher coaching in a simulated environment. Educational Evaluation and Policy Analysis, 42(2), 208–231. https://doi.org/10.3102/0162373720906217.
Cole, J., & Feng, J. (2015). Effective strategies for improving writing skills of elementary English language learners. Chinese American Educational Research and Development Association Annual Conference, 1–25. https://eric.ed.gov/?id=ED556123.
Groenewald, T. (2004). A Phenomenological Research Design Illustrated. International Journal of Qualitative Methods. https://doi.org/10.1177/160940690400300104.
Haldorai, A., Murugan, S., & Ramu, A. (2021). Evolution, challenges, and application of intelligent ICT education: An overview. Computer Applications in Engineering Education, 29(3), 562–571. https://doi.org/10.1002/cae.22217.
Haleem, A., Javaid, M., & Singh, R. P. (2022). An era of ChatGPT as a significant futuristic support tool: A study on features, abilities, and challenges. BenchCouncil Transactions on Benchmarks, Standards and Evaluations, 2(4), 100089.1-8. https://doi.org/10.1016/j.tbench.2023.100089.
Hang, N. T. T. (2023). EFL teachers’ perception toward the use of chatGPT in writing classes: A case study at Van Lang University. International Journal of Language Instruction, 2(3), 1–47. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4519180.
Ihsan, F., Suharno, S., & Wardani, N. S. (2020). The Analysis of Students’Readiness of Vocational Education in Facing the Opportunities and Threats on the Industrial Revolution 4.0. Journal of Mechanical Engineering and Vocational Education, 3(2), 91–97. https://doi.org/10.20961/jomeve.v3i2.46016.
Ivanović, M., Putnik, Z., Komlenov, Ž., Welzer, T., Hölbl, M., & Schweighofer, T. (2013). Usability and privacy aspects of moodle: Students’ and teachers’ perspective. Informatica (Slovenia), 37(3), 221–230. https://www.informatica.si/index.php/informatica/article/download/451/455.
Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103(February). https://doi.org/10.1016/j.lindif.2023.102274.
Kostyrka-Allchorne, K., Cooper, N. R., & Simpson, A. (2017). The relationship between television exposure and children’s cognition and behaviour: A systematic review. Developmental Review, 44, 19–58. https://doi.org/10.1016/j.dr.2016.12.002.
Kumar, V., & Nanda, P. (2019). Social media in higher education: A framework for continuous engagement. International Journal of Information and Communication Technology Education (IJICTE), 1, 5(1), 97–108. https://doi.org/10.4018/IJICTE.2019010107.
Lampropoulos, G., Siakas, K., & Anastasiadis, T. (2019). Internet of Things in the Context of Industry 4.0: An Overview. International Journal of Entrepreneurial Knowledge, 7(1), 4–19. https://doi.org/10.2478/ijek-2019-0001.
Merta, L. W. S., Ratminingsih, N. M., & Budasi, I. G. (2023). The Integration of Technology in English Language Teaching to Stimulate Students ’ Critical Thinking. Language Circle: Journal of Language and Literature, 17(2), 1–9. https://doi.org/10.15294/lc.v17i2.39097.
Nardo, J. E., Chapman, N. C., Shi, E. Y., Wieman, C., & Salehi, S. (2022). Perspectives on Active Learning: Challenges for Equitable Active Learning Implementation. Journal of Chemical Education, 99(4), 1691–1699. https://doi.org/10.1021/acs.jchemed.1c01233.
Peng, K. H., Huang, Y. F., & Yao, J. M. (2018). Comparison of automatic test paper generation for database technology course based on various artificial intelligence algorithms. Computer System Application, 27(3), 210–216. https://ieeexplore.ieee.org/abstract/document/6295121/.
Rahma, A., & Fithriani, R. (2024). The potential impact of using chatGPT on EFL students’ writing: Teachers’ perspective. Indonesian EFL Journal (IEFLJ), 10(1), 11–20. https://doi.org/10.25134/ieflj.v10i1.9222.
Saifudin, A., Setiawan, S., & Anam, S. (2020). The Implementation of Task Based Learning in Teaching Writing Descriptive Text to The Junior High School. Linguistic, English Education and Art (LEEA) Journal, 4(1), 109–125. https://doi.org/10.31539/leea.v4i1.1351.
Sajed, S., Arefi, F., Kolahdouz, M., & Sadeghi, M. A. (2019). Improving sensitivity of mercury detection using learning based smartphone colorimetry. Sensors and Actuators, B: Chemical, 298. https://doi.org/10.1016/j.snb.2019.126942.
Sefriani, R., & Sepriana, R. (2022). Technology Acceptance Model : the use of E-Study Aplications in. Journal of Education Technology, 6(4), 704–710. https://doi.org/10.23887/jet.v6i4.45457.
Shakil, E., & Siddiq, S. (2024). ESL teachers’ perception about ChatGPT as a threat to analytical writing abilities of ESL learners at graduate level. Pakistan Languages and Humanities Review, 8(1), 115–128. https://doi.org/10.47205/plhr.2024(8-I)10.
Song, Z. (2019). Investigating Chinese EFL College Students ’ Writing Through the Web-Automatic Writing Evaluation Program. English Language and Literature Studies, 9(3), 20–28. https://doi.org/10.5539/ells.v9n3p20.
Sorgog, K., & Kamo, M. (2019). Ecotoxicology and Environmental Safety Quantifying the precision of ecological risk : Conventional assessment factor method vs . species sensitivity distribution method. Ecotoxicology and Environmental Safety, 183(July), 109494. https://doi.org/10.1016/j.ecoenv.2019.109494.
Turmuzi, M., Suharta, I. G. P., Astawa, I. W. P., & Suparta, I. N. (2024). Perceptions of primary school teacher education students to the use of chatGPT to support learning in the digital era. International Journal of Information and Education Technology, 14(5), 26–30. https://doi.org/10.18178/ijiet.2024.14.5.2097.
Wang, Y., Luo, X., Liu, C., & Tu, Y. (2022). An Integrated Automatic Writing Evaluation and SVVR Approach to Improve Students ’ EFL Writing Performance. Sustainability, 14(11586), 1–19. https://doi.org/10.3390/su141811586.
Williams, U. J., & Dries, D. R. (2022). Supporting Fledgling Scientists: The Importance of Autonomy in a Guided-Inquiry Laboratory Course. Journal of Chemical Education, 99(2), 701–707. https://doi.org/10.1021/acs.jchemed.1c00835.
Yaacob, A., & Lubis, A. H. (2022). The Development of Web-Based Teaching Materials Integrated with Indonesian Folklore for Indonesian Language for Foreign Speakers Students. International Journal of Language Education, 6(1), 46–62. https://eric.ed.gov/?id=EJ1343101.
Yadav, S., & Yadav, R. (2024). A comprehensive study to analyze the ChatGPT and its impact on students ’ education. Educational Administration: Theory and Practice, 30(6), 1456–1465. https://doi.org/10.53555/kuey.v30i6.5518.
Yang, H., He, Y., Bu, X., & Xu, H. (2023). Automatic essay evaluation technologies in Chinese writing- a systematic literature review. Applied Sciences, 13, 1–23. https://doi.org/10.3390/app131910737.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Kadek Yeyen meyasa
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with the Jurnal Pendidikan Bahasa Inggris Undiksha agree to the following terms:- Authors retain copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work. (See The Effect of Open Access)