THE USE OF ARTIFICIAL INTELLIGENCE IN TEACHING AND ASSESSING GRAMMAR: BASIS FOR DEVELOPING A SURVEY QUESTIONNAIRE
DOI:
https://doi.org/10.46827/ejes.v13i2.6492کلمات کلیدی:
education, Artificial Intelligence, grammar instruction, grammar assessment, Philippinesچکیده
With the growing integration of Artificial Intelligence (AI) in the field of education, language teachers are now navigating new ways to teach and assess students' grammar. However, concerns arise over how AI could change how classrooms work, how students learn, and the role of teachers in instruction. In the context of teaching and assessing grammar, this study determined the perspectives of teachers in utilizing AI tools, how teachers evaluate the effectiveness of AI tools in enhancing students' grammatical proficiency, and the ethical considerations of teachers in utilizing AI tools. Finally, the study aimed to develop a survey questionnaire based on the qualitative findings for future research. Using a qualitative approach, data were collected through semi-structured interviews with 10 language teachers and were analysed thematically. Results showed that teachers perceived AI as a helpful support tool, AI as an unnecessary and unexplored tool, emphasized the importance of teacher-guided use of AI, and critical literacy in AI integration. In terms of effectiveness, AI tools were perceived as effective in detecting basic grammar errors but were seen as ineffective in strengthening grammar skills and handling complex grammar and contextual accuracy. Ethical concerns were also considered, particularly regarding academic integrity, data privacy and security, and the responsible integration of AI in language instruction and assessment. The results imply that there is a need for AI literacy training and ethical policy integration to help teachers maintain pedagogical balance while responsibly guiding students' use of AI in grammar instruction and assessment. From this, better strategies and guidelines can be developed to support meaningful and responsible use of AI tools in tertiary language education.
Article visualizations:
مراجع
Akinwalere, S. N., & Ivanov, V. (2022). Artificial intelligence in higher education: Challenges and opportunities. Border Crossing, 12(1), 1–15. https://doi.org/10.33182/bc.v12i1.2015
Ally, M. (2019). Competency profile of the digital and online teacher in future education. The International Review of Research in Open and Distributed Learning, 20(2). https://doi.org/10.19173/irrodl.v20i2.420
Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. https://doi.org/10.61969/jai.1337500
Baskara, & Mukarto, R. (2023). Exploring the implications of ChatGPT for language learning in higher education. https://eric.ed.gov/?id=EJ1391490
Benazir, E., & Rafique, R. (2025). Teachers’ experiences of using AI-powered technologies in Bangladeshi English language classrooms. Spectrum, 18, 89–100. https://doi.org/10.3329/spectrum.v18i1.76362
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
Casal-Otero, L., Catala, A., Fernández-Morante, C., & Taboada, M. (2023). AI literacy in K-12: A systematic literature review. International Journal of STEM Education, 10(1). https://doi.org/10.1186/s40594-023-00418-7
Cassidy, M. (2023). Navigating AI in higher education: ChatGPT and cheating, implications for teaching and learning. Journal of Teaching and Learning, 17(2), 24–36.
Creswell, J. W. (2014). Research design: Qualitative, quantitative and mixed methods approach (4th ed.). SAGE.
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approach (5th ed.). SAGE. Retrieved from https://books.google.ro/books/about/Research_Design.html?id=bttwENORfhgC&redir_esc=y
Cotton, D. R., Cotton, P. A., & Shipway, J. R. (2023). Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International, 1–12. https://doi.org/10.1080/14703297.2023.2238268
de Winter, J. C. (2024). Can ChatGPT pass high school exams on English language comprehension? International Journal of Artificial Intelligence in Education, 34, 915–930. https://doi.org/10.1007/s40593-023-00372-z
Dien, J. (2023). Editorial: Generative artificial intelligence as a plagiarism problem. Biological Psychology, 181, 108621. https://doi.org/10.1016/j.biopsycho.2023.108621
Dincer, S. (2018). Are preservice teachers really literate enough to integrate technology in their classroom practice? Determining the technology literacy level of preservice teachers. Education and Information Technologies, 23(6), 2699–2718. https://doi.org/10.1007/s10639-018-9737-z
Dhanapal, S., Yi, M. R. L., Gan, A. W. L., & Kim, J. C. S. (2024). Readiness and perceptions of business lecturers on generative AI and ChatGPT for tertiary education in Malaysia and Singapore. The International Journal of Management Education, 22(1), 100837.
Dugosija, T. (2024). Benefits and challenges of artificial intelligence in English language teaching. Knowledge International Journal, 62(2), 275–280. Retrieved from https://www.researchgate.net/publication/381127131_BENEFITS_AND_CHALLENGES_OF_ARTIFICIAL_INTELLIGENCE_IN_ENGLISH_LANGUAGE_TEACHING
Eke, D. (2023). ChatGPT and the rise of generative AI: Threat to academic integrity? Journal of Responsible Technology. https://doi.org/10.1016/j.jrt.2023.100060
Estrellado, C. J., & Miranda, J. C. (2023). Artificial intelligence in the Philippine educational context: Circumspection and future inquiries. https://doi.org/10.29322/IJSRP.13.04.2023.p13704
Firat, M. (2023). What ChatGPT means for universities: Perceptions of scholars and students. Journal of Applied Learning and Teaching, 6(1), 57–63. https://doi.org/10.37074/jalt.2023.6.1.22
Fitria, T. N. (2023). Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay. ELT Forum: Journal of English Language Teaching, 12(1), 44–58. https://doi.org/10.15294/elt.v12i1.64069
Giray, L., De Silos, P. Y., Adornado, A., & Jan, R. (2024). Use and impact of artificial intelligence in Philippine higher education: Reflections from instructors and administrators. Internet Reference Services Quarterly, 28(2). Retrieved from https://doi.org/10.1080/10875301.2024.2352746
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. https://doi.org/10.1016/j.tbench.2023.100089
Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 32(2), 504–526.
Kasneci, E., Sessler, K., Kuchemann, S., Bannert, M., Dementieva, D. D., Fischer, F., ... & Stadler, M. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. https://doi.org/10.35542/osf.io/5er8f
Lee, D., Arnold, M., Srivastava, A., Plastow, K., Strelan, P., Ploeckl, F., Lekkas, D., & Palmer, E. (2024). The impact of generative AI on higher education learning and teaching: A study of educators’ perspectives. Computers and Education: Artificial Intelligence, 6. https://doi.org/10.1016/j.caeai.2024.100221
Lidén, A., & Nilros, K. (2020). Perceived benefits and limitations of chatbots in higher education. Retrieved from https://www.diva-portal.org/smash/get/diva2:1442044/FULLTEXT01.pdf
Lin, P., & Van Brummelen, J. R. (2021). Engaging teachers to co-design integrated AI curriculum for K-12 classrooms. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1–12). Association for Computing Machinery. https://doi.org/10.1145/3411764.3445377
Lindner, A., & Romeike, R. (2019). Teachers’ perspectives on artificial intelligence. In ISSEP 2019: 12th International Conference on Informatics in Schools. Retrieved from https://www.researchgate.net/publication/337716601_Teachers'_Perspectives_on_Artificial_Intelligence
Lund, B., & Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26–29. https://doi.org/10.1108/LHTN-01-2023-0009
McGrath, C., Cerratto Pargman, T., Juth, N., & Palmgren, P. J. (2023). University teachers’ perceptions of responsibility and artificial intelligence in higher education: An experimental philosophical study. Computers and Education: Artificial Intelligence, 4. https://doi.org/10.1016/j.caeai.2023.100139
Martel, C., Pennycook, G., & Rand, D. G. (2023). Reliance on AI chatbots reduces the accuracy of high-performing individuals. Scientific Reports, 13(1), 18565. https://doi.org/10.1038/s41598-023-44642-1
Marzuki, Widiati, U., R., D., & Darwin. (2023). The impact of AI writing tools on the content and organization of students’ writing: EFL teachers’ perspective. Cogent Education, 10(2). https://doi.org/10.1080/2331186X.2023.2222216
Meylani, R. (2024). Artificial intelligence in the education of teachers: A qualitative synthesis of the cutting-edge research literature. Journal of Computer and Education Research, 12(24), 600–637. https://doi.org/10.18009/jcer.1477709
Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Sage Publications.
Moorhouse, B. L. (2024). Beginning and first-year language teachers’ readiness for the generative AI age. Computers and Education: Artificial Intelligence, 6. https://doi.org/10.1016/j.caeai.2024.100201
Nguyen, T. C. (2024). University teachers’ perceptions of using ChatGPT in language teaching and assessment. In Proceedings of the AsiaCALL International Conference (vol. 4, pp. 116–128). https://doi.org/10.54855/paic.2349
Palvik, J. V. (2023). Collaborating with ChatGPT: Considering the implications of generative artificial intelligence for journalism and media education. Journalism & Mass Communication Educator 78(1). https://doi.org/10.1177/10776958221149577
Putra, M. (2023). AI writing correction tools: Teachers' and students’ perception. Jurnal Tatsqif, 21(1), 35–66. https://doi.org/10.20414/jtq.v21i1.7963
Rochelle, S., & Sushith. (2024). Exploring the AI era: A comparative analysis of AI-driven education and traditional teaching methods. International Journal of Formal and Multidisciplinary Research, 6(4). https://www.ijfmr.com/papers/2024/4/24635.pdf
Ruane, E., Birhane, A., & Ventresque, A. (2019). Conversational AI: Social and ethical considerations. In AICS - 27th AI Irish Conference on Artificial Intelligence and Cognitive Science, Galway, Ireland. Retrieved from https://ceur-ws.org/Vol-2563/aics_12.pdf
Sanusi, I. T., Oyelere, S. S., & Omidiora, J. O. (2022). Exploring teachers’ preconceptions of teaching machine learning in high school: A preliminary insight from Africa. Computers and Education: Open, 3(4). https://doi.org/10.1016/j.caeo.2021.100072
Seo, K., Tang, J., Roll, I., & Fels, S. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education. https://doi.org/10.1186/s41239-021-00292-9
Seufert, S., Guggemos, J., & Sailer, M. (2021). Technology-related knowledge, skills, and attitudes of pre- and in-service teachers: The current situation and emerging trends. Computers in Human Behavior, 115. https://doi.org/10.1016/j.chb.2020.106552
Sporrong, E., McGrath, C., & Cerratto Pargman, T. (2024). Situating AI in assessment—An exploration of university teachers’ valuing practices. https://doi.org/10.1007/s43681-024-00558-8
Tan, X., Cheng, G., & Ling, M. H. (2024). Artificial intelligence in teaching and teacher professional development: A systematic review. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2024.100355
Taylor, P. (2024). Challenges of using AI to give feedback and grade students (opinion). Inside Higher Ed. https://www.insidehighered.com/opinion/career-advice/teaching/2024/09/06/challenges-using-ai-give-feedback-and-grade-students
UNESCO. (2015). Rethinking education: Towards a global compact on learning. UNESCO Publishing. Retrieved from https://unesdoc.unesco.org/ark:/48223/pf0000232555
Walter, Y. (2024). Embracing the future of artificial intelligence in the classroom: The relevance of AI literacy, prompt engineering, and critical thinking in modern education. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00448-3
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2022). Systematic review of research on artificial intelligence applications in higher education – Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 1–27. https://doi.org/10.1186/s41239-019-0171-0
Zulkarnain, N. S., & Yunus, M. M. (2023). Primary teachers’ perspectives on using artificial intelligence technology in English as a second language teaching and learning: A systematic review. International Journal of Academic Research in Progressive Education and Development, 12(2). https://doi.org/10.6007/IJARPED/v12-i2/17119
دانلودها
چاپ شده
شماره
نوع مقاله
مجوز
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement 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 acknowledgement 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).


