Tech-Transformed Teaching: The Influence of AI Writing Tools and Blended Learning on Rural Education

Authors

Kamarullah Kamarullah Universitas Muhammadiyah Mahakarya Aceh
Muhammad Arif Fadhilah Universitas Samudra https://orcid.org/0000-0002-3234-0777
Humaira Syahmidi Universitas Muhammadiyah Mahakarya Aceh https://orcid.org/0009-0004-4056-4043
Ranti Maulya Universitas Muhammadiyah Mahakarya Aceh
Barep Sarinauli Universitas Muhammadiyah Mahakarya Aceh https://orcid.org/0000-0003-1073-2320

DOI:

https://doi.org/10.32528/ellite.v9i2.2504

Keywords:

AI, Writing tools, Blended learning, Teaching writing

Abstract

This study investigates the impact of AI Writing Tools (AIWT) and Blended Learning (BL) on the writing skills of students in rural educational settings and explores the adaptations required by teachers to effectively integrate these technologies. Using a mixed-methods approach, the research assesses how AIWT and BL enhance English writing proficiency among high school students and identifies the infrastructural and pedagogical challenges faced by English teachers. The findings reveal that AIWT and BL significantly improve student engagement and writing quality by providing personalized feedback and fostering more interactive learning environments. The students showed marked improvements in grammar, vocabulary, and overall coherence in their writing. However, the research also highlights challenges such as variable technological proficiency among teachers and infrastructural limitations in rural schools. The study emphasizes the necessity for targeted professional development and infrastructure enhancements to fully leverage the benefits of AIWT and BL in rural educational settings. It suggests that effective integration of technology requires not only technological tools but also comprehensive support systems to assist teachers in overcoming adaptation challenges. These findings offer critical insights for policymakers and educational leaders to develop strategies that support the sustainable implementation of educational technologies, thereby optimizing learning outcomes in underserved regions.

References

Alowayid, R. (2020). ‘Tutoring Is not proofreading’. Exploring the perceptions of writing tutors at university writing centres, Saudi Arabia: An exploratory study. English Language Teaching, 13(12), 5. https://doi.org/10.5539/elt.v13n12p5

Burkhard, M. (2022). Student Perceptions of AI-powered Writing Tools: Towards Individualized Teaching Strategies. Proceeedings of the 19th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2022), 73–81. https://doi.org/10.33965/CELDA2022_202207L010

Chang, C. C., Yan, C. F., & Tseng, J. S. (2012). Perceived convenience in an extended technology acceptance model: Mobile technology and English learning for college students. Australasian Journal of Educational Technology, 28(5), 809–826. https://doi.org/10.14742/ajet.818

Chong, L., Raina, A., Goucher-Lambert, K., Kotovsky, K., & Cagan, J. (2023). The evolution and impact of human confidence in artificial intelligence and in themselves on AI-assisted decision-making in design. Journal of Mechanical Design, 145(3). https://doi.org/10.1115/1.4055123

Cohen, L., Manion, L., & Morrison, K. (2007). Research methods in education. Routledge.

Creswell, J. W., & Creswell, J. D. (2022). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (6th ed.). SAGE Publications Inc.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008

Divekar*, R. R., Drozdal*, J., Chabot*, S., Zhou, Y., Su, H., Chen, Y., Zhu, H., Hendler, J. A., & Braasch, J. (2022). Foreign language acquisition via artificial intelligence and extended reality: design and evaluation. Computer Assisted Language Learning, 35(9), 2332–2360. https://doi.org/10.1080/09588221.2021.1879162

Hapsari, I. P., & Wu, T.-T. (2022). AI Chatbots Learning Model in English Speaking Skill: Alleviating Speaking Anxiety, Boosting Enjoyment, and Fostering Critical Thinking. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 13449, pp. 444–453). https://doi.org/10.1007/978-3-031-15273-3_49

Heift, T. (2021). Intelligent Computer Assisted Language Learning. In H. Mohebbi & C. Coombe (Eds.), Research Questions in Language Education and Applied Linguistics (pp. 655–658). Springer. https://doi.org/10.1007/978-3-030-79143-8_114

Kamarullah, K., Nuraini, K., & Susanti, A. (2024). To use or not to use ChatGPT in abstracting? AI usage among lecturers. International Social Sciences and Humanities, 351–360. https://doi.org/10.32528/issh.v3i2.612

Kamarullah, K., Yusuf, Q., & Meutia, C. I. (2016). The use of Quipper School with computer-assisted language earning (CALL) for teaching ESL writing. First Reciprocal Graduate Research Symposium between Universiti Pendidikan Sultan Idris and Universitas Syiah Kuala, 100, 166–178. http://jurnal.unsyiah.ac.id/EEIC/article/view/15835/11663

Kelly, A., Sullivan, M., & Strampel, K. (2023). Generative artificial intelligence: University student awareness, experience, and confidence in use across disciplines. Journal of University Teaching and Learning Practice, 20(6). https://doi.org/10.53761/1.20.6.12

Liu, M. (2013). Blended Learning in a University EFL Writing Course: Description and Evaluation. Journal of Language Teaching and Research, 4(2), 301–309. https://doi.org/10.4304/jltr.4.2.301-309

Long, D., Padiyath, A., Teachey, A., & Magerko, B. (2021). The role of collaboration, creativity, and embodiment in AI learning experiences. Creativity and Cognition, 1–10. https://doi.org/10.1145/3450741.3465264

Marzuki, Widiati, U., Rusdin, D., Darwin, & Indrawati, I. (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.2023.2236469

Menggo, S., & Darong, H. C. (2022). Blended Learning in ESL/EFL Class. LLT Journal: A Journal on Language and Language Teaching, 25(1), 132–148. https://doi.org/10.24071/llt.v25i1.4159

Muchsin, M. A., Manan, A., Pratiwi, S. H., Salasiyah, C. I., & Kamarullah, K. (2022). An Overview of Inclusive Education in Eastern Aceh, Indonesia: What do the Educational Elements Say? Jurnal Ilmiah Peuradeun, 10(2), 297. https://doi.org/10.26811/peuradeun.v10i2.631

Park, J. (2019). An AI-based English Grammar Checker vs. Human Raters in Evaluating EFL Learners’ Writing. Multimedia-Assisted Language Learning, 22(1), 112–131. https://doi.org/10.15702/mall.2019.22.1.112

Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development. https://repositorio.minedu.gob.pe/handle/20.500.12799/6533

Peterson, S. S. (2011). Teaching writing in rural Canadian classrooms. Literacy Learning : The Middle Years, 10(1), 39–48.

Poedjiastutie, D., Mayaputri, V., & Arifani, Y. (2021). Socio-cultural challenges of English teaching in remote areas of Indonesia. TEFLIN Journal - A Publication on the Teaching and Learning of English, 32(1), 97–116. https://doi.org/10.15639/teflinjournal.v32i1/97-116

Qi, S., Liu, L., Kumar, B. S., & Prathik, A. (2022). An English teaching quality evaluation model based on Gaussian process machine learning. Expert Systems, 39(6). https://doi.org/10.1111/exsy.12861

Qiu, X., & Sun, Z. (2017). Developing a blended learning model in an EFL class. International Journal of Continuing Engineering Education and Life-Long Learning, 27(1/2), 4. https://doi.org/10.1504/IJCEELL.2017.10001979

Sandu, N., & Gide, E. (2019). Adoption of AI-Chatbots to Enhance Student Learning Experience in Higher Education in India. 2019 18th International Conference on Information Technology Based Higher Education and Training (ITHET), 1–5. https://doi.org/10.1109/ITHET46829.2019.8937382

Schwartz, H. J. (1984). Teaching Writing with Computer Aids. College English, 46(3), 239. https://doi.org/10.2307/377031

Sumakul, D. T. Y. G., Hamied, F. A., & Sukyadi, D. (2022). Students’ perceptions of the use of AI in a writing class. Proceedings of the 67th TEFLIN International Virtual Conference & the 9th ICOELT 2021 (TEFLIN ICOELT 2021), 52–57. https://doi.org/10.2991/assehr.k.220201.009

Toncic, J. (2020). Teachers, AI grammar checkers, and the newest literacies: Emending writing pedagogy and assessment. Digital Culture & Education, 12(1), 26–51.

Turmudi, D. (2020). Utilizing a web-based technology in blended EFL academic writing classes for university students. Journal of Physics: Conference Series, 1517(1), 012063. https://doi.org/10.1088/1742-6596/1517/1/012063

Wischnowski, M. W., Salmon, S. J., & Eaton, K. (2004). Evaluating Co-teaching as a Means for Successful Inclusion of Students with Disabilities in a Rural District. Rural Special Education Quarterly, 23(3), 3–14. https://doi.org/10.1177/875687050402300302

Yulia, Y., & Amirudin, S. (2020). Technology to develop student writing skill: a portrait of english language teaching in remote area. International Conference on Technology and Vocational Teachers (ICTVT), 1833(1), 012035. https://doi.org/10.1088/1742-6596/1833/1/012035

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ELLITE: Journal of English Language, Literature, and Teaching