AI-Based English Module for Accounting Students
Lely Indah Kurnia*
Bimo Setyawan
Rizqi Khoirunisa
Ahmad Mustofa
Veri Hardinansyah Dja’far
Subekhi Hadi Purnomo
Artificial Intelligence (AI) has significantly transformed education and language learning by creating more interactive, personalized, and adaptive learning environments. Within the field of English for Specific Purposes (ESP), especially for accounting students, there is an increasing need for learning modules that combine discipline-based content with advanced educational technology. However, existing resources remain limited and often fail to meet the specific linguistic and professional demands of vocational learners. This study aimed to design and evaluate an AI-based English module tailored to the needs of accounting students. Employing a Research and Development (R&D) approach using the ADDIE model (Analysis, Design, Development, Implementation, and Evaluation), the research involved need analysis, expert validation, small-group testing, and field implementation. The findings revealed that the module achieved a high feasibility rating from experts (87.2%), significantly improved students’ English achievement (from a pre-test mean of 62.4 to a post-test mean of 80.7, p < 0.05), and received positive responses from users. Most students reported improved comprehension of accounting terms, enhanced confidence in professional communication, and satisfaction with AI-integrated features such as chatbot interaction and speech recognition. These results indicate that the AI-based module is pedagogically effective, technologically interactive, and contextually relevant to vocational English education. Theoretically, this study contributes to ESP pedagogy, while practically, it offers a model for integrating AI-assisted learning in higher education contexts.
Al-Tamimi, A., & Shuib, M. (2009). Motivation and attitudes towards learning English: A study of petroleum engineering undergraduates at Hadhramout University of Sciences and Technology. GEMA Online Journal of Language Studies, 9(2), 29–55.
Belcher, D. (2009). What ESP is and can be: An introduction. English for Specific Purposes in Theory and Practice, 1–20.
Bennett, N., Borg, W. R., & Gall, M. D. (1984). Educational Research: An Introduction. British Journal of Educational Studies, 32(3), 274. https://doi.org/10.2307/3121583
Branch, R. M. (2009). Instructional Design: The ADDIE Approach. Springer US. https://doi.org/10.1007/978-0-387-09506-6
Dudley-Evans, T., & John, M. J. S. (1998). Developments in English for Specific Purposes. Cambridge University Press.
Gall, M. D., Gall, J. P., & Borg, W. R. (2007). Educational Research: An Introduction. Pearson/Allyn & Bacon.
Hegelheimer, V., & Tower, D. (2004). Using CALL in the classroom: Analyzing student interactions in an authentic classroom. System, 32(2), 185–205. https://doi.org/10.1016/j.system.2003.11.007
Hutchinson, T., & Waters, A. (1987). English for specific purposes. Cambridge university press.
Kristiawan, D., Bashar, K., & Pradana, D. A. (2024). Artificial intelligence in English language learning: A systematic review of AI tools, applications, and pedagogical outcomes. The Art of Teaching English as a Foreign Language (TATEFL), 5(2), 207–218.
Kuaiber, M. Q., Ali, Z. N., Al-Yasiri, A. J., Kareem, A. J., Al, M. A., & Almagtome, A. (2024). Automation and the future of accounting: a study of AI integration in financial reporting. 2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS), 1, 1–6.
Luckin, R. (2017). Towards artificial intelligence-based assessment systems. Nature Human Behaviour, 1(3), 0028. https://doi.org/10.1038/s41562-016-0028
Maspufah, M., Asril, L. Z., Zuriati, D., & Fathira, V. (2024). Teknologi Artificial Intelligence (AI) dalam Meningkatkan Pengalaman Belajar bahasa Inggris. Sociali: Jurnal Pengabdian Kepada Masyarakat, 2(2), 116–125. https://doi.org/https://journal.unilak.ac.id/index.php/sociali/article/view/21575
Sreseli, N. (2023). Use of artificial intelligence for accounting and financial reporting purposes: A review of the key issues. American International Journal of Business Management (AIJBM), 6(8), 72–83.
Sugiyono. (2017). Metode penelitian dan pengembangan untuk bidang pendidikan, manajemen, sosial, teknik : Research and development/ R&D. Alfabeta.
Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIEd for personalised learning pathways. Electronic Journal of E-Learning, 20(5), 639–653.
Xu, Y., & Warschauer, M. (2019). Young Children’s Reading and Learning with Conversational Agents. Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 1–8. https://doi.org/10.1145/3290607.3299035
Zhang, Y. (2025). Exploring the Role of AI‐Mediated L2 Education in Chinese EFL Teachers’ Classroom Rapport With Their Students. European Journal of Education, 60(3), e70142.