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The Effectiveness of a Senior High School English Immersion Program on Graduates Communicative Competence and Academic Achievement in Higher Education Hateenah Ali Sulaiman Yousef; M Muamaroh; Agus Wijayanto; Nur Hidayat; Anam Sutopo; Abdillah Nugroho; Dwi Haryanti
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2025: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Purpose: The purpose of this investigation is to explore the impact of Artificial Intelligence (AI) in English language education, focusing on teachers' perspectives on the positive and negative aspects of implementing AI in EFL classrooms; ways in which AI supports teachers' instructional practices, engages students in learning, and impacts teachers’ own pedagogical practices in addition to the ethical and professional implications of its use.Methodology: This study utilized a descriptive qualitative research methodology. The data were obtained through twelve semi-structured interviews with English language teachers working at one of the private universities in the English department in Indonesia. The participants were intentionally sampled based on their exposure to AI-supported instructional tools. The qualitative data were then analysed thematically to investigate the perceptions teachers had based on recurring themes and categories related to their experiences, challenges, and reflections about AI in education.Results: The findings indicated that AI offers remarkable advantages, including increased teaching efficiency, personalized support for learners, and heightened student motivation. However, the study identified several challenges, including limitations in teacher training, ethical implications related to data collection, technological constraints, and a potential reduction in human interaction. The findings suggest that the effectiveness of AI integration relies not only on teachers but also on administrators, policies, and ethical positions. Applications/Originality/Value: This research sheds light on the human-centered use of AI in language education. Utilizing Humanistic Learning Theory and the TPACK framework, it demonstrates how teachers can uphold empathy, authenticity, and pedagogical balance in the wake of emerging technology. These insights matter for policy design and professional development of eco-sustainable practices for using AI-enhanced instruction.
Indonesian EFL Learners’ Perceptions of ChatGPT’s Translation Readability in Translating English Literary Text Luqman Rosyidy; Anam Sutopo; Dwi Haryanti
Tell : Teaching of English Language and Literature Journal Vol 13 No 2 (2025): September
Publisher : English Department FKIP Universitas Muhammadiyah Surabaya Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/tell.v13i2.25641

Abstract

This study investigated how English as foreign language (EFL) learners in a literary community setting perceived the readability of ChatGPT’s translations in translating an English short story into Indonesian. This research used a short story written by Gerald Murnane entitled The Boy’s Name was David. By using a descriptive qualitative approach, the research explored two questions: the readability score of the translations and learners’ perceptions of this readability. Purposive sampling was employed by involving 18 EFL learners from Kurvadot Creative, a literature discussion community in Cepu, Indonesia. The data were collected through document, questionnaires, and focus group discussions. The readability assessment was analyzed by using Nababan’s Translation Quality Assessment (TQA) framework, while the EFL learners’ perceptions in the discussion was analyzed by using thematic analysis. The results revealed that learners generally rated the ChatGPT translations as Readable, with an average score of 2.68. However, the participants also identified several challenges. These included linguistic issues, such as issues with syntax, semantics, and stylistics, as well as reading engagement problems where the participants required more time to read certain parts of the translation. In addition, the untranslated sentences caused by ChatGPT's content policy restrictions added to the challenges. Despite the relatively high readability ratings, these factors disrupted participants' overall reading experiences with the translated short story by ChatGPT.