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Analysis of Students' Perceptions of Artificial Intelligence Utilization in Completing Academic Tasks Muhammad Rizqy; Bayu Hadiatma Fasya; Miftahul Jannah; Gunawan Gunawan
Indonesian Journal of Teacher Education Vol. 6 No. 2 (2025): Edisi Juli-Desember 2025
Publisher : Indonesian Publication Center

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Abstract

The use of Artificial Intelligence (AI) has become increasingly widespread in higher education, particularly in assisting students with academic assignments. This study aims to analyze students’ perceptions regarding the utilization of AI in completing academic tasks, including patterns of use, frequency of application, and the types of assignments that most commonly involve the technology. In addition, the study evaluates students’ views on the benefits of AI, such as improved understanding of course material, time efficiency, and enhanced quality of academic work. On the other hand, the survey also explores students’ concerns related to plagiarism, violations of academic ethics, and the potential dependence on technology. The method employed is a quantitative survey using questionnaires distributed to students from various study programs. The results are expected to provide a comprehensive overview of students’ attitudes and tendencies in employing AI and to serve as a basis for educational institutions in formulating policies for the wise and responsible use of AI in academic settings.
A Content Analysis of Writing Tasks in the English for Change Textbook for Eleventh-Grade Students of Senior High School Miftahul Jannah; Ahmad Zamzam; Lalu Ali Wardana; Eka Fitriana
Journal of English Education Forum (JEEF) Vol. 6 No. 3 (2026): JUL-SEP
Publisher : Program Studi Pendidikan Bahasa Inggris

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jeef.v6i3.1077

Abstract

This study analyzed the writing tasks in the English for Change textbook for eleventh-grade students based on Brown’s (2004) theory of writing performance. The aims were to identify the types of tasks, determine the dominant type, and investigate their distribution across chapters. A qualitative content analysis was used. The researcher served as the key instrument and employed document analysis as the data collection technique. Data were collected from all writing tasks in the textbook using a checklist. The writing tasks were coded into four categories: Imitative, Intensive, Responsive, and Extensive, based on the directions and instructions in the learning activities across the chapters. The findings showed that out of Brown’s 22 subtypes of writing task performance, 12 subtypes were included and 10 subtypes were absent. A total of 36 writing tasks were identified across Chapters 1 to 5; Responsive Writing was the most dominant category with 50.00%, followed by Intensive 25.00%, Extensive 19.44%, and Imitative 5.56%. In terms of distribution, the tasks progressed gradually but unevenly. Intensive and Responsive tasks appeared in Chapters 1–2, Imitative and Extensive tasks emerged in Chapters 3–4, and Chapter 5 remained dominated by Responsive tasks. It was concluded that the textbook scaffolds from Intensive to Responsive writing, but lacks balance in Extensive writing tasks. Therefore, it is recommended that additional Extensive writing tasks be included in the textbook to align with the demands of the Kurikulum Merdeka.