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Andrian Saputra
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jurnal@fkip.unila.ac.id
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+6285768233166
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FKIP Universitas Lampung Jl. Prof. Dr. Ir. Sumantri Brojonegoro, Gedong Meneng, Kec. Rajabasa, Kota Bandar Lampung
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INDONESIA
Jurnal Pendidikan Progresif
Published by Universitas Lampung
ISSN : 20879849     EISSN : 25501313     DOI : https://doi.org/10.23960/jpp
Core Subject : Education,
urnal Pendidikan Progresif is an academic journal that published all the studies in the areas of education, learning, teaching, curriculum development, learning environments, teacher education, educational technology, educational developments from various types of research such as surveys, research & development, experimental research, classroom action research, etc. Jurnal Pendidikan Progresif covers all the educational research at the level of primary, secondary, and higher education. The goal of this journal is to bring together researchers and practitioners from academia and industry to focus on Educational advancements and establishing new collaborations in these areas. Original research papers, state-of-the-art reviews are invited for publication in all areas of Education. Topics of Interest include, but are not limited to, the following Disaster literacy and Risk Management Education Ethnopedagogy-based STEM Education Integrating technology into the curriculum: Challenges & Strategies Collaborative & Interactive Learning Tools for 21st Century learning Learning Analysis Education Management Systems Education Policy and Leadership Business Education Virtual and remote laboratories Pedagogy Enhancement with E-Learning Course Management Systems Teacher Evaluation Curriculum, Research, and Development Web-based tools for education Games and simulations in Education Learning / Teaching Methodologies and Assessment Counselor Education Student Selection Criteria in Interdisciplinary Studies Global Issues in Education and Research Technology Support for Pervasive Learning Artificial Intelligence, Robotics and Human-computer Interaction in Education Mobile/ubiquitous computing in education Web 2.0, Social Networking, Blogs and Wikis Multimedia in Education Educating the educators Professional Development for teachers in ICT
Articles 1 Documents
Search results for "Development of a Multidimensional Psychometric Scale for Assessing Artificial Intelligence Dependency in Higher Education Task Completion" : 1 Documents clear
Development of a Multidimensional Psychometric Scale for Assessing Artificial Intelligence Dependency in Higher Education Task Completion Putri, Wicha Amalia; Aunurrahman, Aunurrahman; Karolina, Venny; Halida, Halida; Afandi, Afandi; Tazijan, Farina
Jurnal Pendidikan Progresif Vol 16, No 2 (2026): Jurnal Pendidikan Progresif
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpp.v16i2.pp747-772

Abstract

Recent large-scale surveys indicate that the use of generative Artificial Intelligence (AI) in higher education has become nearly ubiquitous. A survey in the United Kingdom reported that 92% of university students use generative AI tools in their studies. In contrast, a national Indonesian survey involving 1,501 respondents found that 86.21% use AI to assist with academic tasks at least once a month. Preliminary institutional data further revealed that 68.6% of students reported using AI in nearly every assignment. Such high prevalence suggests that AI use has shifted from occasional assistance to habitual reliance, raising concerns about potential dependency and reduced independent cognitive engagement. Although existing instruments, such as the Cognitive AI Dependence and Interaction Scale (CAIDS), assess attitudes and general interaction patterns toward AI, they do not specifically measure functional and cognitive dependency in academic task completion. Therefore, this study aimed to develop and validate an AI task completion dependency scale for university students. A psychometric scale development design was employed involving 500 students from several universities in Indonesia who reported using AI to complete academic assignments. Data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), Rasch modeling, and differential item functioning (DIF) analysis based on gender. The findings revealed a stable three-factor structure comprising functional dependency on AI, reflective attitude, and independent use, and regulation and critical evaluation of AI, yielding a final 10-item scale. The results indicated preliminary structural support for the three-factor model, acceptable reliability, strong item functioning based on Rasch analysis, and acceptable gender invariance. Overall, the developed instrument provides a valid and reliable measure of students’ dependency on AI in academic task completion and offers a practical tool for evaluating and managing responsible AI use in higher education contexts. Keywords: academic task completion , AI dependency , indonesian students , rasch model , scale development.

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