Measuring How Students Rely on Generative AI in Academic Writing: Development and Multi-Source Validation of the Generative AI Reliance Types Scale (GenAI-RTS)

Created: 2026-07-17 | Tags: generative-aiacademic-integrityhigher-edstudent-experiencewriting-educationover-reliance

Shahin Hossain, Tukhbita Afroz Nawmi (2026) โ€” arXiv preprint. arXiv:2607.14301.

๐Ÿ“„ Full text (arXiv)

As generative AI (GenAI) becomes embedded in undergraduate academic writing, how students rely on these tools โ€” not merely whether they use them โ€” has emerged as a core question for academic-integrity, student-experience, and educational equity. This study develops and validates the Generative AI Reliance Types Scale (GenAI-RTS), a 20-item instrument measuring four theoretically derived reliance types: Strategic, Instrumental, Dependent, and Dialogic. Confirmatory factor analysis supports a five-factor structure in which Strategic Reliance splits into Deliberate Use and Critical Evaluation (CFI = .92, RMSEA = .08; DWLS CFI = .98, RMSEA = .07), with subscale reliability (ฯ‰) ranging .75โ€“.90.

Validation follows the multi-source framework of the Standards for Educational and Psychological Testing, combining a survey of 382 undergraduates at a U.S. Minority-Serving Institution with interviews with 14 purposively sampled students. The Critical Evaluation facet โ€” students scrutinizing GenAI output rather than accepting it โ€” directly operationalizes ai-literacy in writing contexts, while the Dependent type maps onto documented patterns of over-reliance on generative-ai tools. The instrument gives researchers and instructors a validated way to measure reliance modes in writing-education and across higher-ed, moving beyond binary โ€œuse/no-useโ€ measures toward nuanced, equity-aware assessment of GenAI integration.

Related Pages

Citation

APA: Shahin Hossain, Tukhbita Afroz Nawmi (2026). Measuring How Students Rely on Generative AI in Academic Writing: Development and Multi-Source Validation of the Generative AI Reliance Types Scale (GenAI-RTS). arXiv:2607.14301.