• Computer Science > Human-Computer Interaction [Submitted on 12 Jan 2026] Title:Digital self-Efficacy as a foundation for a generative AI usage framework in faculty’s professional practices View PDFAbstract:This research explores the role of digital self-efficacy in the appropriation of generative artificial intelligence (GAI) by higher education faculty. • Drawing on Bandura’s sociocognitive theory and Flichy’s concept of usage framework, our study examines the relationships between levels of digital self-efficacy and GAI usage profiles. • A survey of 265 faculty members identified three user profiles (Engaged, Reflective Reserved, Critical Resisters) and validated a three-dimensional digital self-efficacy scale. • Results reveal a significant association between self-efficacy profiles and GAI appropriation patterns. • Based on these findings, we propose a differentiated usage framework integrating four sociotechnical configurations, appropriation trajectories adapted to self-efficacy profiles, and personalized institutional support mechanisms. • Submission history From: Fatiha TALI OTMANI [view email] [via CCSD proxy][v1] Mon, 12 Jan 2026 12:51:58 UTC (501 KB) References & Citations export BibTeX citation Loading…
Article Summaries:
- A study published on 12 January 2026 investigates how higher‑education faculty adopt generative artificial intelligence (GAI) based on their digital self‑efficacy. Surveying 265 university staff, researchers identified three distinct usage profiles-Engaged, Reflective Reserved, and Critical Resisters-and validated a three‑dimensional self‑efficacy scale. Findings show a strong link between self‑efficacy levels and GAI appropriation patterns. Building on Bandura’s theory and Flichy’s usage framework, the authors propose a differentiated GAI usage model that incorporates four sociotechnical configurations, tailored appropriation trajectories, and personalized institutional support mechanisms.
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