Interactive Dashboard: How First-Year Students Actually Use AI in Permitted Assessments - Empirical Evidence from 167 ICT Students

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Authors: Mahmoud Elkhodr, Ergun Gide, Ahmedi Azra
Cited by: 0

Abstract

🌐 Live Interactive Version: https://raw.githack.com/MahmoudElkhodr/fair/GENAI-101/dashboard.html This archived version provides a permanent DOI for citation. For the best experience with interactive charts and visualisations, please use the live version above. Interactive HTML dashboard presenting empirical findings from 167 first-year ICT students' AI usage patterns during a supervised assessment at Central Queensland University. The dashboard visualises 12 dimensions of student engagement, including behavioural typologies, verification strategies, prompt frequency patterns, and institutional support priorities. Built using Chart.js, this standalone resource provides evidence challenging assumptions about student AI adoption and positions students as partners in developing AI literacy frameworks. Companion resource to the research paper available on Research Square.

Fields of Study & Subjects

Artificial Intelligence in Education Academic integrity and plagiarism Online Learning and Analytics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Language
EN