Exploring Open Distance Learning (ODL) Students' Perceptions on AI Adoption for Online Assessments

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Authors: Nwaoha Judith Uju
Cited by: 0

Abstract

Artificial Intelligence (AI) is increasingly embedded in online assessment systems through tools such as automated grading, plagiarism detection, and remote proctoring. This study examined Open and Distance Learning (ODL) students’ awareness and perceptions of AI adoption for assessment within the University of Lagos Distance Learning Institute. A descriptive cross‑sectional survey design was used, supported by follow‑up interviews. Data from 2,850 respondents show moderate awareness overall, higher awareness for plagiarism detection tools, and cautiously positive perceptions regarding fairness and accuracy. However, students expressed concerns about grading errors, lack of transparency, privacy, and AI limitations in evaluating complex responses.

Fields of Study & Subjects

Academic integrity and plagiarism Artificial Intelligence in Healthcare and Education E-Learning and COVID-19

Publication details

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