Generative AI in Higher Education: Balancing Innovation and Integrity
Generative Artificial Intelligence (GenAI) is rapidly transforming the landscape of higher education, offering novel opportunities for personalised learning and innovative assessment methods. This paper explores the dual-edged nature of GenAI's integration into educational practices, focusing on both its potential to enhance student engagement and learning outcomes and the significant challenges it poses to academic integrity and equity. Through a comprehensive review of current literature, we examine the implic…
Generative AI can improve higher education by enabling personalised learning and innovative assessments that enhance engagement and efficiency.
Generative AI integration in higher education threatens academic integrity and equity by undermining authenticity of student work and widening inequalities.
Analysis is a literature review that flags unresolved ethical risks including bias, digital divide, and environmental impact, and calls for robust ethical frameworks rather than presenting new empirical outcomes.
Evidence
- Peer-reviewedBritish Journal of Biomedical Science2025-01-09
How should this claim be treated?
Truvace Impact Record TRV-2026-0546, v1: “Generative AI in Higher Education: Balancing Innovation and Integrity.” Truvace, 2026-07-24. /record/TRV-2026-0546 (accessed at citation time). sha256 3604cb79267c0de2…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0546 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.
ace