aceArtificial Intelligence Use in Honours Research: Implications for Supervision Relationships, Knowledge Development, and Research Quality
The increasing use of artificial intelligence (AI) tools in higher education has reshaped how students engage with academic research, particularly at Honours level, where students transition from structured undergraduate learning to independent postgraduate research. Guided by Self‑Regulated Learning (SRL) theory, this study examines how reliance on AI by Honours research students influences the supervisor-supervisee relationship, the quality of research produced, and the extent of knowledge gained through the r…
Limited, transparent AI use can ease surface-level cognitive load and improve language clarity for Honours research students.
Excessive AI reliance may weaken self-regulated learning and critical thinking, make supervisors unable to gauge understanding, and yield conceptually shallow research.
The work is a conceptual, literature-based review rather than an empirical test, so its findings are suggestions drawn from existing studies rather than measured outcomes.
Evidence
- Peer-reviewedInternational Journal of Business Ecosystem & Strategy (2687-2293)2026-10-18
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Truvace Impact Record TRV-2026-1899, v1: “Artificial Intelligence Use in Honours Research: Implications for Supervision Relationships, Knowledge Development, and Research Quality.” Truvace, 2026-10-19. /record/TRV-2026-1899 (accessed at citation time). sha256 71ccd1a92c1ae55e…
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