Journal of Artificial Intelligence in Education & Learning Innovation (JAIELI)
Vol. 2 No. 1 (2026): Journal of Artificial Intelligence in Education & Learning Innovation

ChatGPT as a coping mechanism: Postgraduate use under supervisory gaps in South-South Nigerian tertiary institutions

Uka Nwagbara (University of Uyo)
Daramfon Okon (University of Uyo)
Precious Ukeje (University of Uyo)



Article Info

Publish Date
02 Jul 2026

Abstract

Background: Generative AI tools like ChatGPT are common in higher education, especially where students lack timely academic support. In many South-South Nigerian universities, gaps in postgraduate supervision may influence how students use such tools. Objectives: This study examines how postgraduate students become aware of ChatGPT, how much they use it, and why they rely on it when supervision is limited. Methods: A qualitative exploratory design was used. Twenty-one postgraduate students were purposively selected from universities in South-South Nigeria. Data were collected through online semi-structured interviews using a validated guide. Inductive thematic analysis, using Braun & Clarke’s framework, was applied to identify patterns in the data. Results: Findings show that awareness of ChatGPT is mostly informal, driven by peers, social media, and personal trial and error. Many students use ChatGPT frequently, especially during proposal writing, data analysis, and thesis development. Its use is strongly linked to delays or gaps in supervision. Conclusions: ChatGPT is widely used as a support tool and coping strategy, rather than merely a convenience. Its role reflects gaps in supervision and the need for clearer institutional guidance and training.

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Journal Info

Abbrev

jaieli

Publisher

Subject

Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics

Description

The Journal of Artificial Intelligence in Education & Learning Innovation (JAIELI) publishes papers concerned with the application of AI to education and learning innovation. It aims to help the development of principles for the design of computer-based learning systems. Its premise is that such ...