Generative AI in Higher Education: A Narrative Review of Global Adoption, Ethical Challenges, and Behavioural Pathways To Critical Thinking, With Implications for African and Ghanaian Contexts
2026· International journal of research and innovation in social science· Vol 10, pp. 8034-8047· 0 citations
TL;DR
It is found that GenAI adoption is high globally, and is growing rapidly across Africa, but that structural constraints, including limited infrastructure, low AI literacy, and underdeveloped institutional policy, shape a distinctly African pattern of opportunity and risk that global adoption figures obscure.
Abstract
Generative artificial intelligence (GenAI) has moved from novelty to routine presence in higher education within a few years, yet the evidence on its adoption, ethical implications, and cognitive effects remains fragmented across global, regional, and mechanism-focused literatures that are rarely read together. This narrative review synthesises 43 sources, comprising global systematic reviews and meta-analyses, comparative Global North-South studies, African and Tanzanian policy analyses, Ghana-specific empirical studies, and behavioural models linking GenAI use to critical thinking and ethical creativity. The review traces the evolution of this literature across three waves from 2022 to 2026 and finds that GenAI adoption is high globally, at roughly 74.5% among educators, and is growing rapidly across Africa, but that structural constraints, including limited infrastructure, low AI literacy, and underdeveloped institutional policy, shape a distinctly African pattern of opportunity and risk that global adoption figures obscure. In Ghana specifically, a large tertiary-institution survey shows technical infrastructure as a significant constraint even where urban-rural gaps are not, alongside evidence that roughly a third of surveyed undergraduates report low AI literacy despite substantial GenAI use. Critically, the review identifies that the empirically tested behavioural pathways linking GenAI use to critical thinking and ethical creativity, through self-regulated learning, innovative behaviour, and reduced reliance on prior knowledge, have been tested only in Taiwanese and Chinese settings, leaving open whether the same mechanisms hold under African infrastructural and institutional conditions. The review concludes with practical implications for institutions and policymakers and a concrete future-research agenda centred on this gap, arguing that testing these pathways in Ghana is the field's single most valuable next study.
The findings reveal that current discussions on GAI in education are largely characterized by retrospective and crisis-driven ethical framings, predominantly focused on risks such as plagiarism, bias, and misinformation, while offering limited engagement with proactive, context-sensitive strategies aligned with SDG 4.
Eva García-Beltrán· Journal of Educational Techn...· 0 citations
The findings indicate that GenAI adoption in African HEIs is expanding but uneven, concentrated in digitally advanced nations, enhancing personalization, multilingual learning, and research productivity, yet raises ethical concerns about academic integrity.
O. Apata, Peter Oyewole, S. Ajose et al.· Journal of University Teachi...· 0 citations
Amid the rapid proliferation of GenAI in higher education, claims about its democratizing potential have outpaced empirical scrutiny of its equity consequences. This study critically reviews generative artificial intelligence (GenAI) and its implications for equity in higher education. Drawing on literature published between 2023 and 2026, it develops a three-dimensional analytical framework encompassing opportunity, process, and outcome equity to examine the dual role of GenAI as both an inclusion-enabling and inequality-reproducing force. The findings suggest that GenAI enhances educational inclusion through multilingual support, personalized learning, and expanded participation opportunities. However, these benefits are accompanied by structural risks, including algorithmic bias, unequal digital literacy, and systematic misclassification in AI-driven assessment systems. These dynamics collectively reinforce existing educational inequalities rather than eliminate them. The study further demonstrates that current governance frameworks remain conceptually fragmented, lacking operational specificity, contextual adaptability, and empirical validation. As a result, the equity outcomes of GenAI remain highly uneven across institutional and regional contexts. Localized governance, informed by sustained empirical tracking, is recommended over generic institutional frameworks for mitigating the uneven impacts of GenAI.
Yuezhou Liu· Lecture Notes in Education P...· 0 citations
The Responsible AI Literacy in Education (RAIL-Ed) framework is introduced, developed through a systematic review and qualitative framework analysis of 67 studies (2023-2025), grounded in critical, pragmatist, sociocultural, and human-centered traditions.
S. Hossain, S. Ahmadi, Leqi Li et al.· 0 citations
The Cognitive Impact Taxonomy (CIT) provides a structured approach for assessing Gen-AI’s influence on fluid and crystallized intelligence, key cognitive processes, and the trajectory of cognitive impacts leading to severity assessment, and the Integrated Cognitive Symbiosis Framework (ICSF) introduces a three-layer governance model to support responsible and cognitively healthy Gen-AI adoption.
K. Vidanage, M.J. Marapperuma, Shakya Dissanayake et al.· Davao Research Journal· 0 citations
A conceptual framework offering AI designers, teacher educators, and policymakers a psychologically grounded, empirically mapped, and internationally contextualised basis for developing AI-supported educational systems that advance equity, learner engagement, and meaningful educational transformation is proposed.
Arpana Koul· Review of Artificial Intelli...· 0 citations