Artificial Intelligence in Healthcare and Education
TL;DR
The extent of GenAI adoption among Nigerian undergraduate students, the challenges associated with its use, and its perceived effectiveness in supporting future competencies are critically examined, drawing explicitly on students’ lived experiences.
Abstract
The rapid diffusion of Generative Artificial Intelligence (GenAI) in higher education is reshaping the development of key competencies such as critical thinking, creativity, and collaboration, while simultaneously raising concerns about learner autonomy, originality, and deep cognitive engagement. This study critically examines the extent of GenAI adoption among Nigerian undergraduate students, the challenges associated with its use, and its perceived effectiveness in supporting future competencies, drawing explicitly on students’ lived experiences. Guided by 21st Century Competency Theory and Sociocultural Learning Theory, the study conceptualises GenAI as a sociotechnical phenomenon that interacts with learners’ cognitive development, social contexts, and institutional environments. A qualitative research design was employed, with data generated through focus group discussions and semi-structured interviews involving 12 computer science undergraduates from six Nigerian public universities, selected through a multistage sampling approach. Findings indicate that students’ awareness of GenAI is largely shaped by social media, academic exposure, and peer networks. Tools such as ChatGPT, Gemini, Microsoft Copilot, and Grammarly are widely used for research, writing, and problem-solving. However, usage patterns reveal a tension between productive integration and cautious restraint, driven by concerns over output accuracy, plagiarism risks, and unequal access linked to connectivity and financial constraints. While participants recognise GenAI’s potential to enhance creativity and critical engagement, uncritical dependence is perceived as potentially undermining foundational skills. The study underscores the need for structured, policy-guided curricular integration to promote responsible and balanced competency development.
Background: Generative artificial intelligence (GenAI) has diffused rapidly across higher education worldwide, yet empirical evidence from Southeast Asian and Global South contexts remains limited. Vietnamese higher education, characterised by rapid expansion, strong digital-transformation agendas, and examination-orie...
Quan Phuc Nguyen· Review of Artificial Intelli...· 0 citations
Findings point to the need for AI literacy curricula that develop students’ critical, ethical, and self-regulatory capacities in Indonesian higher education contexts.
Yuliana Friska, Angga Hidayat, Ani Kusumaningsih et al.· Indonesian EFL Journal· 0 citations
It is found that GenAI adoption in Indonesian higher education requires balanced institutional guidance, AI literacy development, assessment redesign, and clear academic integrity policies, and that digital and AI literacy is a key condition for responsible GenAI adoption.
S. Sudrajat, Bagaskara Nur Rochmansyah, Leonita Leonita et al.· Daengku Journal of Humanitie...· 0 citations
How university students construct their learner identities in the era of artificial intelligence is explored, demonstrating how AI influences not only how students learn but also who they become as learners.
This study explored how a higher education educator experienced and made sense of generative artificial intelligence within teaching, peer collaboration, and assessment practices, and identified three superordinate themes, including divergent peer adoption of GenAI, pedagogical adaptation and uncertainty, and assessmen...
Karen K. Fujii, N. Perez· IAFOR Journal of Education· 0 citations
Teacher education should frame GenAI as cognitive support, clarify task-specific boundaries, and require accountable verification rather than allow AI to substitute for learning.
Made Susi Lissia Andayani, L. P. E. Damayanthi· Jurnal Riset dan Inovasi Pem...· 0 citations
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