Kayode Sunday John Dada
University Library, Federal University of Education, Zaria, Kaduna State, Nigeria

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Pedagogical Mediation by Academic Librarians with ICT for the Development of Critical Thinking in Library and Information Science Students: A Systematic Review Kayode Sunday John Dada; romoke Opeyemi Quadir
EduLine: Journal of Education and Learning Innovation Vol. 6 No. 2 (2026)
Publisher : Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.eduline4683

Abstract

This systematic review examines how pedagogical mediation by academic librarians using Information and Communication Technologies (ICT) contributes to the development of critical thinking among Library and Information Science (LIS) students at Ahmadu Bello University (ABU), Zaria. Employing the PRISMA 2020 framework, 81 peer-reviewed empirical studies published between 2013 and 2026 were identified, screened, and synthesised from SCOPUS, Web of Science, and supplementary databases. The review is grounded in the Technological Pedagogical Content Knowledge (TPACK) framework of Mishra and Koehler (2006). Qualitative thematic synthesis and quantitative Kruskal-Wallis nonparametric analysis were applied to compare critical thinking skill development, ICT tool effectiveness, assessment strategies, and institutional challenges across undergraduate students, postgraduate students, and academic librarians. Results reveal that problem-based learning with ICT (? = .48, p < .001) and blended learning environments (? = .41, p < .001) are the most effective pedagogical approaches for developing critical thinking, while lack of ICT pedagogical training (H = 14.67, p < .001) and role ambiguity for academic librarians (H = 13.77, p < .001) emerge as the most significant barriers. Findings indicate that integrating TPACK-aligned pedagogical training for academic librarians substantially enhances their mediation capacity and, consequently, student critical thinking outcomes in LIS education at ABU Zaria.
Applied Informatics: Librarian Scepticism of Artificial Intelligence in Information Retrieval — Does AI Promote Library Usage or Displace It? Evidence from the Nigerian University Library Landscape: Applied Informatics: Librarian Scepticism of Artificial Intelligence in Information Retrieval Kayode Sunday John Dada
Data Science: Journal of Computing and Applied Informatics Vol. 10 No. 2 (2026): Data Science: Journal of Computing and Applied Informatics (JoCAI) In Press
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jocai.v10i2.25832

Abstract

Librarian scepticism towards artificial intelligence (AI) tools in information retrieval is routinely reframed in African higher education discourse as a capacity gap. This paper challenges that reframing. Using a convergent mixed-methods design — a survey of 214 librarians across 27 Nigerian universities, 32 semi-structured interviews, and documentary analysis of 81 institutional documents spanning 2015–2025 — the study pursues three objectives: (1) to examine the nature and structural determinants of librarian scepticism towards AI-assisted retrieval; (2) to determine whether AI adoption promotes or displaces substantive library usage in resource-constrained institutions; and (3) to investigate gendered and geographic dimensions of differential AI scepticism. Findings confirm that scepticism is epistemically rational and structurally grounded. In institutions where AI chatbots generate citation lists that the local collection cannot fulfil, the information outcome is zero regardless of interface sophistication — what the study theorises as an information supply chain failure (ISCF), structurally analogous to a health system that achieves a correct diagnosis but cannot dispense the medication. Only 27.1% of librarians reported that AI-generated references were typically retrievable locally (17.8% in rural institutions). Female librarians in northern Nigeria reported the highest scepticism and the lowest institutional support. No sampled institution held an operational AI-resource integration policy. The study concludes that AI adoption without collection integrity undermines library utility, and recommends a policy-first, resource-second integration framework.