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Patience Okoro; Nelson Ejiro Akpotu; Romina Ifeoma Asiyai – International Journal of Educational Administration and Policy Studies, 2024
The study explores the relationship between academic mentorship and the productivity of academics in universities. Two questions and a hypothesis were raised to guide the study. The research design employed ex-post-facto methodology with a population of 3,492 academic staff. The stratified random sampling technique was used to determine the sample…
Descriptors: Mentors, Leadership, College Faculty, Public Colleges
Aireruor Napoleon Eromosele; Anolu Easter – African Educational Research Journal, 2024
The purpose of the study was to assess the level of technological literacy among non-teaching staff (NTS) in selected public universities in Edo State, Nigeria. Two research questions were raised to guide the study and two corresponding hypotheses were formulated and were also tested at 0.05 level of significance. A survey research design was used…
Descriptors: Technological Literacy, Professional Personnel, Foreign Countries, Knowledge Level
Moses Segbenya; Felix Senyametor; Simon-Peter Kafui Aheto; Edmond Kwesi Agormedah; Kwame Nkrumah; Rebecca Kaedebi-Donkor – Cogent Education, 2024
This study examined the effect of antecedents of artificial intelligence (AI) on the productivity of academics in higher education. The study was guided by the pragmatic epistemic perspective predicated on the concurrent integrated mixed-method design used with the support of a Google softcopy version of the semi-structured questionnaire (closed…
Descriptors: Influences, Artificial Intelligence, Productivity, College Faculty
Usani Joseph Ofem; Valentine Joseph Owan; Mary Arikpo Iyam; Maryrose Ify Udeh; Pauline Mbua Anake; Sylvia Victor Ovat – Education and Information Technologies, 2025
While previous studies have explored students' use of different AI tools for academic purposes, studies that have specifically investigated students' use of ChatGPT for dishonest academic purposes in Nigeria are lacking. The consequence of this contextual and knowledge gap is a lack of specific understanding regarding students' engagement with…
Descriptors: Student Attitudes, Usability, Artificial Intelligence, Technology Uses in Education
Omotayo Adewale Awodiji; Suraiya R. Naicker – Journal of Applied Research in Higher Education, 2024
Purpose: Teachers at all levels of the education system are expected to model leadership qualities to students. Leadership qualities of level advisers (LAs) are regarded as charismatic, pragmatic, ideological and innovative (CPII) in this study. This study compared the leadership qualities of LAs in universities in Nigeria as perceived by…
Descriptors: College Students, Faculty Advisers, Leadership Qualities, College Faculty