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Research Development in Public Universities in Nigeria: Problems and Solutions SOMADINA, Okwelogu Izunna; AYO, Victoria Abiodun; AYOKO, Victor Olugbenga
Journal of Higher Education and Academic Advancement Vol. 1 No. 1 (2024): European Journal of Higher Education and Academic Advancement
Publisher : PT. Antis International Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ejheaa.v1i1.43

Abstract

This paper discussed barriers to research development in Nigerian public universities. Secondary data were used to support the points raised in the article. The secondary data were sourced from print materials and online publications by recognized institutions and individual authors. The paper concluded that Poor funding, lack of modern laboratories, inadequate infrastructure facilities, strike actions, insecurity, brain drain, the poor linkages between researchers and the industrial sector, unattractive working conditions for researchers, strict guidelines for accessing grants and poor mentorship are some of the barriers to research development in public universities in Nigeria. To solve the identified problems, the paper among other things recommended adequate funding of public universities with a special interest in research development in all the public universities in Nigeria.
ARTIFICIAL INTELLIGENCE ON TEACHING AND LEARNING OF SCIENCE EDUCATION PROGRAMME IN TERTIARY INSTITUTIONS IN NORTH-CENTRAL, NIGERIA Somadina, Okwelogu Izunna; Stephania Olabisi, Olamoyegun
International Journal of Artificial Intelligence for Digital Marketing Vol. 1 No. 1 (2024): International Journal of Artificial Intelligence for Digital Marketing
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ijaifd.v1i1.70

Abstract

The study assessed the effects of artificial intelligence on teaching and learning of science education programme in tertiary institutions in Nigeria. The study used descriptive survey method. The population of the study comprises of all academic staff in North-Central Nigeria. The sample for the study was made up of 200 academic staff in the region. The researcher formulated an instrument titled Artificial Intelligence and Science Education Questionnaire (AISEQ). Test and re-test method was used to determine the reliability of the instrument. The result collected on the first and second were correlated and it yielded a coefficient of 0.86 which is high enough for the study. Descriptive statistics was used to analyze data collected for the research questions and hypothesis formulated for the study. The result collected and analyzed disclosed that Al support implementation of science education in Nigerian Tertiary institution in the following areas; Al supports presentation of lecture on science education, assists lecturers to carry out researches in science education, helps lecturer to provide community services, assists lecturers to develop course note, aids effective classroom management, assists lecturers to assign assignments and projects to students, support distance learning education, support individual learning and collaborate learning, assists students in writing research work, assists effective examinations in tertiary institutions and support practical work in laboratory. The result established that artificial intelligence has aided teaching and learning of science education in Nigerian tertiary institutions. Based on this, the study recommended that the tertiary institutions manager should increase funding of science education to enable the procurement and deployment of Al for the teaching and learning of science education in Nigerian tertiary institutions.