The role of gender on academic performance in STEM-related disciplines: Data from a tertiary institution
Temitope M. John,
Joke A. Badejo,
Segun I. Popoola,
David O. Omole,
Jonathan A. Odukoya,
Priscilla O. Ajayi,
Mary Aboyade,
Aderemi A. Atayero
Affiliations
Temitope M. John
Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria; Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria; Corresponding author at: Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria.
Joke A. Badejo
Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria; Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria
Segun I. Popoola
Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria; Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria
David O. Omole
Department of Civil Engineering, Covenant University, Ota, Ogun State, Nigeria; Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria
Jonathan A. Odukoya
Department of Psychology, Covenant University, Ota, Ogun State, Nigeria; Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria
Priscilla O. Ajayi
Center for Systems and Information Services, Covenant University, Ota, Ogun State, Nigeria; Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria
Mary Aboyade
Center for Systems and Information Services, Covenant University, Ota, Ogun State, Nigeria; Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria
Aderemi A. Atayero
Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria; Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria
This data article presents data of academic performances of undergraduate students in Science, Technology, Engineering and Mathematics (STEM) disciplines in Covenant University, Nigeria. The data shows academic performances of Male and Female students who graduated from 2010 to 2014. The total population of samples in the observation is 3046 undergraduates mined from Biochemistry (BCH), Building technology (BLD), Computer Engineering (CEN), Chemical Engineering (CHE), Industrial Chemistry (CHM), Computer Science (CIS), Civil Engineering (CVE), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mathematics (MAT), Microbiology (MCB), Mechanical Engineering (MCE), Management and Information System (MIS), Petroleum Engineering (PET), Industrial Physics-Electronics and IT Applications (PHYE), Industrial Physics-Applied Geophysics (PHYG) and Industrial Physics-Renewable Energy (PHYR). The detailed dataset is made available in form of a Microsoft Excel spreadsheet in the supplementary material of this article. Keywords: Learning analytics, STEM students, STEM, STEM education, Gender roles, Undergraduates, Education data mining, Smart campus, Nigerian university
