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

doi:10.1016/j.dib.2018.03.052

The role of gender on academic performance in STEM-related disciplines: Data from a tertiary institution

Data Brief. 2018 Mar 17:18:360-374. doi: 10.1016/j.dib.2018.03.052. eCollection 2018 Jun.

Authors

Temitope M John^{1

2}, Joke A Badejo^{1

2}, Segun I Popoola^{1

2}, David O Omole^{3

2}, Jonathan A Odukoya^{4

2}, Priscilla O Ajayi^{5

2}, Mary Aboyade^{5

2}, Aderemi A Atayero^{1

2}

Affiliations

¹ Department of Electrical and Information Engineering, Covenant University, Ota, Ogun State, Nigeria.
² Covenant University Data Analytics Cluster, Covenant University, Ota, Ogun State, Nigeria.
³ Department of Civil Engineering, Covenant University, Ota, Ogun State, Nigeria.
⁴ Department of Psychology, Covenant University, Ota, Ogun State, Nigeria.
⁵ Center for Systems and Information Services, Covenant University, Ota, Ogun State, Nigeria.

Abstract

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: Education data mining; Gender roles; Learning analytics; Nigerian university; STEM; STEM education; STEM students; Smart campus; Undergraduates.