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Academic performance data of undergraduate students' in 23 programmes from a private University in Nigeria

Ezenwoke, Azubuike and Ogunwale, Oluwadamilola and Matiluko, Opeyemi and Igbekele, Emmanuel and Dare, Samuel and Ezenwoke, Omotola and Olayanju, Adeniyi (2018) Academic performance data of undergraduate students' in 23 programmes from a private University in Nigeria. Data in Brief, 20. pp. 57-73.

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The quality of teaching and learning in higher education in many developing countries can be improved as institutions in this region adopt evidence based practices that emphasize empirical measurements, observations, analysis and reports of learning out comes. This article presents and analyses data on the academic performances of under graduate students for duration of three semesters across the three major colleges of Landmark University,a private University in Nigeria. The colleges include the college of Agricultural Sciences(CAS), college of Business and Social Sciences (CBSS), and the college of Science and Engineering(CSE). Furthermore,populationsamplesof82,577and812under- graduates were selected randomly from CAS,CBSS and CSE respectively; total in gapopulation of sample of 1471 under- graduates from all academic levels(200L–500L)with the exception of first year students. The random selection was drawn from three consecutive semesters -the first and second semesters of academic 2016/2017 session and first semester of2017/2018 academic session. The cumulative GPA of the sample population of students for the semester high lighted was obtained from the Centre for Systems and Information Services Units of the University. Motivated by the need to promote evidence-based research in academic excellence, a spread-sheet containing the detailed data set is attached to this article.The descriptive statistics and frequency distributions of academic performance data a represented in with the use of tables and graphs for easy data interpretations. The data provided in this article supports the goal of a regional policy towards the realization of qualitative sustainable education

Item Type: Article
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Hannah Akinwumi
Date Deposited: 07 Mar 2019 15:20
Last Modified: 07 Mar 2019 15:20

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