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      Learning analytics for smart campus: Data on academic performances of engineering undergraduates in Nigerian private university

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          Abstract

          Empirical measurement, monitoring, analysis, and reporting of learning outcomes in higher institutions of developing countries may lead to sustainable education in the region. In this data article, data about the academic performances of undergraduates that studied engineering programs at Covenant University, Nigeria are presented and analyzed. A total population sample of 1841 undergraduates that studied Chemical Engineering (CHE), Civil Engineering (CVE), Computer Engineering (CEN), Electrical and Electronics Engineering (EEE), Information and Communication Engineering (ICE), Mechanical Engineering (MEE), and Petroleum Engineering (PET) within the year range of 2002–2014 are randomly selected. For the five-year study period of engineering program, Grade Point Average (GPA) and its cumulative value of each of the sample were obtained from the Department of Student Records and Academic Affairs. In order to encourage evidence-based research in learning analytics, detailed datasets are made publicly available in a Microsoft Excel spreadsheet file attached to this article. Descriptive statistics and frequency distributions of the academic performance data are presented in tables and graphs for easy data interpretations. In addition, one-way Analysis of Variance (ANOVA) and multiple comparison post-hoc tests are performed to determine whether the variations in the academic performances are significant across the seven engineering programs. The data provided in this article will assist the global educational research community and regional policy makers to understand and optimize the learning environment towards the realization of smart campuses and sustainable education.

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          Most cited references8

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          Item analysis of university-wide multiple choice objective examinations: the experience of a Nigerian private university

          Teachers and Students worldwide often dance to the tune of tests and examinations. Assessments are powerful tools for catalyzing the achievement of educational goals, especially if done rightly. One of the tools for ‘doing it rightly’ is item analysis. The core objectives for this study, therefore, were: ascertaining the item difficulty and distractive indices of the university wide courses. A range of 112–1956 undergraduate students participated in this study. With the use of secondary data, the ex-post facto design was adopted for this project. In virtually all cases, majority of the items (ranging between 65% and 97% of the 70 items fielded in each course) did not meet psychometric standard in terms of difficulty and distractive indices and consequently needed to be moderated or deleted. Considering the importance of these courses, the need to apply item analyses when developing these tests was emphasized.
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            Population, education and sustainable development.

            The author examines the interrelationships between population growth and education, with a focus on Sub-Saharan Africa. "The gross body of evidence suggests that for all developing regions (and for sub-saharan Africa specifically) rapid population growth deleteriously impacts upon the quantity and quality of schooling. In a reciprocal fashion, the variables which underpin rapid and differential growth (fertility, mortality and migration) are themselves influenced by quantum of formal schooling and by other educational processes."
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              Assessing the effectiveness of mobile learning devices in tertiary institutions: the experience of undergraduates in a Nigerian Private University

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                Author and article information

                Contributors
                Journal
                Data Brief
                Data Brief
                Data in Brief
                Elsevier
                2352-3409
                03 January 2018
                April 2018
                03 January 2018
                : 17
                : 76-94
                Affiliations
                [a ]Department of Electrical and Information Engineering, Covenant University, Ota, Nigeria
                [b ]Department of Psychology, Covenant University, Ota, Nigeria
                [c ]Department of Civil Engineering, Covenant University, Ota, Nigeria
                Author notes
                Article
                S2352-3409(17)30754-0
                10.1016/j.dib.2017.12.059
                5988220
                09d57cf1-4b5d-4127-a9a5-7a7ad30da0a5
                © 2018 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 12 December 2017
                : 28 December 2017
                Categories
                Engineering

                smart campus,learning analytics,sustainable education,nigerian university,education data mining,engineering

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