University of Oulu

Oluwafemi Samson BALOGUN, Sunday Adewale OLALEYE, Richard Osei AGJEI and Akwasi Gyamerah ADUSEI “Data Analytics: An Exploration of Quality Control to Determine Students’ Academic Performance” Proceedings of the 36th International Business Information Management Association (IBIMA), ISBN: 978-0-9998551-5-7, 4-5 November 2020, Granada, Spain.

Data analytics : an exploration of quality control to determine students’ academic performance

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Author: Balogun, Oluwafemi Samson1; Olaleye, Sunday Adewale2; Agjei, Richard Osei3;
Organizations: 1School of Computing, University of Eastern Finland, FI-70211, Finland
2Department of Industrial Engineering and Management, University of Oulu, Product Management, Erkki Koiso- Kanttilan Katu, Oulu 90570, Finland
3School of public health, Imperial College, London
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe20201217101207
Language: English
Published: International business information management association, 2020
Publish Date: 2020-12-17
Description:

Abstract

Quality control and improvement is a crucial process development of any institution that craves growth. One part of the SPC approach is to aid the constant improvement of performance by further reducing unexplained variability. Another aspect of Statistical Process Control (SPC) is that planned and unplanned changes signaled as fast as considering the natural process variability. This paper aimed to determine whether students’ performance is significantly distributed according to academic patterns using the quality control procedure. This study found that one of the notable Nigerian Private University student academic performances drawn from three engineering departments based on the mean chart is in control and out of control, indicating excellent, intermediate, and lower results. The study also shows upper, average, and lower results with a close margin. This insight is an interdepartmental issue. The school managers need to formulate a holistic policy that will improve the existing academic performance to move the outlier students from worst to better and from better to best.

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ISBN: 978-0-9998551-5-7
Pages: 5976 - 5985
Host publication: Proceedings of the 36th International Business Information Management Association (IBIMA), Granada, Spain, 4-5 November, 2020
Conference: IBIMA Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 516 Educational sciences
Subjects:
GPA
Copyright information: © 2020 The Autrhos. Published by International business information management association. Creative Commons Attribution License 4.0 Unported.
  https://creativecommons.org/licenses/by/4.0/