Title: Student academic performance system: quantitative approaches to evaluating and monitoring student progress

Authors: Samantha E. Robinson; Joon Jin Song

Addresses: Department of Mathematical Sciences, University of Arkansas, Fayetteville, AR 72701, USA ' Department of Statistical Science, Baylor University, Waco, TX 76798, USA

Abstract: Monitoring student performance throughout the course of an academic semester can have a positive impact for students and educators alike in terms of motivating invaluable course redesign, effective student intervention, and practical methodologies for classroom enrichment. Student academic performance systems (SAPS), analytical tools to track student progress, can enhance both learning and academic development. However, these monitoring systems need to be effective, easy to implement, clear to interpret, and based on a framework flexible enough to easily adjust and suit any educational level or course style. We propose a SAPS system designed to monitor student performance, demonstrate that the SAPS system is an efficient and complementary tool for educators, and argue that some form of a SAPS system should be incorporated into every classroom at all instructional levels.

Keywords: educational strategies; student performance monitoring; student evaluation; statistical surveillance; statistical classification techniques; hybrid classification; logistic regression; classification and regression trees; CART methods.

DOI: 10.1504/IJQRE.2019.10021827

International Journal of Quantitative Research in Education, 2019 Vol.4 No.4, pp.332 - 353

Received: 28 Feb 2018
Accepted: 13 Jan 2019

Published online: 14 Jun 2019 *

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