Monitoring the disparity of teaching and learning process variability: a statistical approach

Djauhari, Maman A.; Sagadavan, Revathi; Lee, Siaw Li

doi:10.1504/ijpqm.2017.085259

IJPQM

2017

DOI: 10.1504/ijpqm.2017.085259

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Monitoring the disparity of teaching and learning process variability: a statistical approach

Maman A. Djauhari

Revathi Sagadavan

Siaw Li Lee

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2022

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“…used attribute charts from the perspective of the number of passing exams. Other studies following a similar framework includePeterson (2015),Zolkepley et al (2018),Hrynkevych (2017),Aldowaisan and Allahverdi (2016),Mazumder (2014),Djauhari et al (2017),Cervetti et al (2012) andHanna et al (2012).…”

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confidence: 99%

A practical application of statistical process control to evaluate the performance rate of academic programmes: implications and suggestions

Perera

Marin²,

Sancha³

2022

QAE

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Purpose This study aims to properly and objectively assess the students’ study progress in bachelor programmes by applying statistical process control (SPC). Specifically, the authors focused their analysis on the variation in performance rates in business studies courses taught at a Spanish University. Design/methodology/approach A qualitative methodology was used, using an action-based case study developed in a public university. Previous research and theoretical issues related to quality indicators of the training programmes were discussed, followed by the application of SPC to assess these outputs. Findings The evaluation of the performance rate of the courses that comprised the training programs through the SPC revealed significant differences with respect to the evaluations obtained through traditional evaluation procedures. Similarly, the results show differences in the control parameters (central line and control interval), depending on the adopted approach (by programmes, by academic year and by department). Research limitations/implications This study has inherent limitations linked to both the methodology and selection of data sources. Practical implications The SPC approach provides a framework to properly and objectively assess the quality indicators involved in quality assurance processes in higher education. Originality/value This paper contributes to the discourse on the importance of a robust and effective assessment of quality indicators of the academic curriculum in the higher education context through the application of quality control tools such as SPC.

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confidence: 99%

A practical application of statistical process control to evaluate the performance rate of academic programmes: implications and suggestions

Perera

Marin²,

Sancha³

2022

QAE

View full text Add to dashboard Cite

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Monitoring the disparity of teaching and learning process variability: a statistical approach

Cited by 1 publication

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A practical application of statistical process control to evaluate the performance rate of academic programmes: implications and suggestions

A practical application of statistical process control to evaluate the performance rate of academic programmes: implications and suggestions

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