Constraints Resolution in Semi-automated Course Allocation Process for Educational Institute.

Muhammad Imran; Riazul Amin; Abdul Sattar Malik; Bakhtiar Kasi; Mumraiz Kasi

Author(s)

Muhammad Imran Department of Information Technology, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan

Riazul Amin Department of Computer Science, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan

Abdul Sattar Malik Department of Computer Science, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan

Bakhtiar Kasi Department of Computer Science, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan

Mumraiz Kasi Department of Computer Science, Balochistan University of Information Technology, Engineering and Management Sciences, Quetta, Pakistan

Abstract

In this study, the problem of biasness and unfairness in course allocation mechanism is addressed. Institutions face problem when allocating courses to the faculty members that are according to their expertise and this becomes more complex when two or more than two individuals are having expertise in same area. The work done previously in this area is extended by suggesting the mechanism that reduce the human biasness and encourages the fairness to the extent possible. Mechanism suggested uses well known process mining algorithm, the Alpha. It generates process model based on software generated event logs and comparison of original process model with process mining generated process model reveals the deviations in process model which in turn helps to detect deviations in it and is founding stone for suggestive conclusion for further improvement and modification in the software process model and the software system itself. Conclusively the suggested mechanism helps to reduce human biasness in course allocation and encourages to allow fair allocation of the resources to the right person.

Publication Details

Page(s) 64-69

DOI DOI not available

Published Journal: Journal of Applied and Emerging Sciences , Volume: 7, Issue: 1, Year: 2017

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References

GuntherA,Alves de MedeirosAK, 2004.Process Mining: Using CPN Tools to Create Test Logs for Mining Algorithms", -

VanthienenJ,SeppeKLM,BartBaesens,Broucke, 2014.Straightforward Petri netbased event log generation in ProM., -

Ullah S and Amin RU. ( 2016). Rules driven semi-automated course allocation for education Institute

Aalst W. (2016). Process Mining: Data Science in Action, Springer.

Viladimir RA, Alexy MA , Irina LA , Wil VDAP. (2014). Process Mining Can Be Applied to Software too.