The Use of an Open Case Study Coursework Assessment and Self-Evaluation Approach to Improve Student Learning

By Nicoleta Tipi.

Published by The International Journal of Assessment and Evaluation

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Article: Print $US10.00
Article: Electronic $US5.00

This investigation aims to evaluate the benefits and challenges generated by using an open case study for a coursework summative assessment. This evaluation is conducted from the students’ as well as from the tutor’s perspective. A selection of mathematical modelling and computer-based simulation techniques are taught in a supply chain modelling module for students studying logistics at undergraduate level in their final year. This is considered a difficult topic due to the level of mathematical modelling required to develop logistics and supply chain models. The summative coursework assessment is designed in the form of an open case study where students can search and develop their individual case studies. This allows students to select the level of difficulty they are most comfortable with in providing a solution for their defined supply chain system. It has been observed that this form of assessment reaches different levels of learning, and allows students to identify links and connections between the use of different techniques studied and their practical application. The discussion provided incorporates findings from tutor’s observations, students’ self-evaluation reports and observations from an end of year questionnaire.

Keywords: Summative Assessment, Self-evaluation, Open Case Study, Supply Chain Modelling

International Journal of Assessment and Evaluation, Volume 20, Issue 1, pp.15-24. Article: Print (Spiral Bound). Article: Electronic (PDF File; 388.230KB).

Dr. Nicoleta Tipi

Senior Lecturer, School of Applied Sciences, Logistics, Transport and Tourism Division, University of Huddersfield, Huddersfield, West Yorkshire, UK

Dr. Nicoleta S. Tipi is a senior lecturer in the area of logistics operation techniques and supply chain decision support and modelling. She is module leader for a number of modules at the undergraduate, Masters and PhD levels. Her research interests are in the area of supply chain modelling, performance measures design and logistics education. She has a PhD from the University of Sheffield (UK), Department of Automatic Control and System Engineering in the area of supply chain systems modelling and an MA in professional development (Higher Education Practice) from the University of Huddersfield.