A Fuzzy Model for Enhanced Student Evaluation

By Maria Samarakou, Andreas Papadakis, Pantelis Prentakis, Dimitrios Karolidis and Spyros Athineos.

Published by The Learner Collection

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

This paper refers to a student evaluation enhancement fuzzy logic system in the context of lab–based examinations. In such examinations, the evaluation is traditionally based on the solution the students submit at the end of the exams. While the correctness of the solution has been the most important (and easy to apply) evaluation criterion, sometimes it appears that it is not adequate for a judge evaluation. Many times it is interesting to diagnose both the capability, on behalf of the student, of using the laboratory tool as well as his/her sound comprehending of the theoretical principles (which he/she is expected to apply using the lab tool). This separation is feasible only when the intermediate steps to the solution are taken into account. On the other hand, other characteristics such as the total time that has been needed in order to solve the problem, the number of commands executed and the route the student has followed are usually ignored or in the best case only qualitatively considered. In this paper we present the solution we have applied in order to confront these limitations. Specifically we have evaluated and established further evaluation criteria, in parallel with the correctness of the final result. To this end it has been necessary to develop enhanced logging functionality, which monitors and afterwards analyzes the complete life cycle of the solution process. The fuzzy model represents expert’s knowledge in linguistic form and infers student’s characteristics, combining fuzzy facts, each one contributing to some degree to a fuzzy relation and to the final decision. The system has been applied in the Energy Technology Department of TEI (Technological Educational Institute) of Athens and the results have been interesting, in terms of the evaluation efficiency and the students performance.

Keywords: Fuzzy System, Evaluation, Lab-based Examinations, Student’s Diagnosis

The International Journal of Learning, Volume 16, Issue 10, pp.103-118. Article: Print (Spiral Bound). Article: Electronic (PDF File; 1.772MB).

Prof. Maria Samarakou

Professor, Energy Technology Department, Technological Educational Institute of Athens, Egaleo, Attiki, Greece

Maria Samarakou is a Professor at the Technological Educational Institute of Athens and Director of the Applied Informatics Laboratory. She holds a BSc in Physics (1977), and a PhD in Simulation and Optimization of Energy Systems (1986) from National and Kapodistrian University of Athens. She has undertaken, since 1985, more than 20 National and European projects in research and technology development as coordinator/project manager or main researcher. She has published more than 80 papers in refereed scientific journal and proceedings of International and National congresses on topics in the field of simulation, optimization, expert systems, artificial intelligence and educational technology. She has more than 100 citations in 35 scientific articles and she is Reviewer in various international scientific journals and congresses. Her research interests include the following scientific areas: Simulation of energy systems, Optimization of energy systems, Artificial intelligence, Intelligent Tutoring Systems, Interactive Educational Environments, Design and implementation of educational software.

Andreas Papadakis

Lecturer, Energy Technology Department, Technological Educational Institute of Athens, Attiki, Greece

Andreas Papadakis holds PhD and Diploma in Electrical and Computer Engineering from the NTUA. He has published more than 20 papers in the fields of e-Government and elearning.

Pantelis Prentakis

Researcher, Energy Technology Department, Technological Educational Institute of Athens, Attiki, Greece

Pantelis Prentakis holds a BSc in Mathematics from National and Kapodistrian University of Athens and an MSc in Data Communication Systems from Kingston University of Great Britain.

Dimitrios Karolidis

Professor of Technological Applications, Energy Technology Department, Technological Educational Institute of Athens, Attiki, Greece

Dimitrios Karolidis holds a BSc in Physics from University of Ioannina and an MSc in Computer Science from National and Kapodistrian University of Athens.

Spyros Athineos

Associate Professor, Electronics Department, Technological Educational Institute of Athens, Egaleo, Attiki, Greece

Spyros Athineos is an Associate Professor at the Electronics Department, Faculty of Applied Sciences, Technological and Educational Institute of Athens (T.E.I. of Athens). He holds a B.Sc. in Physics and a M.Sc. in Telecommunications from the Physics Department, National and Kapodistrian University of Athens. He received his Ph.D. from the Informatics and Telecommunications Department, National and Kapodistrian University of Athens.

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