Next Article in Journal
Planning Science Instruction for Critical Thinking: Two Urban Elementary Teachers’ Responses to a State Science Assessment
Previous Article in Journal
Applying Models to National Surveys of Undergraduate Science Students: What Affects Ratings of Satisfaction?
Article Menu

Export Article

Open AccessArticle
Educ. Sci. 2013, 3(2), 208-221; doi:10.3390/educsci3020208

Fuzzy Logic as a Tool for Assessing Students’ Knowledge and Skills

School of Technological Applications, Graduate Technological Educational Institute, Patras 223 34, Greece
Received: 6 February 2013 / Revised: 21 May 2013 / Accepted: 22 May 2013 / Published: 31 May 2013
View Full-Text   |   Download PDF [480 KB, uploaded 31 May 2013]   |  

Abstract

Fuzzy logic, which is based on fuzzy sets theory introduced by Zadeh in 1965, provides a rich and meaningful addition to standard logic. The applications which may be generated from or adapted to fuzzy logic are wide-ranging and provide the opportunity for modeling under conditions which are imprecisely defined. In this article we develop a fuzzy model for assessing student groups’ knowledge and skills. In this model the students’ characteristics under assessment (knowledge of the subject matter, problem solving skills and analogical reasoning abilities) are represented as fuzzy subsets of a set of linguistic labels characterizing their performance, and the possibilities of all student profiles are calculated. In this way, a detailed quantitative/qualitative study of the students’ group performance is obtained. The centroid method and the group’s total possibilistic uncertainty are used as defuzzification methods in converting our fuzzy outputs to a crisp number. According to the centroid method, the coordinates of the center of gravity of the graph of the membership function involved provide a measure of the students’ performance. Techniques of assessing the individual students’ abilities are also studied and examples are presented to illustrate the use of our results in practice.
Keywords: fuzzy sets; fuzzy logic; defuzzification; students’ assessment fuzzy sets; fuzzy logic; defuzzification; students’ assessment
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Voskoglou, M.G. Fuzzy Logic as a Tool for Assessing Students’ Knowledge and Skills. Educ. Sci. 2013, 3, 208-221.

Show more citation formats Show less citations formats

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Educ. Sci. EISSN 2227-7102 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top