Implementation of Fuzzy Functions Aimed at Fairer Grading of Students’ Tests
The main goal of this research is to achieve fairer assessment of students’ knowledge and skills in tests in view of the fact that learners with similar abilities are often assigned different test grades if their achievements are borderline cases between two grades. As an example, a studen...
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doaj-57da99e89bab46898f5b2c1255d439762020-11-25T00:28:02ZengMDPI AGEducation Sciences2227-71022019-08-019321410.3390/educsci9030214educsci9030214Implementation of Fuzzy Functions Aimed at Fairer Grading of Students’ TestsVanya Ivanova0Boyan Zlatanov1Department of Education in Mathematics, Informatics and Information Technology, Faculty of Mathematics and Informatics, University of Plovdiv “Paisii Hilendarski”, Plovdiv 4000, BulgariaDepartment of Mathematical Analysis, Faculty of Mathematics and Informatics, University of Plovdiv “Paisii Hilendarski”, Plovdiv 4000, BulgariaThe main goal of this research is to achieve fairer assessment of students’ knowledge and skills in tests in view of the fact that learners with similar abilities are often assigned different test grades if their achievements are borderline cases between two grades. As an example, a student who has scored 29 points out of 60 in a test will fail, while another one with 30 or 31 points will pass, which can be viewed as unjust. This problem is addressed by using fuzzy logic and different fuzzy functions to determine whether students with borderline test scores are assigned the higher or the lower grade of the two. Furthermore, although changing the grades of individual students, the authors endeavor to preserve the overall score of all test takers statistically unchanged.https://www.mdpi.com/2227-7102/9/3/214fuzzy logicfuzzy setsevaluationassessmenttesting |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Vanya Ivanova Boyan Zlatanov |
spellingShingle |
Vanya Ivanova Boyan Zlatanov Implementation of Fuzzy Functions Aimed at Fairer Grading of Students’ Tests Education Sciences fuzzy logic fuzzy sets evaluation assessment testing |
author_facet |
Vanya Ivanova Boyan Zlatanov |
author_sort |
Vanya Ivanova |
title |
Implementation of Fuzzy Functions Aimed at Fairer Grading of Students’ Tests |
title_short |
Implementation of Fuzzy Functions Aimed at Fairer Grading of Students’ Tests |
title_full |
Implementation of Fuzzy Functions Aimed at Fairer Grading of Students’ Tests |
title_fullStr |
Implementation of Fuzzy Functions Aimed at Fairer Grading of Students’ Tests |
title_full_unstemmed |
Implementation of Fuzzy Functions Aimed at Fairer Grading of Students’ Tests |
title_sort |
implementation of fuzzy functions aimed at fairer grading of students’ tests |
publisher |
MDPI AG |
series |
Education Sciences |
issn |
2227-7102 |
publishDate |
2019-08-01 |
description |
The main goal of this research is to achieve fairer assessment of students’ knowledge and skills in tests in view of the fact that learners with similar abilities are often assigned different test grades if their achievements are borderline cases between two grades. As an example, a student who has scored 29 points out of 60 in a test will fail, while another one with 30 or 31 points will pass, which can be viewed as unjust. This problem is addressed by using fuzzy logic and different fuzzy functions to determine whether students with borderline test scores are assigned the higher or the lower grade of the two. Furthermore, although changing the grades of individual students, the authors endeavor to preserve the overall score of all test takers statistically unchanged. |
topic |
fuzzy logic fuzzy sets evaluation assessment testing |
url |
https://www.mdpi.com/2227-7102/9/3/214 |
work_keys_str_mv |
AT vanyaivanova implementationoffuzzyfunctionsaimedatfairergradingofstudentstests AT boyanzlatanov implementationoffuzzyfunctionsaimedatfairergradingofstudentstests |
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1725337193866592256 |