POSSIBILITIES TO EVALUATE THE QUALITY OF EDUCATION BY VERIFYING THE DISTRIBUTION OF MARKS

In the higher education, for the evaluation of education process it is of high interest to use some numeric indicators obtained from the database with the final results realized by the students on exams session. For this purpose could be used the following numeric indicators: proportion of studen...

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Main Authors: Alexandru BOROIU, Monica BÂLDEA, Mihaela ISTRATE, Andrei-Alexandru BOROIU
Format: Article
Language:English
Published: Academica Brancusi 2015-05-01
Series:Fiabilitate şi Durabilitate
Subjects:
Online Access:http://www.utgjiu.ro/rev_mec/mecanica/pdf/2015-01.Supliment/35_Alexandru%20BOROIU,%20Monica%20BALDEA,%20Mihaela%20ISTRATE,%20Andrei-Alexandru%20BOROIU%20-%20POSSIBILITIES%20TO%20EVALUATE%20THE%20QUALITY%20OF%20EDUCATION%20BY%20VERIFYING%20THE%20DISTRIBUTION%20OF%20MARKS.pdf
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spelling doaj-51e3a72539704689b0dad28e08a32c8b2020-11-24T21:31:41ZengAcademica BrancusiFiabilitate şi Durabilitate1844-640X1844-640X2015-05-011-suppl1223229POSSIBILITIES TO EVALUATE THE QUALITY OF EDUCATION BY VERIFYING THE DISTRIBUTION OF MARKSAlexandru BOROIU0Monica BÂLDEA1Mihaela ISTRATE2Andrei-Alexandru BOROIU3University of Pitești,University of Pitești,University of Pitești,University of Pitești,In the higher education, for the evaluation of education process it is of high interest to use some numeric indicators obtained from the database with the final results realized by the students on exams session. For this purpose could be used the following numeric indicators: proportion of students absent on final evaluation, proportion of non-promoted students, normality degree of passing marks distribution. In order to do this we realized an Excel calculation program that could be applied to each discipline. The inputs are concrete (students total, students present to final evaluation, marks absolute frequency) and the outputs for the three indicators are binary (competent or noncompetent, in the last situation the verdict being: “Give explanations. Propose an action plan, with actions, responsible and terms”). To verify the imposed normality degree we elaborate a calculation program based on Kolmogorov-Smirnov concordance test. So, it was realized the increase of analyze objectivity and it was created the opportunity to apply corrective measures in order to improve the education process.http://www.utgjiu.ro/rev_mec/mecanica/pdf/2015-01.Supliment/35_Alexandru%20BOROIU,%20Monica%20BALDEA,%20Mihaela%20ISTRATE,%20Andrei-Alexandru%20BOROIU%20-%20POSSIBILITIES%20TO%20EVALUATE%20THE%20QUALITY%20OF%20EDUCATION%20BY%20VERIFYING%20THE%20DISTRIBUTION%20OF%20MARKS.pdfeducationqualitynormalitydistributionconcordance test.
collection DOAJ
language English
format Article
sources DOAJ
author Alexandru BOROIU
Monica BÂLDEA
Mihaela ISTRATE
Andrei-Alexandru BOROIU
spellingShingle Alexandru BOROIU
Monica BÂLDEA
Mihaela ISTRATE
Andrei-Alexandru BOROIU
POSSIBILITIES TO EVALUATE THE QUALITY OF EDUCATION BY VERIFYING THE DISTRIBUTION OF MARKS
Fiabilitate şi Durabilitate
education
quality
normality
distribution
concordance test.
author_facet Alexandru BOROIU
Monica BÂLDEA
Mihaela ISTRATE
Andrei-Alexandru BOROIU
author_sort Alexandru BOROIU
title POSSIBILITIES TO EVALUATE THE QUALITY OF EDUCATION BY VERIFYING THE DISTRIBUTION OF MARKS
title_short POSSIBILITIES TO EVALUATE THE QUALITY OF EDUCATION BY VERIFYING THE DISTRIBUTION OF MARKS
title_full POSSIBILITIES TO EVALUATE THE QUALITY OF EDUCATION BY VERIFYING THE DISTRIBUTION OF MARKS
title_fullStr POSSIBILITIES TO EVALUATE THE QUALITY OF EDUCATION BY VERIFYING THE DISTRIBUTION OF MARKS
title_full_unstemmed POSSIBILITIES TO EVALUATE THE QUALITY OF EDUCATION BY VERIFYING THE DISTRIBUTION OF MARKS
title_sort possibilities to evaluate the quality of education by verifying the distribution of marks
publisher Academica Brancusi
series Fiabilitate şi Durabilitate
issn 1844-640X
1844-640X
publishDate 2015-05-01
description In the higher education, for the evaluation of education process it is of high interest to use some numeric indicators obtained from the database with the final results realized by the students on exams session. For this purpose could be used the following numeric indicators: proportion of students absent on final evaluation, proportion of non-promoted students, normality degree of passing marks distribution. In order to do this we realized an Excel calculation program that could be applied to each discipline. The inputs are concrete (students total, students present to final evaluation, marks absolute frequency) and the outputs for the three indicators are binary (competent or noncompetent, in the last situation the verdict being: “Give explanations. Propose an action plan, with actions, responsible and terms”). To verify the imposed normality degree we elaborate a calculation program based on Kolmogorov-Smirnov concordance test. So, it was realized the increase of analyze objectivity and it was created the opportunity to apply corrective measures in order to improve the education process.
topic education
quality
normality
distribution
concordance test.
url http://www.utgjiu.ro/rev_mec/mecanica/pdf/2015-01.Supliment/35_Alexandru%20BOROIU,%20Monica%20BALDEA,%20Mihaela%20ISTRATE,%20Andrei-Alexandru%20BOROIU%20-%20POSSIBILITIES%20TO%20EVALUATE%20THE%20QUALITY%20OF%20EDUCATION%20BY%20VERIFYING%20THE%20DISTRIBUTION%20OF%20MARKS.pdf
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