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Intelligent Fuzzy Assessment System for English Academic Writing in Engineering Education

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

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Intelligent Fuzzy Assessment System for English Academic Writing in Engineering Education. / Baba, Ahmet Fevzi; Cin, Firdevs Melis; Ordukaya, Emre.

In: International Journal of Engineering Education, Vol. 31, No. 1(A), 01.2015, p. 83-93.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Baba, AF, Cin, FM & Ordukaya, E 2015, 'Intelligent Fuzzy Assessment System for English Academic Writing in Engineering Education', International Journal of Engineering Education, vol. 31, no. 1(A), pp. 83-93. <https://www.ijee.ie/contents/c310115A.html>

APA

Baba, A. F., Cin, F. M., & Ordukaya, E. (2015). Intelligent Fuzzy Assessment System for English Academic Writing in Engineering Education. International Journal of Engineering Education, 31(1(A)), 83-93. https://www.ijee.ie/contents/c310115A.html

Vancouver

Baba AF, Cin FM, Ordukaya E. Intelligent Fuzzy Assessment System for English Academic Writing in Engineering Education. International Journal of Engineering Education. 2015 Jan;31(1(A)):83-93.

Author

Baba, Ahmet Fevzi ; Cin, Firdevs Melis ; Ordukaya, Emre. / Intelligent Fuzzy Assessment System for English Academic Writing in Engineering Education. In: International Journal of Engineering Education. 2015 ; Vol. 31, No. 1(A). pp. 83-93.

Bibtex

@article{0d1f086757ea41cbb2c6bda1b103ce86,
title = "Intelligent Fuzzy Assessment System for English Academic Writing in Engineering Education",
abstract = "This paper aims to address the objectivity and reliability of academic writing assessment through the rule based fuzzy logic assessment system and to show the feasibility of computer assisted assessment in language learning. In this study, first, a user-friendly and rule based intelligent fuzzy writing assessment software (IFWAS) system was developed. The designed IFWAS is based on the Fuzzy Group Decision Support System (FGDSS), which provides a score and diagnostic feedback to students. The system has a flexible database to form written reinforcing feedback addressed both to students{\textquoteright} weaknesses and strengths in writing. Secondly, to see the efficacy of software in an educational setting, it was implemented to assess the academic English writing skills of 15 engineering students. The focus group interviews conducted with students andteachers after the empirical research underlined the importance of an objective and transparent assessment in learning; thus indicating that the educational use of software had positive pedagogical implications.",
author = "Baba, {Ahmet Fevzi} and Cin, {Firdevs Melis} and Emre Ordukaya",
year = "2015",
month = jan,
language = "English",
volume = "31",
pages = "83--93",
journal = "International Journal of Engineering Education",
issn = "0949-149X",
publisher = "Pergamon Press Ltd.",
number = "1(A)",

}

RIS

TY - JOUR

T1 - Intelligent Fuzzy Assessment System for English Academic Writing in Engineering Education

AU - Baba, Ahmet Fevzi

AU - Cin, Firdevs Melis

AU - Ordukaya, Emre

PY - 2015/1

Y1 - 2015/1

N2 - This paper aims to address the objectivity and reliability of academic writing assessment through the rule based fuzzy logic assessment system and to show the feasibility of computer assisted assessment in language learning. In this study, first, a user-friendly and rule based intelligent fuzzy writing assessment software (IFWAS) system was developed. The designed IFWAS is based on the Fuzzy Group Decision Support System (FGDSS), which provides a score and diagnostic feedback to students. The system has a flexible database to form written reinforcing feedback addressed both to students’ weaknesses and strengths in writing. Secondly, to see the efficacy of software in an educational setting, it was implemented to assess the academic English writing skills of 15 engineering students. The focus group interviews conducted with students andteachers after the empirical research underlined the importance of an objective and transparent assessment in learning; thus indicating that the educational use of software had positive pedagogical implications.

AB - This paper aims to address the objectivity and reliability of academic writing assessment through the rule based fuzzy logic assessment system and to show the feasibility of computer assisted assessment in language learning. In this study, first, a user-friendly and rule based intelligent fuzzy writing assessment software (IFWAS) system was developed. The designed IFWAS is based on the Fuzzy Group Decision Support System (FGDSS), which provides a score and diagnostic feedback to students. The system has a flexible database to form written reinforcing feedback addressed both to students’ weaknesses and strengths in writing. Secondly, to see the efficacy of software in an educational setting, it was implemented to assess the academic English writing skills of 15 engineering students. The focus group interviews conducted with students andteachers after the empirical research underlined the importance of an objective and transparent assessment in learning; thus indicating that the educational use of software had positive pedagogical implications.

M3 - Journal article

VL - 31

SP - 83

EP - 93

JO - International Journal of Engineering Education

JF - International Journal of Engineering Education

SN - 0949-149X

IS - 1(A)

ER -