Student opinions on the evaluation of performance with fuzzy logic method in art and design education

Oct 15, 2026

Uploaded by Mabel

Research explores students’ views on evaluating AI-supported design applications in art and design education using fuzzy logic. The study assigns DALL-E based design projects to 21 first-year Visual Communication students in western Türkiye and collects data through semi-structured interviews. Validated interview questions are analyzed with MAXQDA, using an intercoder agreement of 97.32%. Results show fuzzy-logic evaluation increases creativity, strengthens motivation, improves reliability over traditional assessment, and enhances self-efficacy via better technology skills.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages14

Reading Time35 min

AccessFree to download

Abstract

Introduction

Rationale for modern assessment

Limitations of traditional artwork assessment

Role of evaluation and need for alternative methods

Fuzzy logic in education

Asian Journal of Contemporary Education ISSN(e): 2617-1252 DOI: 10. 55493/5052 . v9i2 .5537 Vol. 9, No. 2, 199-212. © 2025 AESS Publications. All Rights Reserved. Student opinions on the evaluation of performance with fuzzy logic method in art and design education Sehran Dilmaç 1+ Oğuz Dilmaç2 1,2Department of Basic Art Education, Art and Design Faculty, İzmir Katip Çelebi University, İzmir, Türkiye 1Email: [sehran.dilmac@ikcu.edu.tr](sehran.dilmac@ikcu.edu.tr) [2](2Email: oguz.dilmac@ikcu.edu.tr)[Email:](2Email: oguz.dilmac@ikcu.edu.tr)[ ](2Email: oguz.dilmac@ikcu.edu.tr)[oguz.dilmac@ikcu.edu.tr](2Email: oguz.dilmac@ikcu.edu.tr) (+ Corresponding author) ABSTRACT Article History Received: 28 May 2025 Revised: 4 August 2025 Accepted: 12 August 2025 Published: 29 August 2025 Keywords Art education Artificial intelligence Assessment Design education Fuzzy logic Machine learning. This research was conducted to obtain students' views on the evaluation of artificial intelligence (AI)-supported design applications in art and design education using the fuzzy logic method. It aims to provide a new perspective for educators in identifying real learning situations and deficiencies in art and design education. The study utilized the DALL-E AI tool developed by OpenAI in design projects assigned to students in a basic art education course. The research took place during the autumn semester of the 2024- 2025 academic year with 21 first-year students from the Visual Communication Department at the Faculty of Art and Design of a university located in western Turkey, all of whom participated voluntarily. A semi-structured interview, a qualitative research method, was employed as the data collection model. The interview questions were validated and analyzed using MAXQDA qualitative data analysis software, with an intercoder agreement of 97.32% . The findings indicated that evaluating students' work with fuzzy logic increased their creativity, positively influenced their motivation towards the course, proved to be a more reliable evaluation method compared to traditional approaches, and enhanced their self-efficacy by improving their technological skills. Contribution/ Originality: This study aims to contribute significantly to quality improvement efforts in art and design education. It supports the integration of emerging technologies with traditional visual arts by promoting the analysis of new concepts and the refinement of existing methods. In doing so, it offers theoretical support for practical research and advances the field of art and design education. 1. INTRODUCTION Art education, which is an important part of education, has an important place in developing students' creative and critical thinking skills as well as their aesthetic perception by guiding them in certain technical ways (EganadelSol, 2023) . In order to measure and evaluate these skills at the end of the course, assessment tools different from traditional methods are needed. These assessments will also help teachers identify their own shortcomings and continuously improve themselves, thereby enhancing the overall quality of teaching. Additionally, assessment information can be fed back in a timely manner, increasing students' motivation to learn. The evaluation of art teaching is the most important part of the whole art teaching activity. During this process, it is believed that the student's perceptual, aesthetic qualities, and self-expression skills improve. For this reason, the learning process and evaluation of the learning process are as important as product (outcome) evaluation. Especially in today's world, where artificial intelligence is becoming increasingly important, the courses taught in line with the traditional teaching approach are unable to meet the needs of the students. Therefore, traditional assessment models need to be reorganized in line with the needs of the age (Yanko, 2021) . It is a fact that real-world

FAQs

What is the purpose of this research?

To obtain students’ views on evaluating AI-supported design applications in art and design education using the fuzzy logic method.

How was the study conducted and what data analysis was used?

A semi-structured interview was used with 21 first-year students. Interview data were validated and analyzed in MAXQDA with an intercoder agreement of 97.32%.

What outcomes did the fuzzy logic evaluation show?

It increased creativity, positively influenced motivation, proved more reliable than traditional approaches, and improved self-efficacy by developing technological skills.

Oct 15, 2026

Uploaded by Mabel