Educational Technology and Assessment

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This paper presents a real-data application of a recently developed method of standard setting, referred to as the response vector for mastery (RVM) method, and compares its performance with the popular Angoff method (an extended version) and cluster analysis method (CAM). The RVM enables the derivation of cut-scores…

Applied engineering projects contribute to the education and professional development of engineering students. For the success of projects and benefit of all stakeholders, admission of suitable students is essential. This study offers an effective, structured and fair approach by combining Analytic Hierarchy Process (…

The rapid decline of clean water resources, caused by climate change, population growth, and bad water management, is a big threat to both the environment and agriculture.In Türkiye, about 75% of clean water is used for irrigation in agriculture, which shows how important it is for this sector to use water wisely.This…

• UMUT AYDIN

In this study, a novel decision support model integrating spherical fuzzy sets enhanced with autoencoder-based dimensionality reduction, MEREC weighting, and CODAS ranking methods is proposed for high-dimensional, uncertain multi-criteria decision problems. The spherical fuzzy set structure allows decision makers to e…

• UMUT AYDIN

This study investigates the application of machine learning techniques to predict students' final letter grades based on their midterm and quiz scores. The research utilizes a dataset comprising 5,001 students enrolled in courses taught by twelve faculty members. Following the application of predefined eligibility cri…

• BEDİRHAN KÖKSOY

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• ZEYNEP BAYSAL

Applied education models aim to prepare students for professional careers by bridging the gap between theoretical knowledge and practical experience. However, existing literature on these models has mostly focused on expert and institutional perspectives, with limited consideration given to students' perceptions and e…

• SEMA ÇİFTÇİ ER

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• HAMİDE ÖZYÜREK
• ZEYNEP BAYSAL

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• MUSTAFA POLAT
• UFUK TÜREN

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• HAMİDE ÖZYÜREK
• UFUK TÜREN

This study investigates the application of machine learning techniques to predict students' final letter grades based on their midterm and quiz scores. The research utilizes a dataset comprising 5,001 students enrolled in courses taught by twelve faculty members. Following the application of predefined eligibility cri…

• ALİ PAŞAOĞLU