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Bin Tan; Nour Armoush; Elisabetta Mazzullo; Okan Bulut; Mark J. Gierl – International Journal of Assessment Tools in Education, 2025
This study reviews existing research on the use of large language models (LLMs) for automatic item generation (AIG). We performed a comprehensive literature search across seven research databases, selected studies based on predefined criteria, and summarized 60 relevant studies that employed LLMs in the AIG process. We identified the most commonly…
Descriptors: Artificial Intelligence, Test Items, Automation, Test Format
Yasemin Duygu Esen; Filiz Isnaç; H. Deniz Gülleroglu – International Journal of Assessment Tools in Education, 2025
This study aims to determine the reliability of the Beck Depression Inventory (BDI), a widely used tool for diagnosing depression--a condition that significantly impacts individuals' lives--through meta-analysis, an advanced statistical technique. To achieve this objective, studies conducted in Turkey between 1961 and 2021 that utilized the Beck…
Descriptors: Foreign Countries, Depression (Psychology), Measures (Individuals), Test Reliability
Sümeyye Arkan; Sema Tan – International Journal of Assessment Tools in Education, 2025
Teachers' perceptions, attitudes, and opinions about students, curricula, or evaluation methods contribute to the development of students' talents. Thus, researchers often collect data from teachers to identify gifted students, determine educational practices to meet the students' needs and assess gifted education programs. Researchers often…
Descriptors: Talent Identification, Academically Gifted, Evaluation Methods, Measurement Techniques