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Direct linkBeyza Aksu Dunya; Stefanie Wind – International Journal of Testing, 2025
We explored the practicality of relatively small item pools in the context of low-stakes Computer-Adaptive Testing (CAT), such as CAT procedures that might be used for quick diagnostic or screening exams. We used a basic CAT algorithm without content balancing and exposure control restrictions to reflect low stakes testing scenarios. We examined…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Achievement
Yunting Liu; Shreya Bhandari; Zachary A. Pardos – British Journal of Educational Technology, 2025
Effective educational measurement relies heavily on the curation of well-designed item pools. However, item calibration is time consuming and costly, requiring a sufficient number of respondents to estimate the psychometric properties of items. In this study, we explore the potential of six different large language models (LLMs; GPT-3.5, GPT-4,…
Descriptors: Artificial Intelligence, Test Items, Psychometrics, Educational Assessment
ShareStats: An Open Statistics Item Bank Developed by a Community of Instructors in Higher Education
Kirsten Namesnik-Silvester; Marike Polak; Niels Smits; Joukje Swinkels; Lidia Arends; Dimitris Pavlopoulos; Anastasios Psychogyiopoulos; Oliver Lindemann; Sharon Klinkenberg; Marleen H. M. de Moor – Teaching Statistics: An International Journal for Teachers, 2025
Gaining knowledge of statistics is important in most (under)graduate programs within the social and behavioral sciences and requires repeated study by students, highlighting the need for good practice materials. We describe the development of an open item bank of statistics exercises by a community of instructors from Dutch universities: the…
Descriptors: Statistics Education, Undergraduate Students, Graduate Students, Foreign Countries
