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Direct linkSandra Camargo Salamanca; Maria Elena Oliveri; April L. Zenisky – International Journal of Testing, 2025
This article describes the 2022 "ITC/ATP Guidelines for Technology-Based Assessment" (TBA), a collaborative effort by the International Test Commission (ITC) and the Association of Test Publishers (ATP) to address digital assessment challenges. Developed by over 100 global experts, these "Guidelines" emphasize fairness,…
Descriptors: Guidelines, Standards, Technology Uses in Education, Computer Assisted Testing
Liou, Gloria; Bonner, Cavan V.; Tay, Louis – International Journal of Testing, 2022
With the advent of big data and advances in technology, psychological assessments have become increasingly sophisticated and complex. Nevertheless, traditional psychometric issues concerning the validity, reliability, and measurement bias of such assessments remain fundamental in determining whether score inferences of human attributes are…
Descriptors: Psychometrics, Computer Assisted Testing, Adaptive Testing, Data
Cui, Ying; Guo, Qi; Leighton, Jacqueline P.; Chu, Man-Wai – International Journal of Testing, 2020
This study explores the use of the Adaptive Neuro-Fuzzy Inference System (ANFIS), a neuro-fuzzy approach, to analyze the log data of technology-based assessments to extract relevant features of student problem-solving processes, and develop and refine a set of fuzzy logic rules that could be used to interpret student performance. The log data that…
Descriptors: Inferences, Artificial Intelligence, Data Analysis, Computer Assisted Testing
