The COVID-19 pandemic has impelled the majority of schools and universities around the
world to switch to remote teaching. One of the greatest challenges in online education is …

This paper provides a literature review of assessment of fit of item response theory models.
Various types of fit procedures for item response theory models are reviewed, with a focus …

The integration of artificial intelligence (AI) in educational measurement has revolutionized
assessment methods, enabling automated scoring, rapid content analysis, and personalized …

Complex interactive test items are becoming more widely used in assessments. Being
computer-administered, assessments using interactive items allow logging time-stamped …

This new text provides the most current coverage of measurement and psychometrics in a
single volume. Authors W. Holmes Finch and Brian F. French first review the basics of …

Cheating detection in large-scale assessment received considerable attention in the extant
literature. However, none of the previous studies in this line of research investigated the …

This book constructs a historical narrative to examine the social consequences of testing
faced by language-minoritized bilinguals in the United States. These consequences are …

Researchers frequently use machine-learning methods in many fields. In the area of
detecting fraud in testing, there have been relatively few studies that have used these …

In this paper, we compare the performance of 18 indicators of cheating on e-exams in higher
education. Basis of the study was a field experiment. The experimental setting was a …

An increasing concern of producers of educational assessments is fraudulent behavior
during the assessment (van der Linden, 2009). Benefiting from item preknowledge (eg …