Mathematics is a rich and beautiful playground of ideas, the apex of human creativity and ingenuity, applicable to all the world around us: humankind's best effort at understanding and describing the universe. Mathematics examinations aren't this. They're uninspiring and trauma-inducing, with an emphasis on routine calculations and easy-to-grade…

Bayesian methods offer many advantages when applied to psychological research, yet they may seem esoteric to researchers who are accustomed to traditional methods. This paper aims to lower the barrier of entry for developmental psychologists who are interested in using Bayesian methods. We provide worked examples of how to analyze common study…

The arrival of ChatGPT and other artificial intelligence (AI) has caused considerable concern for educators worldwide, many of whom are still recovering from the impact of the COVID-19 pandemic. Although the debate continues around the use of AI in education, one approach to ensure students are achieving their learning objectives, the oral exam or…

While disruptions to typical education, special education, and psycho-educational service delivery practices in response to the COVID-19 pandemic have dissipated, their impact magnified educational systems' overreliance on evaluations to determine eligibility for special education and related services. Given that the potential for future…

Background and Context: Students' programming projects are often assessed on the basis of their tests as well as their implementations, most commonly using test adequacy criteria like branch coverage, or, in some cases, mutation analysis. As a result, students are implicitly encouraged to use these tools during their development process (i.e., so…

Multiple measures, such as multiple content domains or multiple types of performance, are used in various testing programs to classify examinees for screening or selection. Despite the popular usages of multiple measures, there is little research on classification consistency and accuracy of multiple measures. Accordingly, this study introduces an…

This commentary focuses on one of the positive impacts of COVID-19, which was to tie societal inequity to testing in a manner that could motivate the reimagining of our field. That reimagining needs to account for our nation's dramatically changing demographics so that assessment generally, and standardized testing specifically, better fit the…

Autism Spectrum Disorder (ASD) is a heterogeneous condition associated with differences in functional neural connectivity relative to neurotypical (NT) peers. Language-based functional connectivity represents an ideal context in which to characterize connectivity because language is heterogeneous and linked to core features in ASD, and NT language…

The subjective aspect of standard-setting is often criticized, yet data-driven standard-setting methods are rarely applied. Therefore, we applied a mixture Rasch model approach to setting performance standards across several testing programs of various sizes and compared the results to existing passing standards derived from traditional…

Factor analysis is often used to model scales created to measure latent constructs, and internal structure validity evidence is commonly assessed with indices like SRMR, RMSEA, and CFI. These indices are essentially effect size measures and definitive benchmarks regarding which values connote reasonable fit have been elusive. Simulations from the…

Scientific modeling is a vital educational practice that helps students apply scientific knowledge to real-world phenomena. Despite advances in AI, challenges in accurately assessing such models persist, primarily due to the complexity of cognitive constructs and data imbalances in educational settings. This study addresses these challenges by…

Two-stage testing (TST) involves individual testing followed by taking the same test in teams. Previously, Vogler and Robinson ("The Journal of Experimental Education," 84(4), 787-803, 2016) found that TST facilitated individual performance. The present study addressed methodological limitations in the Vogler and Robinson study in two…

This chapter identifies strategies for conducting assessments in medical schools. We make recommendations for planning, methodology, dissemination, and follow-up.

Over the past decade, testing and assessing spoken-language interpreting has garnered an increasing amount of attention from stakeholders in interpreter education, professional certification, and interpreting research. This is because in these fields assessment results provide a critical evidential basis for high-stakes decisions, such as the…

This systematic review examines the factors that facilitate student performance in oral assessments at the undergraduate and master's levels across diverse academic disciplines. As higher education increasingly shifts from traditional written assessments to alternative summative methods--partly in response to the rise of generative artificial…