Measurement specialists strive to shorten assessment time without compromising precision of scores. Computerized Adaptive Testing (CAT) has rapidly gained ground over the past decades to fulfill this goal. However, parameters for implementation of CATs need to be explored in simulations before implementation so that it can be determined whether…

The Self-Determination Inventory: Student Report (SDI: SR) was developed to measure the self-determination of adolescents and was recently validated for students aged 13-22 with and without disabilities across diverse racial/ethnic backgrounds. The SDI: SR is aligned Causal Agency Theory and its theoretical conceptualizations of self-determined…

A recent, widely publicized scandal involved students who obtained fraudulent diagnoses of learning disabilities in an effort to get accommodations on college admissions tests. Although the exact circumstances of the scandal are unusual, the methods used to obtain diagnoses and accommodations illustrate widespread problems with current policies.…

We draw upon Appadurai's 'scapes' and Latour's Actor Network Theory (ANT) to interrogate historical and spatial flows in relation to specific testing technologies. We reveal how testing systems, conceptualised as actor-networks, rearticulate colonial legacies of inequality which are intensified by new and emerging technologies. ANT helps trace…

This study was conducted to reveal potential sources of students' difficulty and misconceptions about geometrical concepts with the help of eye tracking. In this study, the students' geometrical misconceptions were explored by answering the questions on the geometry test prepared based on the literature and test-taking processes and represented…

Recent research has demonstrated an intersectional approach to the study of differential item functioning (DIF). This approach expands DIF to account for the interactions between what have traditionally been treated as separate grouping variables. In this paper, we compare traditional and intersectional DIF analyses using data from a state testing…

This research, following a sequential mixed-methods design, delves into metacognitive control in problem solving among 5- to 6-year-olds, using two floor-robot environments. In an initial qualitative phase, 82 pupils participated in tasks in which they directed a floor robot to one of two targets, with the closer target requiring more cognitive…

Educational tools like EdPuzzle, PlayPosit, and Kaltura have gained recent attention, as they purportedly empower educators to incorporate questions, quizzes, and discussions into instructional videos. However, there is no empirical evidence on how or under what circumstances these platforms may impact students' learning. A quasi-experimental…

The retention of foundational knowledge is crucial in learning and teaching mathematics. However, a significant part of university students do not achieve long-term knowledge and problem-solving skills. A possible tool to increase further retention is testing, the strategic use of retrieval to enhance memory. In this study, the effect of a special…

Reading disorders, including reading comprehension disorders, are among the most common referrals for evaluation in schools. If that evaluation involves individually administered tests of reading, the examiner is faced with selecting at least one reading comprehension subtest that is inherently associated with specific task demands, such as a…

Quizzes are a widely used method for enhancing student performance in college-level courses. This study examined the effects of weekly quizzes for credit versus weekly quizzes for no credit on the performance of undergraduate students in two sections of an Introductory Psychology course. Results suggest that giving quizzes for credit led to better…

Innovation courses are needed in higher education to meet workforce demands and prepare students for societal challenges. Assessment of outcomes can be challenging in innovation courses, particularly those that leverage diversity to drive innovation. The authors report on assessment methods in one such course at a public university using the…

Predicting academic performance for students majoring in computer science has long been a significant field of research in computing education. Previous studies described that accurate prediction of students' early-stage performance could identify low-performing students and take corrective action to improve performance. Besides, adopting machine…

Data on attaining indicators of early speech, language, and literacy development, notably phonological awareness, among children with visual impairments (VI) are limited. This U.S. study utilized the "National Survey of Children's Health" (NSCH), 2016-2020, to observe the distinctive population of children with VI and speech, language,…

As universities shifted to online education with the onset of the Coronavirus Disease 2019 (COVID-19) pandemic, both pedagogy and assessment patterns across disciplines underwent a change, with a shift towards collaborative digital assessments. In this context, using qualitative and quantitative methods for data collection from an assessment…