In this article, we systematize the factors influencing performance and feasibility of automatic content scoring methods for short text responses. We argue that performance (i.e., how well an automatic system agrees with human judgments) mainly depends on the linguistic variance seen in the responses and that this variance is indirectly influenced…

The article describes practical suggestions for measurement researchers and psychometricians to respond to calls for social responsibility in assessment. The underlying assumption is that personalizing large-scale assessment improves the chances that assessment and the use of test scores will contribute to equity in education. This article…

This study examines the hypothesis that having an older sister causes one to perform relatively better at reading. For the analysis, a cross-subject analysis is conducted to examine a student's relative reading test score (reading test score minus math test score) based on older sibling gender. We found that a student's relative reading test score…

Introduction: The VO[subscript 2] max test is the gold standard measure for aerobic fitness. A standardised treadmill protocol was developed years ago for individuals with Down syndrome but with variations in terms of starting speed, load increases and time spent at each stage. However, we realised that the most widely used protocol for adults…

Background: A well-developed proprioceptive system is essential for motor control, muscle tone and voluntary movements. Sound proprioceptive development of young children can positively influence their motor abilities, while adequate movement abilities consequently form a strong foundation for young children entering the formal school setting.…

This research synthesizes studies that used a Digitalized Interactive Component (DIC) to assess K-12 student performance during Computer-based-Assessments (CBAs) in mathematics. A systematic search identified ten studies, including four that provided language assistance and six that provided response-construction support. We reported on the one…

Although science and engineering (S&E) fields continue to grow, certain groups including first-generation students and women remain underrepresented among S&E degree recipients. Mathematics, specifically calculus, is often the gatekeeper to entering STEM majors that open the pathway to financially lucrative careers in S&E. Although…

Despite the fact that the digital administration format of Wechsler Intelligence Scale for Children-Fifth Edition (WISC-V) was published in 2016, no research to date has examined its factor structure using all 10 of the primary subtests to measure intellectual ability. The purpose of this study, therefore, was to use exploratory and confirmatory…

Random item effects item response theory (IRT) models, which treat both person and item effects as random, have received much attention for more than a decade. The random item effects approach has several advantages in many practical settings. The present study introduced an explanatory multidimensional random item effects rating scale model. The…

Gifted and talented services have a long and tainted history. Since their inception, they have not served a student population that mirrored the racial, ethnic, or socioeconomic diversity of the nation as a whole. But this need not be the case. Contemporary approaches to gifted education can advance the goals of equity and school integration. In…

The artificial intelligence chatbot ChatGPT was used to answer questions from final exams administered in two general chemistry courses, including questions with closed-response format and with open-response format. For closed-response questions, ChatGPT was very capable at identifying the concept even when the question included a great deal of…

Increased use of computer-based assessments has facilitated data collection processes that capture both response product data (i.e., correct and incorrect) and response process data (e.g., time-stamped action sequences). Evidence suggests a strong relationship between respondents' correct/incorrect responses and their problem-solving proficiency…

This dissertation examines the effectiveness of machine learning algorithms and feature engineering techniques for analyzing process data and predicting test performance. The study compares three classification approaches and identifies item-specific process features that are highly predictive of student performance. The findings suggest that…

Educators have long been awash in a sea of standardized test score data, with the understanding that their engagement with these data will lead to improvement in teaching and learning. But, in practice, these data have often been too infrequent, too lagging, and too distant from day-to-day practice to inform actionable next steps. To improve…

Healthcare providers play a key role in early identification of eating disorders (EDs), especially in underserved states where ED treatment resources are lacking. Currently, there is little known about ED screening and treatment practices in underserved states. The current study assessed current ED screening and treatment practices among…