Diagnostic tests are typically administered in a multiple-choice (MC) format due to their advantages of objectivity and time efficiency. The MC-deterministic input, noisy "and" gate (DINA) family of models, a representative class of cognitive diagnostic models for MC items, efficiently and parsimoniously estimates the mastery profiles of…

Background: Cognitive load theory is widely used in educational research and instructional design, which relies heavily on conceptual constructs and measurement instruments of cognitive load. Due to its implicit nature, cognitive load is usually measured by other related instruments, such as commonly-used self-report scales of mental effort or…

One of the central components of cognitive diagnostic assessment is the Q-matrix, which is an essential loading indicator matrix and is typically constructed by subject matter experts. Nonetheless, to a large extent, the construction of Q-matrix remains a subjective process and might lead to misspecifications. Many researchers have recognized the…

Background: Individuals with dementia have communication limitations resulting from cognitive impairments that define the syndrome. Whereas there are numerous cognitive assessments for individuals with dementia, there are far fewer communication assessments. The Profiling Communication Ability in Dementia (P-CAD) was developed to address this gap.…

This study aims to assess the overall impact of vocabulary development interventions on cognitive vocabulary outcomes. To achieve this, 43 theses on vocabulary teaching, each involving a specific intervention, were analyzed using meta-analysis. The findings from the meta-analysis, based on the random effects model, indicated that the average…

Background: This study offers a comprehensive review of academic performance measurement instruments in physical activity and education settings, aiming to provide a comprehensive list of tools used for measuring academic performance in relation to variables associated with physical activity. Methods: Academic performance outcomes, including…

Background: The current study aimed to investigate the associations between cognitive abilities, grit, and academic achievement in high school STEM studies. The study utilized a natural sample of excelling STEM students (N = 814) who underwent a selection process to join elite undergraduate STEM programs. Through this selection process, the…

Background: Friendship quality is crucial for psychological well-being, yet is often lower in persons with intellectual disabilities compared to their peers. This study explores the predictors of friendship quality among adults with mild intellectual disability, focusing on age, gender, living setting, psychiatric traits, and social cognition.…

In contrast to traditional views of instructional design that are often focused on content development, researchers are increasingly exploring learning experience design (LXD) perspectives as a way to espouse a broader and more holistic view of learning. In addition to cognitive and affective perspectives, LXD includes perspectives on…

This study aimed to address the need for a comprehensive assessment tool to evaluate the mathematical abilities of first-grade students through cognitive diagnostic assessment (CDA). The primary challenge involved in this endeavor was to delineate the specific cognitive skills and sub-skills pertinent to first-grade mathematics (FG-M) and to…

The global shortage of skilled programmers remains a persistent challenge. High dropout rates in introductory programming courses pose a significant obstacle to graduation. Previous studies highlighted learning difficulties in programming students, but their specific weaknesses remained unclear. This gap exists due to the predominant focus on the…