This study aims to investigate the relation between preschoolers' social skills as a mediator and delay of gratification as a moderator, and their cognitive distraction strategies and problem behaviors. The participants of this study were 100 randomly selected preschoolers aged 3 to 5 years, who were attending a private preschool in Ankara, the…

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 co-occurrence between autism and gender dysphoria has received much attention recently. We found that, among 101 adults from the general population number of autism traits, as measured using the autism-spectrum quotient was associated significantly with recalled and current gender dysphoric traits. Furthermore, performance on an objective…

Cognitive diagnosis models (CDMs) have gained increasing popularity recently because of their potential to provide diagnostic inferences that can inform learning and teaching. However, the development of cognitive diagnostic assessments (CDAs) is lagging behind the development of the associated psychometric models. At present, it is not clear…

This study aims to conduct differential item functioning analyses in the context of cognitive diagnosis assessments using various formulations of the Wald test. In implementing the Wald test, two scenarios are considered: one where the underlying reduced model can be assumed; and another where a saturated CDM is used. Illustration of the different…

Interest plays a critical role in learning and development. It is able to compel students toward short term exploration, motivating them toward the pursuit of future goals, as well as leading to the development of knowledge and cognitive abilities. Interest also enables students to rise above perceived restrictions and limitations to achieve their…

The study was carried out from 2018 to 2020 with the challenge - how to assess the level of computational thinking. The research design is mixed since the disclosure of mutual influence of the components of the chain 'learning programming -- computational thinking -- evaluating computational thinking' requires the use of both qualitative and…

The purpose of this study is to investigate the use of both formative and summative assessment in Taiwan and the United States. The focus is on the comparisons between undergraduate and graduate students and between U.S. and Taiwanese students in their attitudes toward the use of assessment in higher education. Responses from 349 undergraduate and…

The main goal of this study was to validate the strategy for the assessment of the cognitive complexity of chemical kinetics exam items. The strategy included three steps: 1) assessment of the difficulty of concepts, 2) assessment of distractor value, and 3) assessment of concepts' interactivity. One of the tasks was to determine whether there…

This experimental study examined the effects of segmentation and self-explanation designs on cognitive load in instructional videos. Four types of instructional videos (segmentation, self-explanation, combined, and control) were created and tested by 121 undergraduate students randomly assigned to one of four research groups. The results of…

This article demonstrates the importance of school psychologists' understanding of which type of cognitive or developmental measure is most appropriate when working with young children with cerebral palsy (CP). Cognitive profiles vary greatly within this population and motor impairments also need to be taken into consideration. School…

This study aims to evaluate the effect of the interaction between crowdsourcing style and cognitive style on the development of research and scientific thinking skills among postgraduate students at Alexandria University, by designing an e-learning environment. The current research used an experimental approach with a quasi-experimental design.…

Categorical data become increasingly ubiquitous in the modern big data era. In this dissertation, we propose novel statistical learning and inference methods for large-scale categorical data, focusing on latent variable models and their applications to psychometrics. In psychometric assessments, the subjects' underlying aptitude often cannot be…

Metacognition refers to a set of processes an individual uses in monitoring ongoing cognition so as to effectively control his or her own behavior. In this article, I discuss key frameworks for characterizing metacognition and describe approaches to measuring metacognition. Modern research in metacognition assumes that monitoring of cognition…

Following the outbreak of COVID-19, the adoption of online teaching and learning in universities has witnessed phenomenal growth. Importantly, online learning engagement and satisfaction have consequences on student learning outcomes and behavioural intentions. However, a model that integrates social support, computer/internet self-efficacy and…