Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

Diagnostic classification models (DCMs) have grown in popularity as stakeholders increasingly desire actionable information related to students' skill competencies. Longitudinal DCMs offer a psychometric framework for providing estimates of students' proficiency status transitions over time. For both cross-sectional and longitudinal DCMs, it is…

Accurate measurement of wisdom is the cornerstone of wisdom research. To provide a representative reference for the reliability level and moderating factors of various wisdom self-rating scales, we carried out a reliability generalization meta-analysis of Chinese and English references retrieved from 2004 to 2023. A total of 149 articles were…

Recently, Bayesian diagnostic classification modeling has been becoming popular in health psychology, education, and sociology. Typically information criteria are used for model selection when researchers want to choose the best model among alternative models. In Bayesian estimation, posterior predictive checking is a flexible Bayesian model…

Considering the importance of mathematics in modern society, it is crucial to understand the cognitive processes involved in the acquisition of complex mathematical competency. As a new generation of evaluation theory, cognitive diagnosis has its unique advantages in personalized evaluation. Based on the mathematical cognitive framework of Trends…

We study the existence of a gender gap between two methods of grading student achievement in Spain, namely teachers' assessment which measures cognitive outcomes and standardised test scores, which are consistent across Spanish schools. We use rich census information of Andalusian students attending secondary schools. Our results indicate that…

To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…

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…

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…

Dynamic Assessment (DA) is an interactive form of cognitive assessment used by some educational psychologists (EPs) to assess the learning potential of children and young people, through a focus on cognitive and affective aspects of learning. In terms of UK EP practice, this approach has the potential to complement the focus on 'person-centred…