Background: This study examined the developmental relationship between Chinese children's compounding awareness and vocabulary knowledge following a 4-year longitudinal design. Methods: A test battery that included measures of vocabulary knowledge, compounding awareness, nonverbal IQ, phonological awareness, rapid automatized naming, orthographic…

In the literature related to higher education, the concept of dropout has been approached from several perspectives and, over the years, its definition has been influenced by the use of diversified semantic interpretations. In a general higher education environment dropout can be broadly characterized as the act of a student engaged in a course…

Raven's Standard Progressive Matrices (Raven 1941) is a widely used 60-item long measure of general mental ability. It was recently suggested that, for situations where taking this test is too time consuming, a shorter version, comprised of only the last series of the Standard Progressive Matrices (Myszkowski and Storme 2018) could be used, while…

We analyze a 12-item version of Raven's Standard Progressive Matrices test, traditionally scored with the sum score. We discuss some important differences between assessment in practice and psychometric modelling. We demonstrate some advanced diagnostic tools in the freely available R package, dexter. We find that the first item in the test…

This study employed a descriptive-correlational research design to investigate the relationships of perceived leadership styles and emotional intelligence on attitude toward organizational change in Malaysian secondary school context. The study involved a total of 360 teachers chosen randomly from five secondary schools in Selangor. The study was…

Computational objects (eg, algorithms, bots, surveillance technology and data) have become increasingly present in our daily lives and are consequential for our changing relations to texts, multimodality and identity. Yet, our current theories of literacy, and especially the prevalence of mediational and representational perspectives, are…

In the last 50 years, research in psychology has informed educational practice, and recently educational neuroscience has also become a source of research-based guidance on education. The authors discuss four significant examples of how combining findings from psychology and neuroscience gives us insight into which approaches are most effective in…

Emotional intelligence is a learned ability that can bridge emotions and decision making to help improve Extension program participant outcomes. Because decision making is not based on information and facts alone, emotional intelligence has the power to transform the way individuals think about, plan, and execute behavior changes as well as make…

Validity evidence based on test content is critical to meaningful interpretation of test scores. Within high-stakes testing and accountability frameworks, content-related validity evidence is typically gathered via alignment studies, with panels of experts providing qualitative judgments on the degree to which test items align with the…

Background: The extent to which students view their intelligence as improvable (i.e., their "mindset") influences students' thoughts, behaviors, and ultimately their academic success. Thus, understanding the development of students' mindsets is of great interest to education scholars working to understand and promote student success.…

Given significant changes to legislation, practice, research, and instrumentation, the purpose of this study was to examine the course on cognitive assessment in school psychology programs and to describe the (a) structure, (b) instructional strategies, (c) content, and (d) interpretative strategies taught to school psychology graduate students.…

Machine learning (ML) is an emergent computerised technology that relies on algorithms built by 'learning' from training data rather than 'instruction', which holds great potential to revolutionise science assessment. This study systematically reviewed 49 articles regarding ML-based science assessment through a triangle framework with technical,…

Predicting the students' emotional and behavioral engagements using computer vision techniques is a challenging task. Though there are several state-of-the-art techniques for analyzing a student's affective states in an e-learning environment (single person's engagement detection in a single image frame), a very few works are available for…

This study assessed the developmental profile of unisensory and multisensory processes, and their contribution to children's intellectual abilities (8- and 11-year olds, N = 38, compared to adults, N = 19) using a simple audiovisual detection task and three incidental associative learning tasks with different sensory signals: visual-verbal with…

For the teaching profession, one of the important types of intelligence is emotional intelligence. Emotional intelligence levels of especially physical education teachers are expected to be high. The aim of this study is to examine emotional intelligence levels of physical education and sports teachers based on various variables. In this research,…