There is a lot of interest in providing detailed reports to schools indicating which skills pupils have mastered and which still need development -- and, more broadly, the knowledge, skills and understanding that pupils have acquired and not yet acquired. Cognitive diagnostic assessment is an approach designed to provide this kind of insight.…

The purpose of this quantitative correlational-predictive study was to study if and to what extent emotional intelligence and race, individually and/or combined, predict self-efficacy among teachers teaching online at US-based colleges and universities. The theoretical foundation for this study was based on Salovey and Mayer's 1990 Theory of…

This study aims to examine whether the career adaptation score averages of 1st and 4th-year students studying in different departments of the Faculty of Education differ significantly from the average scores of interest, control, curiosity, and confidence sub-scales aimed at measuring the sources of adaptation compared to the emotional…

In this study, we analyzed how general chemistry students generated experimental designs corresponding to general chemistry questions such as the ones typically found in general chemistry textbooks. We found that students were very successful in including experimental design aspects that were explicitly mentioned in the general chemistry…

Artificial intelligence (AI) technology in professional practice is regarded as the latest disruption to challenge ethical, societal, economic, and educational paradigms. It is becoming a contemporary narrative in our healthcare and educational discourse as it is thought to improve decision-making, education, patient care, and service delivery. If…

This study examined the group and individual part score profiles of individuals with mild intellectual disability (ID) who participated in a clinical validity study supporting the Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V) and a comparison group without ID derived from the WISC-V norming sample. Descriptive analyses revealed…

Most second language assessment researchers agree that interactional competence (IC) is an important part of the construct of oral communication. However, measurement of IC has proven challenging because at least one interlocutor is considered necessary to create an appropriate social context for test takers to demonstrate their IC. Including…

Objectives: Although prior research has uncovered shifts in computer science (CS) students' implicit beliefs about the nature of their intelligence across time, little research has investigated the factors contributing to these changes. To address this gap, two studies were conducted in which the relationship between ineffective self-regulation of…

This study explored how online students perceived their instructors' emotional intelligence (EI) and its impact on their learning engagement. Using eight EI behaviours of online instructors and a learning engagement instrument, 100 online university students were surveyed regarding their observation of those EI behaviours and their learning…

Artificial intelligence (AI) technology has the potential to revolutionize the education sector. This study sought to determine the efficacy of ChatGPT to correctly answer questions a learner would use and to elucidate how the AI was processing potential prompts. Our goal was to evaluate the role of prompt formats, response consistency, and…

Successful problem solving is a complex process that requires content knowledge, process skills, developed critical thinking, metacognitive awareness, and deep conceptual reasoning. Teaching approaches to support students developing problem-solving skills include worked examples, metacognitive and instructional scaffolding, and variations of these…

Background: Randomized controlled trials (RCTs) give unbiased estimates of average effects. However, positive effects for the majority of students may mask harmful effects for smaller subgroups, and RCTs often have too small a sample to estimate these subgroup effects. In many RCTs, covariate and outcome data are drawn from a larger database. For…

Purpose: There is limited scholarship on artificial intelligence (AI) in higher education governance, despite the growing prevalence of AI-powered technologies in many fields, including education. However, as the technology is still nascent and has yet to reach its full potential, ideas and arguments abound, championing or cautioning against the…

[This paper is part of the Focused Collection on Qualitative Methods in PER: A Critical Examination.] Qualitative research methods have provided key insights in physics education research (PER) by drawing on non-numerical data such as text or video data. While different methods towards qualitative research exist, they share two essential steps:…

Generative artificial intelligence (AI) allows for the transformation of written text into artistic images of varying styles. Scholars and researchers are beginning to explore the benefits of this technology to improve reflective practices and critical analyses in education. The extent to which AI-generated images can be used in nursing education…