Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…

With notions of data visualization expanding to include contemporary art and design, data visualization represents an important new dimension for transdisciplinary art education. The pedagogical potential of these practices has begun to be recognized in many fields, including art education. However, despite substantial interest, little research…

Automated detection of facial emotions has been an interesting topic for multiple decades in social and behavioral research but is only possible very recently. In this tutorial, we review three popular artificial intelligence based emotion detection programs that are accessible to R programmers: Google Cloud Vision, Amazon Rekognition, and…

The OECD's PISA program assesses 15-year-old students globally in key competencies every 3 years, providing influential data on education quality and spurring policy debates. In the latest cycle, the innovation domain focused on creative thinking, assessing over 140,000 students across 60+ countries, in the largest study of adolescent creativity…

Poor academic performance remains among the most concerning educational issues, especially in higher education and online learning. To address the concern, institutions like the University of Southeastern Philippines (USeP) leverage educational data mining (EDM) techniques to generate relevant information from learning management systems (LMS)…

Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of…

Purpose: The research purpose had been to investigate the dominant factors that influenced the success of the development of entrepreneurship courses in cultivating entrepreneurial mindsets and entrepreneurial skills into educational frameworks in universities. Design/methodology/approach: The case study used in-depth interviews with key…

It is common to find mixed-format data results from the use of both multiple-choice (MC) and constructed-response (CR) questions on assessments. Dealing with these mixed response types involves understanding what the assessment is measuring, and the use of suitable measurement models to estimate latent abilities. Past research in educational…

Information design is the theory and practice of presenting information through the pairing of graphic and verbal content. It is important in the sciences because of the centrality of data visualization in research and teaching. This paper seeks to build the case for the inclusion of information design within both the Geography and university- or…

"CASE Insights on Advancement at Historically Black Colleges and Universities: Leveraging Data and Promoting Engagement" explores the current state of advancement at HBCUs and highlights the innovative strategies these institutions use to strengthen alumni engagement and philanthropic support. Developed by the Council for Advancement and…

Background: Integrating information from multiple sources is a common yet challenging learning task for secondary school students. Many underuse metacognitive skills, such as monitoring and control, which are essential for promoting engagement and effective learning outcomes. Objective: This study aims to examine the relationship between…

Health professional education stands to gain substantially from collective efforts toward building video databases of skill performances in both real and simulated settings. An accessible resource of videos that demonstrate an array of performances -- both good and bad -- provides an opportunity for interdisciplinary research collaborations that…

The potential of data analytics in higher education is well acknowledged. Yet, there is a notable gap in the literature regarding the practical application of theoretical frameworks for its implementation and evaluation. While research has investigated data analytics for personalised learning, student success prediction, and programme assessment,…

Recent research has indicated that the manner in which single-case data are typically displayed for visual analysis may influence rater decisions regarding the effect of an intervention. Subsequently, researchers have encouraged adherence to a standard assembly for linear graphs in order to control these effects. Others, however, have encouraged…

Including women in research and collecting and disaggregating data on sex is an ethical imperative. However, increasingly gender identity is being prioritised over sex in data collection and language which has ethical implications. In this paper, the authors share their experiences as study participants; a health consumer advocate, patient…