This paper, a conversation between Simon Grennan, Carol Wild, Miranda Matthews and Claire Penketh, explores drawing as cause and consequence, applying Grennan's thinking to three drawings as a means of exploring and exemplifying ideas discussed in his keynote at the iJADE Conference: Time in 2023. Following an initial introduction to key ideas…

Using a longitudinal national educational dataset, data science methods were applied to explain students' educational trajectories and determine the most predictive variables in STEM degree attainment. Challenging the notion of the STEM pipeline, an Alternative Pathways to STEM (APS) model was proposed. Using a foundation of Social Cognitive…

There are many important and interesting academic competitions that attract an increasing number of students. However, traditional student team building methods usually have strong randomness or involve only some first-class students. To choose more suitable students to compose a team and improve students' abilities overall, a competition-oriented…

Discussions of randomised controlled trials (RCTs) in education that do not show an impact regularly focus on the intervention and how it failed to impact on expected measures, with typologies identifying persistent critical points of failure. This paper uses one such RCT--the Integrating English programme--to exemplify the application of a new…

"Opportunity to learn" has evolved into an umbrella phrase for describing a large range of settings, resources, structures, and processes. The aim of this study is to develop a conceptual framework that can accommodate a wide range of opportunities to learn, not just those provided by teachers in classrooms. An inclusive framework can…

Data pooling is a powerful strategy in empirical research. However, combining multiple datasets often results in a large amount of missing data, as variables that are not present in some datasets effectively contain missing values for all participants in those datasets. Furthermore, data pooling typically leads to a mix of continuous and…

This is a systematic review of empirical studies on graduate students' research motivation, a key factor for improving their research performance. A total of 57 articles and conference papers between 1993 and 2023 were identified through the thorough search process and quality assessment, and their research categories and themes, theories, and…

This study seeks to enrich our understanding of modeling-based learning (MbL) in kindergarten science education, investigating the influences of different modeling tools on kindergarten child-constructed models and their modeling reasoning. Therefore, this multi-case study aimed at providing in-depth descriptions of how MbL was enacted by 66…

While Bhutanese biology teachers are expected to possess a rich understanding of scientific models, little is known about their perceptions of scientific models. This study, thus, examined Bhutanese biology teachers' perceptions of scientific models. The study recruited one hundred and eleven (N = 111) biology teachers using a total population…

An ongoing discussion is a debate about the benefits of outdoor activities for health, where a narrowness regarding the benefits as a matter of curing or preventing disease has been questioned. Hence, there is an urgent need to theorize further the relationship between outdoor activities and health with robust theoretical frameworks that can guide…

Difficulties regulating emotions have been coined as inherent to autism, possibly even presenting a core difficulty of autism. While several models of emotion regulation have been proposed in the past, in this targeted review article, we aim to map emotion regulation difficulties in autistic individuals within the framework of the extended process…

Personal experiences and cultural factors can shape art therapists' art making preferences and aversions. By reflecting on the Expressive Therapies Continuum (ETC), the author explores the impact of these realizations on her clinical practice with a case example. Implications for practice include the importance of understanding oneself as an…

To balance the theoretical knowledge garnered by students in higher education institutions (HEIs) with the competencies required by the industry, researchers have suggested the concerted input of communities of practice (i.e., construction practitioners). This can be achieved through practitioners' provision of instructors' course-support needs…

In this paper, we investigate the conditions under which data imbalances, a common data characteristic that occurs when factor values are unevenly distributed, are problematic for the performance of Coincidence Analysis (CNA). We further examine how such imbalances relate to fragmentation and noise in data. We show that even extreme data…

Structural equation modeling (SEM) is a statistical method widely used in educational research to investigate relationships between variables. SEM models are typically constructed based on theoretical foundations and assessed through fit indices. However, a well-fitting SEM model alone is not sufficient to verify the causal inferences underlying…