Background: This study evaluated stakeholders' perceptions regarding the initial implementation process of the health promoting school model proposed by the affordable health initiative (AHI HPS model) in schools of Belo Horizonte/BRA. Methods: The model has been implemented since 2019, by an implementation committee (IC) with members from…

This paper details how to effectively share three-dimensional geological models using data conversion between two mainstream mining software, Micromine and Surpac. It also discusses the impact of this conversion method on geological integrated exploration decision-making guidance. The current situation primarily manifests in the fact that both…

Central to the institutionalization of learning analytics is the need to understand and improve student learning. Frameworks guiding the implementation of learning analytics flow from and perpetuate specific understandings of learning. Crucially, they also provide insights into how learning analytics acknowledges and positions itself as entangled…

Causal asymmetry is a situation where the causal factors under study are more suitable for explaining the outcome than its absence (or vice versa); they do not explain both equally well. In such a situation, presence of a cause leads to presence of the effect, but absence of the cause may not lead to absence of the effect. A conceptual discussion…

There is much interest in employing computer technology in design professions and education. However, few attempts have been made to apply immersive visualization technology to learn design details in landscape architecture. This study aims to illuminate how virtual reality (VR) technology helps students with design details in landscape…

Efklides and colleagues developed the Metacognitive and Affective model of Self-Regulated Learning (MASRL) to provide a comprehensive theoretical framework of self-regulated learning (SRL). The distinguishing feature of MASRL is that it stresses metacognitive experiences and other subjective experiences (e.g., motivational, affective) as critical…

Our technological, information-rich society thrives because of scientific thinking. However, a comprehensive theory of the development of scientific thinking remains elusive. Building on previous theoretical and empirical work in conceptual change, the role of credibility and plausibility in evaluating scientific evidence and claims, science…

Latent class analysis (LCA) refers to techniques for identifying groups in data based on a parametric model. Examples include mixture models, LCA with ordinal indicators, and latent class growth analysis. Despite its popularity, there is limited guidance with respect to decisions that must be made when conducting and reporting LCA. Moreover, there…

Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…

Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…

Catholic schools have faced enrollment challenges for at least two decades. The staggering numbers of Catholic school closures should compel all stakeholders to reflect on the traditional model of Catholic schools and consider what alternative models could more effectively carry out the mission of the Church. Alternative school models, such as…

This dissertation is about a particular style of research. The philosophy of this style is that in order to scientifically understand deep learning, it is fruitful to investigate what happens when neural networks are trained on simple, mathematically well-defined tasks. Even though the training data is simple, the training algorithm can end up…

Purpose: A range of models of employability implicitly or directly identify potential drivers of motivated behaviour related to engaging in employment-related outcomes whilst acknowledging that employability is also about developing life skills. Motivational theorists suggest that tasks engaged for external purposes, e.g. working towards an…

Even highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co-redesign methods in partnership with disciplinary experts to create high-structure STEM courses that better support students and produce…

The nurturing of learners' ways of knowing is vital for supporting their intellectual growth and their participation in democratic knowledge societies. This paper traces the development of two interrelated theoretical frameworks that describe the nature of learners' epistemic thinking and performance and how education can support epistemic growth:…