This article introduces the notion of "enchanted animism," contending that an enchanted re-animation of the world may be necessary for learning to live on a damaged planet. The paper draws on a project with young children which invited them to share what they thought was 'good' in the outdoor spaces at their early learning centre. These…

This article reports on a short film being made for the Edge Foundation by the author. It records the innovative approach to learning taken by two comprehensive schools serving areas of high deprivation. Work in these schools integrates knowledge and skills, and offers a context in which all students, whatever their perceived 'ability', make…

To increase equity and inclusion for underserved and excluded Indigenous students, we must make efforts to mitigate the unique barriers they face. As their knowledge systems have been historically excluded and erased in Western science, we begin by reviewing the literature on the inclusion of Traditional Ecological Knowledge (TEK) in biology…

While monolingual English speakers acquire most pronouns by age 5, acquisition amid prevalent, normative code-mixing, such as in Trinidad, is underexplored. This study examines how Trinidadian 3- to 5-year-olds express third-person subject, object, reflexive and possessive pronouns and factors influencing pronoun choices. Seventy-five preschoolers…

This research presents a proposed approach that could be applied in modeling students' study strategies and performance in higher education. The research used key learning attributes, including intrinsic motivation, extrinsic motivation, autonomy, relatedness, competence, and self-esteem in the modeling. Five machine learning models were…

On the basis of self-determination theory, we aimed to identify students' perceptions of interpersonal teaching style profiles (i.e. within-teacher combinations of six dimensions of need-supportive and need-thwarting behaviours of autonomy, competence and relatedness) and to examine, through a cross-sectional design, the possible associations…

As environmental education and sustainability education play a fundamental role in training citizens who are more aware of global change and more environmentally responsible, organic learning is a recommended alternative learning experience for young children. This article describes how one kindergarten class in South Korea applied organic…

Biologists use tree diagrams to illustrate phylogenetic relationships among species. However, both novices and experts are prone to misinterpret this notational form. A difficulty with reasoning with cladograms is that intuitive narrative conceptions of evolution as a linear progression interfere with perceiving the hierarchical relationships that…

This study investigates the interconnectivity between art and ecology within a Forest School model. The success of outdoor programming, like Forest Schools, suggests that other outdoor curriculum art-based environmental education could provide valuable learning experiences. Within this article, the author dispels myths surrounding a romanticized…

A math walk is a planned walk during which students talk about mathematical concepts embedded in their everyday environments. The walk is based on relatively permanent objects or locations, such as trees, artworks, playground equipment, and building elements, and can be shared with the broader school community in a variety of different ways. In…

Although badges are among the most-used game elements in gamified education, studies about their optimal features to motivate learning are scarce. How should a badge be designed to represent an incentive for a specific goal like optimal exam preparation? This study examines usage data of a higher education learning app to determine whether the…

Firms desire graduates capable of executing current and future business practices, many of which revolve around data. To meet those needs, we shifted the orientation of our required information systems course from technology to data. Instead of a survey of information systems, students learn the data acquisition-preparation-mining-presentation…

Accurately forecasting course enrollment rates in higher education is of great concern in order to minimize unnecessary administrative costs as well as burden to both students and faculty. This research aimed to first recreate course enrollment predictions based on a conditional probability analysis using student data from San Diego State…

The demand for in-depth studies on educational data presupposes the application of technologies that allow data analysis of vast quantities, and subsequently, drawing relevant information and knowledge. The research objective herein is to employ data mining techniques on PISA databases to identify potential patterns that may explain the…

There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…