This volume is largely about nontraditional data; this paper is about a nontraditional visualization: classification trees. Using trees with data will be new to many students, so rather than beginning with a computer algorithm that produces optimal trees, we suggest that students first construct their own trees, one node at a time, to explore how…

Methods based on machine learning have become increasingly popular in many areas as they allow models to be fitted in a highly-data driven fashion and often show comparable or even increased performance in comparison to classical methods. However, in the area of educational sciences, the application of machine learning is still quite uncommon.…

To detect differential item functioning (DIF), Rasch trees search for optimal split-points in covariates and identify subgroups of respondents in a data-driven way. To determine whether and in which covariate a split should be performed, Rasch trees use statistical significance tests. Consequently, Rasch trees are more likely to label small DIF…

Issue #50 of the Bank Street Occasional Paper Series, "Learning With Treescapes in Environmentally Endangered Times Learning with Treescapes in Environmentally Endangered Times," is intended to be hopeful. Articles in this issue contribute to the envisioning of new practices and to an architecture of knowledge to waymark a more…

In this study, classifications were made from the data obtained from the Health-Related Physical Fitness Report cards and BMIs of students through data mining methods, artificial neural networks, and decision trees models. Then the classification performances of both models were compared. The body weight and height measurements of the students in…

A wealth of evidence shows that exposure to the natural environment and nature-based learning can benefit children's physical, mental, social, and emotional health. Despite this, children are spending less time in nature and nature-based learning remains an underutilised pedagogical tool. Several barriers are frequently reported by teachers,…

This study aims to investigate environmentally responsible and sustainable development of 56 pre-service teachers which relevant to framework of sustainable development goals. The qualitative data were collected and analyzed by summarizing general perspectives. The 9 concepts were found and reported. The ways to sustain environments and education…

The purpose of this work is to identify contextual variables that help to explain the occupational aspirations of Spanish 15-year-old students. This is done by performing a secondary analysis of the PISA2018 test. Data have been analysed using decision trees introducing the students' expected occupational status as a dependent variable (DV), and…

Agricultural and environmental literacy are essential public goods, but associated education efforts struggle to reach broad audiences. Understanding learner backgrounds and lived experiences can help address this challenge. We assessed the relative importance of demographics, parent views of agriculture, interactions with farmers and parents, and…

Although language assessments for medical professionals in the UK are changing, there is still a need for them to demonstrate their proficiency in English before working in the National Health Service (NHS). When providing English for specific purposes (ESP) courses for retraining refugee doctors, we need to consider all the potential barriers…

This article describes how three higher education literacy faculty shifted their traditional face-to-face instruction to a combined synchronous and asynchronous delivery in response to the COVID-19 Pandemic and subsequent closure of the university. Faculty share specific lessons that were learned over the first year of the pandemic, and how these…

Unlike children's early ability to navigate by continuous boundaries, their ability to extract geometric information from an array of objects emerges gradually over childhood. To investigate children's developing representation of object arrays for navigation and its relation to their mental representation of the global spatial layout,…

Forest School provision is a growing phenomenon in the UK due to its perceived impact on participant learning and wellbeing. This study sought to understand the impact of Forest School provision on the social and emotional development of participants using practitioner's reflections. Semi-Structured interviews with six qualified Forest School…

Multi-site randomized controlled trials (RCTs) provide unbiased estimates of the average impact in the study sample. However, their ability to accurately predict the impact for individual sites outside the study sample, to inform local policy decisions, is largely unknown. To extend prior research on this question, we analyzed six multi-site RCTs…

Youth who report prosocial relationships with natural mentors show increased social and academic success and life satisfaction. However, little research investigates how mentors impact aspects of youth identity such as athleticism or religiosity. The present study applies a Bayesian Additive Regression Trees (BART) analysis model to data from a…