This book offers one of the first in-depth explorations of social justice pedagogies in physical education (PE) from a student perspective. Based on rich qualitative research, it highlights how school PE can support the physical, cognitive, emotional and social development of young people and contribute to building more socially cohesive and just…

Background/purpose: Friendship skills among people with learning disabilities (LD) are affected by the amount of social skills they possess, which are characterized by their inability to start a conversation, ask a question, and apologize, in addition to behavioral problems associated with attention deficit, social stigma, feelings of inferiority,…

Much has been written about bias in student evaluations of teaching (SETs), and efforts have been made to develop evaluation forms that minimize the risk of bias in students' responses. The authors created a fully qualitative open-ended SET instrument, along with a standard process to summarize and interpret results for use by all undergraduate…

This study inquires into teachers' self-identified comfort in teaching about and preventing sexual violence. A Likert-scale survey was used to collect data from 105 secondary teachers from one public school board in Ontario. Findings suggest that participants tend to be more comfortable with teaching about consent and respectful relationships than…

Purpose: This study aims to explore how multicultural picturebooks portray transnational parent knowledge and, crucially, in what ways they challenge dominant, often simplified, narratives of migration through depictions of parental agency. Design/methodology/approach: Using a critical narrative review of ten purposefully selected picturebooks,…

This study concludes that traditional logistic regression models, particularly those using ACT Composite scores, tend to demonstrate better fairness metrics across subgroups compared to a fairness-aware machine learning gradient-boosted machine model. The exclusion of race/ethnicity from predictive models does not introduce notable bias and may…

Machine learning algorithms have been widely used for identifying at-risk students. Current research focuses on timeliness and accuracy of the predictions, leading to a heavy reliance on demographic data, which introduces severe bias issues. This study develops fairness-aware machine learning models to identify at-risk students in high school…

An important source for the difficulties students face with fractions is the natural number bias (NNB), which refers to the phenomenon of applying natural number properties in fraction tasks, even when this is inappropriate (e.g., 1/4+1/3 = 2/7). The present longitudinal study investigates whether this misconception is related to the development…

Historical narratives of Black women often focus solely on racial discrimination without acknowledging the structural and systemic gender-based discrimination they faced. Crenshaw's concept of intersectionality draws upon decades of Black feminist scholarship delineating how Black women experience systemic oppression on account of both their race…

In US school settings and materials, climate change is often framed as an uncertain phenomenon. However, the effect of such denialist representations on youth's perceptions of climate change has not been empirically tested. To address this gap in the literature, this article reports on a survey-based experiment testing two framings of uncertainty…

Since 1975, over 3 million refugees have entered the United States, yet schools are unequipped to recognize and comprehend refugee communities' life circumstances as shaped by structural and symbolic violence. The educational experiences of second-generation Hmong American refugees highlight this neglect and its potential consequences for…

In 2020, the Canadian-based humanitarian organisation WE was the subject of a funding scandal in Canada that cast a critical light on its finances and mandate. The scandal tarnished the reputations of the organisation and its founders, Craig and Marc Kielburger, who had been lauded as model global citizens for more than two decades. This paper…

This paper compares state-led approaches to global citizenship education, driven by the concerns of national security, with the kinds of citizenship formation transnational youth acquire through their experiences in transnational social fields. I show that these transnational experiences--particularly their relationships with loved ones in their…

Increasing diversity in international student mobility/migration has gained attention in recent years (Bilecen & Van Mol, 2017). Diversity in international higher education institutions has primarily been understood in terms of diversity of national origin, meaning the dynamics of racial and ethnic differences are not adequately addressed in…

We understand the terrors of this historical moment: rising white nationalism and white supremacist violence, xenophobia, homophobia, sharpening economic inequality, homelessness and underemployment, neoliberal assaults on workers and the environment, Islamophobia, attacks on immigrants, kids in cages. While schools are guilty of perpetuating some…