Mathematical modeling tasks can engage students in ways in which they see themselves as mathematicians capable of using mathematics to solve real-world and complex problems. As mathematics teacher educators and researchers, the authors collaborated with two 5th-grade teachers, Liz and Anna (pseudonyms), focusing on equitable practices that foster…

In a mentoring constellation model, mentoring is conceptualized as a set of meaningful relationships with multiple mentors. Mentoring constellation models move away from hierarchical 'one-mentor to one-mentee' models; multiple mentors support different mentoring functions, without an expectation that one mentor has expertise in all areas.…

Assessment of student learning is commonly understood as a seemingly objective measurement of learning outcomes. It is seen as fair that assessment targets students' abilities -- not their identities or personalities. This idea fails to acknowledge how assessment transforms its object, the students, often in unintended ways. While higher education…

Teachers are dealing with a profession characterised by rapidly evolving educational research, societal shifts, and political agendas. They are faced with unforeseen events that create educational futures that are yet unknown, with the global pandemic a clear example. Mentoring has a long history as an approach to support teachers, particularly…

This study investigated the relationships between academic self-discipline, self-control and management, meaningful learning self-awareness, and generative artificial intelligence (GAI) acceptance among 597 teacher candidates at nine Turkish universities. A serial mediation model was proposed, hypothesizing that academic self-discipline influences…

Clustering methods are often used in physics education research (PER) to identify subgroups of individuals within a population who share similar response patterns or characteristics. Among these, k-means (or k-modes, for categorical data) is one of the most commonly used clustering methods in PER. This algorithm, however, is distance-based rather…

This research aimed to determine the factor that had the most significant contribution to students' motivation to learn English and the predictors of each element in the L2 Motivational Self System (L2MSS) model in the Vietnamese context. Quantitative results were collected from 231s to year English major students via the survey questionnaire…

Faculty at institutions of higher education work longer hours and many are burned out and experience low satisfaction and low coping ability. To investigate this phenomenon, this study validated the instrument of Core Self-Evaluations Scale with a sample of higher education faculty members in the U.S., and three different theoretical models (Gu et…

Possible selves is a theory of self-concept and behaviour motivation. Methods of exploring possible selves have focused on interviews and questionnaires. This article introduces the Possible Me Tree model and explains how the model was adapted and used for research. The Possible Me Tree model was implemented with young people between 17 and 18…

Contextual, identity, and cultural factors are not only associated with student outcomes but can also serve to moderate the effects of interventions. However, the conventional analysis of moderation commonly used in school psychology is subject to the selection bias potentially introducing bias into estimated moderator effects. This article…

Background: Paranoid beliefs are common in the general adolescent population. The paranoia hierarchy suggests common social evaluative concerns may develop into persecutory thoughts via ideas of reference, a milder intermediary facet of paranoia. Socially anxious concerns and paranoid beliefs co-occur in adolescent and adult groups, but the…

Due to the leaky pipeline, i.e., the continuous decline in the number of women along the academic career path, women are still underrepresented in many academic disciplines like STEM and philosophy. One theoretical model that explains this is the lack of fit framework (Heilman, Sex bias in work settings: The lack of fit model; Heilman & Caleo,…

Increasing representation of women and minorities in STEM disciplines is imperative. We employ Social Identity Theory in conjunction with Self-Determination Theory to explain how STEM-related stereotypes keep students from following STEM pathways. We conducted an experimental investigation using 70 10th-grade students to determine if exposure to…

Diversity in engineering, and STEM in general, is essential to address societal challenges, yet women and individuals from ethnic minority backgrounds remain underrepresented. Belonging has shown promise for recruiting and retaining these groups, prompting further exploration. This review investigates the impact of (anticipated) belonging on the…

Although women are increasing in science, technology, engineering, and mathematics (STEM), men still dominate these fields at the highest levels. This systematic review examined 165 studies published between 2013 and 2023 on the factors affecting girls' participation in STEM subjects. The feminist's intersectionality and the social cognitive…