This paper provides insights into thesis supervisors' perceptions of the supervisory relationship and process in English-medium international master's degree programmes (IMDPs). It contributes to the field of supervisory pedagogy in a master's level education by examining how supervisors perceive their supervisory practices and what they consider…

This article discusses an innovative family literacy project that was implemented in a community setting. Male trios consisting of a male significant figure, a struggling reader in elementary school, and a pre-service teacher were created. The goal was (a) to develop the student's motivation to read by using a male reading role model and allowing…

This qualitative study uses a phenomenological approach to examine the faculty development of adjuncts at historically black colleges and universities and the equity of faculty development between full-time and part-time faculty. As the presence of adjunct faculty continues to persist in the HBCU classroom, part-time professors are pivotal to the…

This article introduces a developmental perspective on kindness. The central goal is to posit a new framework for the study of kindness and its development. From an ethical perspective, kindness can be considered a virtue. It reflects emotions, cognitions, and inner states that convey a particular gentleness and benevolence. These orientations can…

Although district-level school counseling supervisors often assist with school counselors' transition from preparation to practice, including hiring practices, research on this phenomenon is limited. Thus, we conducted an exploratory thematic analysis examining 12 district supervisors' experiences with and perceptions of hiring preservice school…

Purpose: Many mathematical models have been shared to communicate about the COVID-19 outbreak; however, they require advanced mathematical skills. The main purpose of this study is to investigate in which way computational thinking (CT) tools and concepts are helpful to better understand the outbreak, and how the context of disease could be used…

Purpose: This study aims to assess the validity and reliability of the Psycho-B'GREAT Module developed according to the ASSURE's Module Development Model. Method: The content validity of the Psycho-B'GREAT Module was assessed by ten experts in the fields related in teaching and learning (T&L) and biology education. In testing the…

Transgender and nonbinary children and adolescents bear a disproportionate level of poor health, and adverse developmental and academic outcomes compared to their cisgender peers. In this article, I review evidence from recent research on minority stress and resilience among trans youth and advocate for two additional domains to be included when…

The global COVID-19 pandemic pulled back the curtain on the growing need for greater student agency and student engagement. As we rethink the future of education in a post-pandemic world, learner agency must be at the center of learning designs and learning models so that we can support students anytime, anyplace, and at any pace. We must…

Statistical analysis of categorical data often relies on multiway contingency tables; yet, as the number of categories and/or variables increases, the number of table cells with few (or zero) observations also increases. Unfortunately, sparse contingency tables invalidate the use of standard good-ness-of-fit statistics. Limited-information fit…

Early childhood interventions can improve self-regulation, but there are few economic evaluations of such interventions. This study analyzed the cost-effectiveness of an early childhood self-regulation intervention ("Red Light Purple Light!"; RLPL), comparing three different models of implementation across stages of intervention…

In large urban districts, schools enrolling more white students tend to have higher school performance ratings. We use an instrumental variables strategy leveraging centralized school assignment to identify the drivers of the correlation between racial make-up and ratings. Estimates from Denver and New York City suggest the relationship between…

Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post-hoc adjustments to…

The distributed practice effect suggests that students retain learning content better when they pace their practice over time. The key factors are practice dosage (intensity) and timing (when to practice and how in between). Inspired by the thriving development of image recognition, this study adopts one of the successful techniques,…

Knowledge tracing algorithms are embedded in Intelligent Tutoring Systems (ITS) to keep track of students' learning process. While knowledge tracing models have been extensively studied in offline settings, very little work has explored their use in online settings. This is primarily because conducting experiments to evaluate and select knowledge…