Background: Concussions are a public health concern. Underdiagnosis and mismanagement negatively impact patients, risking in persistent symptoms and permanent disability. Objective: This scoping review consolidates the heterogeneous and inconsistent concussion research and identifies key areas for medical education curriculum design to focus on…

Many school systems have developed climate rating surveys to gather school perception data; however, research suggests that there are few states where this data is both disaggregated by race and used by school counselors. This study explores school counselors' use of school racial climate data as a benchmark for developing and delivering…

This report delineates the outcomes of an intervention conducted with in-service high school educators, focusing on elucidating three distinct scenarios within geometric and arithmetic domains: the infinitely large, infinitely numerous, and infinitesimally close. Grounded in the theoretical framework of conceptual change, it is posited that when…

Background: At the onset of the COVID-19 pandemic, schools closed across the United States. Given the impact of virtual learning and lost access to school resources, schools eventually reopened with COVID-19 mitigation protocols in place. This qualitative study sought to understand parental perceptions of school-based COVID-19 mitigation…

A critical area of debate in an era of evolving university support systems is how best to offer support to students in challenging disciplines. This study examines the effectiveness of current frameworks in addressing the needs of engineering students. This research employs a mixed-methods approach to identify the experiences of final-year…

Abstract screening is one important aspect of conducting a high-quality and comprehensive systematic review and meta-analysis. Abstract screening allows the review team to conduct the tedious but vital first step to synthesize the extant literature: winnowing down the overwhelming amalgamation of citations discovered through research databases to…

Mathematical modeling studies are increasingly recognised as an important tool for evidence synthesis and to inform clinical and public health decision-making, particularly when data from systematic reviews of primary studies do not adequately answer a research question. However, systematic reviewers and guideline developers may struggle with…

Mobile learning application developers have to overcome inherent limitations imposed by mobile devices in order to produce usable applications. There are usability guidelines available to assist in the design process but with technological improvements, these guidelines should be updated and extended. In this research, we proposed an updated…

Abstract screening is one important aspect of conducting a high-quality and comprehensive systematic review and meta-analysis. Abstract screening allows the review team to conduct the tedious but vital first step to synthesize the extant literature: winnowing down the overwhelming amalgamation of citations discovered through research databases to…

Purpose: School-based speech-language pathologists (SLPs) face uniquely complex webs of guidelines and criteria that can undermine their ability to move toward disability-affirming practices. The purpose of this clinical focus article is to present a contrast between ableist and disability-affirming practices in school-based stuttering therapy…

As science and technology create an ecosystem that is becoming increasingly more knowledge-intensive, complex, and interconnected, the next generation science standards include systems thinking and systems modeling among 21st skills that should be fostered. We examined the effect of an online cross-disciplinary learning process on the development…

There is a pressing need to develop processes to facilitate the organization of education responses in time-pressured emergency situations. As part of a joint Learning Passport (LP) partnership project with UNICEF, researchers along with curriculum and subject specialists at the University of Cambridge, UK, developed a curriculum framework that…

Employing a statistical modeling inspired pedagogy is becoming a widespread practice in the statistics education community. Many have incorporated the practice of formulating conjectures in their modeling-enhanced educational designs and have reported on its benefits. We further elucidate the mechanism through which students' conjecturing may be…

Ethical considerations, including transparency, play an important role when using artificial intelligence (AI) in education. Explainable AI has been coined as a solution to provide more insight into the inner workings of AI algorithms. However, carefully designed user studies on how to design explanations for AI in education are still limited. The…

This study was undertaken to address an issue of student retention and learning in undergraduate computer science (CS) courses. To improve students' CS learning experience, the goal of this case study was to support five CS faculty's integration of active learning into their teaching, using the Understanding by Design framework. We explored the CS…