Project Extension for Community Healthcare Outcomes (ECHO) Nevada applied the ECHO virtual hub-and-spoke telementoring model over nine 6-week cohorts (between November 2019 and November 2021) supporting community health workers (CHWs) who advise clients with diabetes or pre-diabetes. This study describes the program implementation, including…

Contribution: This article presents evidence that electrical engineering, computer science, and data science students, participating in introduction to machine learning (ML) courses, fail to interpret the performance of ML algorithms correctly, since they fail to consider the application domain. This phenomenon is referred to as the domain neglect…

This stand-alone appendix discusses additional context and findings from a quantitative and qualitative assessment of the science- and technology-focused (STF) workforce ecosystem in the seven-county Pittsburgh region. It augments a report focused on the demand for and supply of STF workers, training pipelines, anticipated growth, unique regional…

In 2023, California will implement a new statewide math framework that will drive curriculum decisions and pedagogical approaches for years to come. Although the state's content standards for mathematics are not changing, a statewide framework could nevertheless shift instruction by providing educators with guidance on how to implement content…

On September 13 and 14, 2022, the Board on Science Education at the National Academies of Sciences, Engineering, and Medicine held a workshop entitled Foundations of Data Science for Students in Grades K--12. Speakers and participants explored the rapidly growing field of K-12 data science education, by surveying the current landscape, surfacing…

Students at all levels of education experience difficulties with the concepts of measurement uncertainties. One task that includes concepts of measurement uncertainties is a data comparison problem where students decide whether two datasets are in agreement or not--an authentic scientific practice. To aid students with these concepts and tasks,…

The launch of new tools in late 2022 heralded significant growth in attention to the impacts of generative AI (GenAI) in education. Claims of the potential impact on education are contested, but there are clear risks of inappropriate use particularly where GenAI aligns poorly with learning aims. In response, in mid-2023, the Australian Federal…

Traditional information literacy skills (e.g., effectively finding and evaluating information) need to be updated due to the rapidly changing information ecosystem and the growing dominance of online platforms that use algorithms to control and shape information. This article proposes additions to the current ACRL "Framework for Information…

Western Carolina University (WCU) enrolls students from many different backgrounds and demographic categories. While access to the institution has expanded over the years, equity gaps still exist relative to retention and graduation outcomes for students in different demographic groups. Several offices at the University offer programing and…

This study addresses the problem surrounding low educator self-efficacy for data collection and behavior reduction strategies among elementary special educators. Educators working with students who present behavior challenges do not feel a strong sense of self-efficacy when it comes to data collection and behavior management. Due to this,…

The purpose of this process evaluation was to evaluate how classroom teachers, campus administrators, and instructional staff differ in their perception of data usage for educational improvement in a large suburban Independent School District (ISD) in Southeast Texas. The researcher was granted permission by the superintendent of the school…

Student evaluations of teaching (SETs) are a ubiquitous feature of higher education. However, scholars have presented numerous challenges to the accuracy, validity, reliability and objectivity of SETs as a measure of teaching effectiveness. Given the potential for bias, the use of SETs in professional review may constitute a form of institutional…

The purpose of this article is to describe the possibilities of using worksheets in the teaching of lipids and proteins. The worksheet includes a concept map, suggestions for three safe experiments that can be performed with available household chemicals, and observation results. The worksheets were implemented into action research in two classes…

In this study, 82 middle and high school teachers engaged with the InSTEP online professional learning platform to develop their expertise in teaching data science and statistics. We investigated teachers' engagement within the platform, aspects of the platform that were most and least effective in building teachers' expertise, and the extent to…

A large suburban school system in the mid-Atlantic United States identified the Data Wise Improvement Process (DWIP) as a systemic strategy to achieve the district-wide goal of student achievement for college and career readiness. Elementary science teachers marginally participated in school-based instructional team meetings to analyze student…