Search

The Inclusive Environments and Metrics in Biology Education and Research (iEMBER) network is a newly forming national community of practice that engages diversity, equity, and inclusion stakeholders in interdisciplinary collaborative projects. iEMBER was initiated with incubator funding from the National Science Foundation program for Research Coordination Networks in Undergraduate Biology Education. In June 2017, biology education researchers, social scientists, biologists, and program and policy administrators, all with interests in diversity, equity, and inclusion, met to lay the foundation for the iEMBER network. iEMBER provides a distinct forum to coordinate efforts through networking, professional development, and the initiation of collaborative research. iEMBER advances science, technology, engineering, and mathematics reform focused on diversity, equity, and inclusion through the initiation of research teams at the iEMBER biennial conference and outreach efforts at discipline-specific meetings and conferences. The focus of iEMBER is on understanding how to create inclusive, supportive, and engaging environments to foster the success of all biology students and trainees. This report focuses on the structure of the iEMBER network, two takeaways that emerged from the 2017 conference (interdisciplinary networking/collaboration and intradisciplinary broadening participation strategies), and ways for prospective members to engage in ongoing dialogue and future events. Learn more at http://iember.org.

Robust evidence shows that Peer-Led Team Learning (PLTL) improves the academic success of first-year college students in introductory Science, Technology, Engineering, and Mathematics (STEM) courses. Less clear is the extent to which this positive PLTL effect varies across different subgroups of the population. The current study aims to deepen our understanding of the overall PLTL effect by extensively evaluating an optional PLTL program associated with General Chemistry I at a private, research university. Using five years of exam data, this study disaggregates the PLTL effect by demographics (sex and race), academic preparation (math skills, chemistry content knowledge, and experience with college-preparatory coursework), and participation in another curricular innovation (a growth-mindset intervention). Results revealed that the positive effect of PLTL was comparable across demographic identity groups. Thus, the PLTL program benefitted all participants but did not reduce the pre-existing performance disparity between underrepresented minority and white students (no sex-based disparity was observed). In terms of academic preparation, the PLTL effect interacted with students' level of experience with college-preparatory coursework but not with their math or chemistry knowledge. This pattern suggests that PLTL may help develop students' self-management or reasoning skills, without necessarily narrowing knowledge gaps. Finally, PLTL interacted with participation in a growth-mindset intervention: the difference between PLTL participants and nonparticipants was smaller among students who received the mindset intervention. Implications for chemical education researchers and practitioners are discussed, with an eye toward fostering equity in introductory STEM courses.

Active learning with clickers is a common approach in high-enrollment, lecture-based courses in science, technology, engineering, and mathematics. In this study, we describe the procedures that faculty at one institution used when implementing clicker-based active learning, and how they situated these activities in their class sessions. Using a mixed-methods approach, we categorized faculty into four implementation styles based on quantitative observation data and conducted qualitative interviews to further understand why faculty used these styles. We found that faculty tended to use similar procedures when implementing a clicker activity, but differed on how they situated the clicker-based active learning into their courses. These variations were attributed to different faculty goals for using clicker-based active learning, with some using it to engage students at specific time points throughout their class sessions and others who selected it as the best way to teach a concept from several possible teaching techniques. Future research should continue to investigate and describe how active-learning strategies from literature may differ from what is being implemented.

This article describes a visual approach to integrating observational data into self-evaluation and peer review of teaching, practices that can lead to adoption of evidence-based active-learning strategies in STEM. This approach was designed to be implemented for undergraduate courses across disciplines. The presentation of observational data in a timeline provides a "big-picture" view of an observed class that captures the sequencing of instructional strategies and the "ebbs and flows" of student participation--in a chronological format that coheres with how instructors often visualize a class session.