Statements by scientific organizations can, and should, shape society.

Statements based on the best current scientific data and analyses that bear directly on societal issues, especially ones that are critical to societal justice, equity, and health, are practical responsibilities of professional scientific organizations. And they often have impact.

Building conceptual and methodological bridges between SSE's diversity, equity, and inclusion statement and educational actions in evolutionary biology.

The field of evolutionary biology must bridge the gap between its diversity, equity, and inclusion (DEI) commitments and data-driven educational actions in the nation's undergraduate classrooms and degree programs. In this article, we discuss the urgent need for the adoption of equity frameworks and why they are centrally important to data-driven DEI efforts in evolutionary biology. We describe why equity indicators (e.g., measures) must be anchored in and aligned with equity frameworks. We introduce a specific equity framework for learning (the enhanced educational debt framework) and illustrate how it may be leveraged to document, interpret, and improve outcomes in evolutionary biology. We apply the equity framework and associated indicators to >3,500 students' first college-level experience with evolutionary biology at a public, 4-year institution in the Northeastern United States to demonstrate how these conceptual tools and empirical perspectives may be used by faculty, departments, and degree programs to better understand their roles in mitigating or perpetuating inequities. We end by discussing how this framework may be applied to a range of evolution concepts and courses in the educational hierarchy and used to help evolutionary biologists better understand the extent to which a core aspect of SSE's diversity statement is being realized.

Investigating the Influence of Assessment Question Framing on Undergraduate Biology Student Preference and Affect.

Nearly all undergraduate biology courses rely on quizzes and exams. Despite their prevalence, very little work has been done to explore how the framing of assessment questions may influence student performance and affect. Here, we conduct a quasi-random experimental study where students in different sections of the same course were given isomorphic questions that varied in their framing of experimental scenarios. One section was provided a description using the self-referential term "you", placing the student in the experiment; another section received the same scenario that used classmate names; while a third section's scenario integrated counterstereotypical scientist names. Our results demonstrate that there was no difference in performance throughout the semester between the sections, nor were there differences in students' self-reported stress and identity. However, students in all three sections indicated that they most preferred the self-referential framing, providing a variety of reasons that suggest that these variants may influence how well a student reads and processes the question. In addition, our results also indicate that the framing of these scenarios can also have a large impact on some students' affect and attitude toward the question. We conclude by discussing implications for the biology education research community and biology instructors.

How Administration Stakes and Settings Affect Student Behavior and Performance on a Biology Concept Assessment.

Biology instructors use concept assessments in their courses to gauge student understanding of important disciplinary ideas. Instructors can choose to administer concept assessments based on participation (i.e., lower stakes) or the correctness of responses (i.e., higher stakes), and students can complete the assessment in an in-class or out-of-class setting. Different administration conditions may affect how students engage with and perform on concept assessments, thus influencing how instructors should interpret the resulting scores. Building on a validity framework, we collected data from 1578 undergraduate students over 5 years under five different administration conditions. We did not find significant differences in scores between lower-stakes in-class, higher-stakes in-class, and lower-stakes out-of-class conditions, indicating a degree of equivalence among these three options. We found that students were likely to spend more time and have higher scores in the higher-stakes out-of-class condition. However, we suggest that instructors cautiously interpret scores from this condition, as it may be associated with an increased use of external resources. Taken together, we highlight the lower-stakes out-of-class condition as a widely applicable option that produces outcomes similar to in-class conditions, while respecting the common desire to preserve classroom instructional time.

Insight from Biology Program Learning Outcomes: Implications for Teaching, Learning, and Assessment.

Learning goals and objectives are a key part of instruction, informing curricular design, assessment, and learning. These goals and objectives are also applied at the programmatic level, with program learning outcomes (PLOs) providing insight into the skills that undergraduate biology programs intend for their students to master. PLOs are mandated by all major higher education accreditation agencies and play integral roles in programmatic assessment. Despite their importance, however, there have not been any prior attempts to characterize PLOs across undergraduate biology programs in the United States. Our study reveals that many programs may not be using PLOs to communicate learning goals with students. We also identify key themes across these PLOs and differences in skills listed between institution types. For example, some Vision & Change core competencies (e.g., interdisciplinary nature of science; connecting science to society; quantitative reasoning) are highlighted by a low percentage of programs, while others are shared more frequently between programs. Similarly, we find that biology programs at 4-year institutions likely emphasize PLOs relating to computational skills and research more than at 2-year institutions. We conclude by discussing implications for how to best use PLOs to support student learning, assessment, and curricular improvements.

Increased Pass Rates in Introductory Biology: Benefits and Potential Costs of Implementing a Mathematics Prerequisite in a Community College Setting.

We explored the impacts of a mathematics prerequisite on student success in Introductory Biology, focusing on students historically underserved in science, technology, engineering, and mathematics (STEM). Specifically, we studied Introductory Biology student outcomes 5 years before and 6 years after adding the prerequisite. Students who had not previously passed Intermediate Algebra had a 54.91% chance of passing Introductory Biology, compared with a ​​69.25% chance for students who had passed this math course. Furthermore, we found a disproportionate benefit of passing the math course for Pell Grant recipients. When considering pre- versus post-prerequisite terms of Introductory Biology, we found pass rates were significantly higher after the mathematics prerequisite was required, but grades were not. After the mathematics prerequisite, enrollments in Introductory Biology temporarily decreased in comparison to a similar chemistry course and the college's overall enrollments, a potential cost to students. Pell Grant recipients and women took Introductory Biology at the same rate as before, and contrary to our hypothesis, we saw the proportion of persons excluded due to ethnicity or race (PEER) students enrolled in Introductory Biology was higher after the implementation. This study provides a model for assessing prerequisites in a local context and contributes evidence that mathematical prerequisites can benefit students.

A fully integrated undergraduate introductory biology and chemistry course with a community-based focus II: Assessment of course effectiveness.

In the Fall of 2016, we created an integrated introductory biology/chemistry course for first-semester students at Wellesley College. This course was designed to meaningfully integrate chemistry and molecular cell biology while also building community and fostering mentorship both inside and outside the classroom. Here, we describe the assessment of this integrated course through a combination of multivariate analyses of student transcript data and student focus group discussions. Our assessment found that the integrated course provided a strongly collaborative working environment for students that provided them with skills that promoted success in future courses. Along with a rigorous consideration of the interplay between biology and chemistry, these skills appeared to support positive longer-term student outcomes. In particular, we observed significant impacts on student persistence into and performance in intermediate and advanced courses. Students from the integrated course were also significantly more likely to declare a major in biochemistry than students who took one of the traditional introductory courses. In addition, our assessment also noted the importance of a cohesive instructional team and broad faculty participation in the success and sustainability of the course.

An instructional definition and assessment rubric for bioinformatics instruction.

The lack of an instructional definition of bioinformatics delays its effective integration into biology coursework. Using an iterative process, our team of biologists, a mathematician/computer scientist, and a bioinformatician together with an educational evaluation and assessment specialist, developed an instructional definition of the discipline: Bioinformatics is "an interdisciplinary field that is concerned with the development and application of algorithms that analyze biological data to investigate the structure and function of biological polymers and their relationships to living systems." The field is defined in terms of its two primary foundational disciplines, biology and computer science, and its interdisciplinary nature. At the same time, we also created a rubric for assessing open-ended responses to a prompt about what bioinformatics is and how it is used. The rubric has been shown to be reliable in successive rounds of testing using both common percent agreement (89.7%) and intraclass correlation coefficient (0.620) calculations. We offer the definition and rubric to life sciences instructors to help further integrate bioinformatics into biology instruction, as well as for fostering further educational research projects.

Online biology degree program broadens access for women, first-generation to college, and low-income students, but grade disparities remain.

Online education has grown rapidly in recent years with many universities now offering fully online degree programs even in STEM disciplines. These programs have the potential to broaden access to STEM degrees for people with social identities currently underrepresented in STEM. Here, we ask to what extent is that potential realized in terms of student enrollment and grades for a fully online degree program. Our analysis of data from more than 10,000 course-enrollments compares student demographics and course grades in a fully online biology degree program to demographics and grades in an equivalent in-person biology degree program at the same university. We find that women, first-generation to college students and students eligible for federal Pell grants constitute a larger proportion of students in the online program compared to the in-person mode. However, the online mode of instruction is associated with lower course grades relative to the in-person mode. Moreover, African American/Black, Hispanic/Latinx, Native American, and Pacific Islander students as well as federal Pell grant eligible students earned lower grades than white students and non-Pell grant eligible students, respectively, but the grade disparities were similar among both in-person and online student groups. Finally, we find that grade disparities between men and women are larger online compared to in-person, but that for first-generation to college women, the online mode of instruction is associated with little to no grade gap compared to continuing generation women. Our findings indicate that although this online degree program broadens access for some student populations, inequities in the experience remain and need to be addressed in order for online education to achieve its inclusive mission.

A Call for Data-Driven Networks to Address Equity in the Context of Undergraduate Biology.

National efforts to improve equitable teaching practices in biology education have led to an increase in research on the barriers to student participation and performance, as well as solutions for overcoming these barriers. Fewer studies have examined the extent to which the resulting data trends and effective strategies are generalizable across multiple contexts or are specific to individual classrooms, institutions, or geographic regions. To address gaps in our understanding, as well as to establish baseline information about students across contexts, a working group associated with a research coordination network (Equity and Diversity in Undergraduate STEM, EDU-STEM) convened in Las Vegas, Nevada, in November of 2019. We addressed the following objectives: 1) characterize the present state of equity and diversity in undergraduate biology education research; 2) address the value of a network of educators focused on science, technology, engineering, and mathematics equity; 3) summarize the status of data collection and results; 4) identify and prioritize questions and interventions for future collaboration; and 5) construct a recruitment plan that will further the efforts of the EDU-STEM research coordination network. The report that follows is a summary of the conclusions and future directions from our discussion.

Paying Our Dues: The Role of Professional Societies in the Evolution of Mathematical Biology Education.

Mathematical biology education provides key foundational underpinnings for the scholarly work of mathematical biology. Professional societies support such education efforts via funding, public speaking opportunities, Web presence, publishing, workshops, prizes, opportunities to discuss curriculum design, and support of mentorship and other means of sustained communication among communities of scholars. Such programs have been critical to the broad expansion of the range and visibility of research and educational activities in mathematical biology. We review these efforts, past and present, across multiple societies-the Society for Mathematical Biology (SMB), the Symposium on Biomathematics and Ecology Education and Research (BEER), the Mathematical Association of America (MAA), and the Society for Industrial and Applied Mathematics (SIAM). We then proceed to suggest ways that professional societies can serve as advocates and community builders for mathematical biologists at all levels, noting that education continues throughout a career and also emphasizing the value of educating new generations of students. Our suggestions include collecting and disseminating data related to biomath education; developing and maintaining mentoring systems and research communities; and providing incentives and visibility for educational efforts within mathematical biology.

Beyond the lab bench: Pathways in inclusion, equity, and diversity in biology education and social justice.

Over the past six years, I describe my personal journey into promoting inclusion, equity, and diversity in biology education and social justice. In my personal journey, I will describe how I found my passion in mentoring and teaching Native American, Latinx, and non-traditional undergraduates in cell and developmental biology. I will also describe how Dr. Karen Gross' concept of lasticity aligned with culturally-responsive teaching and mentoring can help foster transformative learning for all undergraduates.

Community College Instructors' Perceptions of Constraints and Affordances Related to Teaching Quantitative Biology Skills and Concepts.

Quantitative skills are an important competency for undergraduate biology students and should be incorporated early and frequently in an undergraduate's career. Community colleges (CCs) are responsible for teaching introductory biology to a large proportion of biology and prehealth students, and quantitative skills are critical for their careers. However, we know little about the challenges and affordances that CC instructors encounter when incorporating quantitative skills into their courses. To explore this, we interviewed CC biology instructors (n = 20) about incorporating quantitative biology (QB) instruction into their classes. We used a purposeful sampling approach to recruit instructors who were likely to have tried evidence-based pedagogies and were likely aware of the importance of QB instruction. We used open coding to identify themes related to the affordances to and constraints on teaching QB. Overall, our study participants met with challenges typical of incorporating new material or techniques into any college-level class, including perceptions of student deficits, tension between time to teach quantitative skills and cover biology content, and gaps in teacher professional knowledge (e.g., content and pedagogical content knowledge). We analyze these challenges and offer potential solutions and recommendations for professional development to support QB instruction at CCs.

Molecular Concepts Adaptive Assessment (MCAA) Characterizes Undergraduate Misconceptions about Molecular Emergence.

This paper discusses the results of two experiments assessing undergraduate students' beliefs about the random nature of molecular environments. Experiment 1 involved the implementation of a pilot adaptive assessment ( n = 773) and focus group discussions with undergraduate students enrolled in first- through third-year biology courses; experiment 2 involved the distribution of the redesigned adaptive assessment to the same population of students in three consecutive years ( n = 1170). The overarching goal of the study was to provide a detailed characterization of learners' perceptions and beliefs regarding molecular agency, environments, and diffusion and whether or not those beliefs change over time. Our results indicated that advanced learners hold as many misconceptions as novice learners and that confidence in their misconceptions increases as they advance through their undergraduate education. In particular, students' understanding of random/Brownian motion is complex and highly contextual, suggesting that the way in which we teach biology does not adequately remediate students' preconceived notions of molecular agency and may actually reinforce them.

Formation of the Inclusive Environments and Metrics in Biology Education and Research (iEMBER) Network: Building a Culture of Diversity, Equity, and Inclusion.

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 .

GenBio-MAPS: A Programmatic Assessment to Measure Student Understanding of Vision and Change Core Concepts across General Biology Programs.

The Vision and Change report provides a nationally agreed upon framework of core concepts that undergraduate biology students should master by graduation. While identifying these concepts was an important first step, departments also need ways to measure the extent to which students understand these concepts. Here, we present the General Biology-Measuring Achievement and Progression in Science (GenBio-MAPS) assessment as a tool to measure student understanding of the core concepts at key time points in a biology degree program. Data from more than 5000 students at 20 institutions reveal that this instrument distinguishes students at different stages of the curriculum, with an upward trend of increased performance at later time points. Despite this trend, we identify several concepts that advanced students find challenging. Linear mixed-effects models reveal that gender, race/ethnicity, English-language status, and first-generation status predict overall performance and that different institutions show distinct performance profiles across time points. GenBio-MAPS represents the first programmatic assessment for general biology programs that spans the breadth of biology and aligns with the Vision and Change core concepts. This instrument provides a needed tool to help departments monitor student learning and guide curricular transformation centered on the teaching of core concepts.

Can I Have Your Recipe? Using a Fidelity of Implementation (FOI) Framework to Identify the Key Ingredients of Formative Assessment for Learning.

For decades, formative assessment has been identified as a high-impact instructional practice that positively affects student learning. Education reform documents such as Vision and Change: A Call to Action expressly identify frequent, ongoing formative assessment and feedback as a key instructional practice in student-centered learning environments. Historically, effect sizes between 0.4 and 0.7 have been reported for formative assessment experiments. However, more recent meta-analyses have reported much lower effect sizes. It is unclear whether the variability in reported effects is due to formative assessment as an instructional practice in and of itself, differences in how formative assessment was enacted across studies, or other mitigating factors. We propose that application of a fidelity of implementation (FOI) framework to define the critical components of formative assessment will increase the validity of future impact studies. In this Essay, we apply core principles from the FOI literature to hypothesize about the critical components of formative assessment as a high-impact instructional practice. In doing so, we begin the iterative process through which further research can develop valid and reliable measures of the FOI of formative assessment. Such measures are necessary to empirically determine when, how, and under what conditions formative assessment supports student learning.

Can mixed assessment methods make biology classes more equitable?

Many factors have been proposed to explain the attrition of women in science, technology, engineering and math fields, among them the lower performance of women in introductory courses resulting from deficits in incoming preparation. We focus on the impact of mixed methods of assessment, which minimizes the impact of high-stakes exams and rewards other methods of assessment such as group participation, low-stakes quizzes and assignments, and in-class activities. We hypothesized that these mixed methods would benefit individuals who otherwise underperform on high-stakes tests. Here, we analyze gender-based performance trends in nine large (N > 1000 students) introductory biology courses in fall 2016. Females underperformed on exams compared to their male counterparts, a difference that does not exist with other methods of assessment that compose course grade. Further, we analyzed three case studies of courses that transitioned their grading schemes to either de-emphasize or emphasize exams as a proportion of total course grade. We demonstrate that the shift away from an exam emphasis consequently benefits female students, thereby closing gaps in overall performance. Further, the exam performance gap itself is reduced when the exams contribute less to overall course grade. We discuss testable predictions that follow from our hypothesis, and advocate for the use of mixed methods of assessments (possibly as part of an overall shift to active learning techniques). We conclude by challenging the student deficit model, and suggest a course deficit model as explanatory of these performance gaps, whereby the microclimate of the classroom can either raise or lower barriers to success for underrepresented groups in STEM.

Low cost and open source multi-fluorescence imaging system for teaching and research in biology and bioengineering.

The advent of easy-to-use open source microcontrollers, off-the-shelf electronics and customizable manufacturing technologies has facilitated the development of inexpensive scientific devices and laboratory equipment. In this study, we describe an imaging system that integrates low-cost and open-source hardware, software and genetic resources. The multi-fluorescence imaging system consists of readily available 470 nm LEDs, a Raspberry Pi camera and a set of filters made with low cost acrylics. This device allows imaging in scales ranging from single colonies to entire plates. We developed a set of genetic components (e.g. promoters, coding sequences, terminators) and vectors following the standard framework of Golden Gate, which allowed the fabrication of genetic constructs in a combinatorial, low cost and robust manner. In order to provide simultaneous imaging of multiple wavelength signals, we screened a series of long stokes shift fluorescent proteins that could be combined with cyan/green fluorescent proteins. We found CyOFP1, mBeRFP and sfGFP to be the most compatible set for 3-channel fluorescent imaging. We developed open source Python code to operate the hardware to run time-lapse experiments with automated control of illumination and camera and a Python module to analyze data and extract meaningful biological information. To demonstrate the potential application of this integral system, we tested its performance on a diverse range of imaging assays often used in disciplines such as microbial ecology, microbiology and synthetic biology. We also assessed its potential use in a high school environment to teach biology, hardware design, optics, and programming. Together, these results demonstrate the successful integration of open source hardware, software, genetic resources and customizable manufacturing to obtain a powerful, low cost and robust system for education, scientific research and bioengineering. All the resources developed here are available under open source licenses.

Effectiveness of a Low-Cost, Graduate Student-Led Intervention on Study Habits and Performance in Introductory Biology.

Institutions have developed diverse approaches that vary in effectiveness and cost to improve student performance in introductory science, technology, engineering, and mathematics courses. We developed a low-cost, graduate student-led, metacognition-based study skills course taught in conjunction with the introductory biology series at Miami University. Our approach aimed to improve performance for underachieving students by combining an existing framework for the process of learning (the study cycle) with concrete tools (outlines and concept maps) that have been shown to encourage deep understanding. To assess the effectiveness of our efforts, we asked 1) how effective our voluntary recruitment model was at enrolling the target cohort, 2) how the course impacted performance on lecture exams, 3) how the course impacted study habits and techniques, and 4) whether there are particular study habits or techniques that are associated with large improvements on exam scores. Voluntary recruitment attracted only 11-17% of our target cohort. While focal students improved on lecture exams relative to their peers who did not enroll, gains were relatively modest, and not all students improved. Further, although students across both semesters of our study reported improved study habits (based on pre and post surveys) and on outlines and concept maps (based on retrospectively scored assignments), gains were more dramatic in the Fall semester. Multivariate models revealed that, while changes in study habits and in the quality of outlines and concept maps were weakly associated with change in performance on lecture exams, relationships were only significant in the Fall semester and were sometimes counterintuitive. Although benefits of the course were offset somewhat by the inefficiency of voluntary recruitment, we demonstrate the effectiveness our course, which is inexpensive to implement and has advantage of providing pedagogical experience to future educators.