Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math

Using personas and the ADKAR framework to evaluate a network designed to facilitate sustained change toward active learning in the undergraduate classroom

One promising practice for increasing active learning in undergraduate science education is the use of a mentoring network. The Promoting Active Learning and Mentoring (PALM) Network was launched with practitioners from several professional societies and disciplines to make changes in their teaching based on evidence-based practices and to encourage the members to reflect deeply on their teaching experiences. Members of the Network interviewed seven previous Fellows, 1 to 6 years after completing their fellowship, to better understand the value of the Network and how these interactions impacted their ability to sustain change toward more active teaching practices. The interviews resulted in the creation of three personas that reflect the kinds of educators who engaged with the Network: Neil the Novice, Issa the Isolated, and Etta the Expert. Key themes emerged from the interviews about how interactions with the PALM Network sustained change toward evidence-based teaching practices allowing the members to readily adapt to the online learning environment during the COVID-19 pandemic. Understanding how the personas intersect with the ADKAR model contributes to a better understanding of how mentoring networks facilitate transformative change toward active learning and can inform additional professional development programs.

Supplementary Information

The online version contains supplementary material available at 10.1007/s44217-022-00023-w.

Teaching meiosis with the DNA triangle framework: A classroom activity that changes how students think about chromosomes

Many biology students struggle to learn about the process of meiosis and have particular difficulty understanding the molecular basis of crossing over and the importance of homologous pairing for proper segregation. To help students overcome these challenges, we designed an activity that uses a newly developed Chromosome Connections Kit® from 3-D Molecular Designs to allow learners to explore meiosis at the molecular level. We took a backwards design approach in constructing an effective classroom activity. We developed evidence-based learning objectives and designed a crossing over activity that targets students' misconceptions and key concepts about meiosis. Assessment questions were designed based on the learning objectives and common student misconceptions. The activity consists of three parts: an interactive introductory video, a model-based activity, and reflection questions. The activity was first beta-tested with a small number of students and revised based on feedback. The revised activity was deployed in a mid-level Cell and Molecular Biology course. Analysis of pre-/post-assessment data from students who completed the activity (n = 83) showed strong learning gains on concepts related to ploidy, homology, segregation, and the mechanism and purpose of crossing over. Additionally, students who participated in the activity outperformed nonparticipants on a Genetics assessment about meiosis the following semester.

Implementing Hands-On Molecular and Synthetic Biology Education Using Cell-Free Technology

Active, hands-on learning has been shown to improve educational outcomes in STEM subjects. However, implementation of hands-on activities for teaching biology has lagged behind other science disciplines due to challenges associated with the use of living cells. To address this limitation, we developed BioBits^®: biology education activities enabled by freeze-dried cell-free reactions that can be activated by just adding water. Here, we describe detailed protocols for labs designed to teach the central dogma, biomaterial formation, an important mechanism of antibiotic resistance, and CRISPR-Cas9 gene editing via cell-free synthesis of proteins with visual outputs. The activities described are designed for a range of educational levels and time/resource requirements, so that educators can select the demonstrations that best fit their needs. We anticipate that the availability of BioBits^® activities will enhance biology instruction by enabling hands-on learning in a variety of educational settings.

The Do-It-Yourself Electrocardiogram

Hands-on labs are a critical component of biomedical engineering undergraduate education. Due to both the pandemic and the growing interest in online education, we developed a Do-it-yourself Electrocardiogram (DIY EKG) project. The Arduino-based DIY EKG kit instructed students how to build a circuit to obtain their own EKG and then analyze their EKG data using Matlab. Despite the obstacles of virtually trouble-shooting, 85.4% of students (n = 103) were able to obtain their own EKG at home. We have provided the labelled circuit drawings, step-by-step instructions, Matlab files, and results in this paper. Survey results indicate that 89% of students felt the DIY EKG project was a “challenging yet fulfilling experience.”

Instructor facilitation mediates students' negative perceptions of active learning instruction

Studies have demonstrated students' resistance to active learning, despite evidence illustrating that their learning is improved relative to students in lectures. Specifically, while active learning and group work are effective at engaging students in their learning process, studies report that students' perceptions of active learning approaches are not always positive. What remains underexplored is whether students' perceptions of active learning improve with effective instructor facilitation and whether there exists differential perceptions between racially minoritized students and represented students. Here, we estimate students' perceptions of effective instructor facilitation as the mediator in the relationship between active learning and perceptions of learning and perceived utility for class activities (task value). Then, we examine differences by racial identification. We collected classroom observation data to empirically categorize courses as active learning or lecture-based and surveyed 4,257 college students across 25 STEM classrooms at a research-intensive university. We first examined the relationship between active learning on student perceptions and found a negative relationship between active learning and perceptions of learning and task value for both racially minoritized students and represented students. Next, we assessed whether students' perceptions of instructor effectiveness in facilitating group activities mediate these negative relationships. We found that, on average, students of all races were more likely to positively perceive instructor facilitation in active learning classes relative to lectures. In turn, the positive perceptions of instructor facilitation partially suppressed the negative relationship between active learning and perceptions of learning and task value. These results demonstrate that effective instructor facilitation can influence both students' self-assessment of learning and perceived utility of the learning activities, and underscores the importance of developing pedagogical competence among college instructors.

Toward "Inclusifying" the Underrepresented Minority in STEM Education Research

Research in undergraduate STEM education often requires the collection of student demographic data to assess outcomes related to diversity, equity, and inclusion. Unfortunately, this collection of demographic data continues to be constrained by socially constructed categories of race and ethnicity, leading to problematic panethnic groupings such as "Asian" and "Latinx." Furthermore, these all-encompassing categories of race and ethnicity exasperate the problematic "underrepresented minority" (URM) label when only specific races and ethnicities are categorized as URMs. We have long seen calls for improved outcomes related to URMs in undergraduate STEM education, but seldom have we seen our own understanding of what it means to be a URM go beyond socially constructed categories of race and ethnicity. If we aim to not only improve diversity outcomes but also make undergraduate STEM education more equitable and inclusive, we must reevaluate our use of the term "URM" and its implications for demographic data collection. The classifications of "underrepresented" and "minority" are more nuanced than simple racial categories. Though there has been development of alternative terms to URM, each with their own affordances, the main goal of this article is not to advocate for one term over another but rather to spark a much-needed dialogue on how we can "inclusify" our collection of racial and ethnic demographic data, particularly through data disaggregation and expanding our definition of what it means to be both "underrepresented" and a "minority" within STEM.

Juliana JR, Stovall DB, Whittington R, Zhong M, Ballen CJ. Context Matters: Social Psychological Factors That Underlie Academic Performance across Seven Institutions

To enhance equity and diversity in undergraduate biology, recent research in biology education focuses on best practices that reduce learning barriers for all students and improve academic performance. However, the majority of current research into student experiences in introductory biology takes place at large, predominantly White institutions. To foster contextual knowledge in biology education research, we harnessed data from a large research coordination network to examine the extent of academic performance gaps based on demographic status across institutional contexts and how two psychological factors, test anxiety and ethnicity stigma consciousness, may mediate performance in introductory biology. We used data from seven institutions across three institution types: 2-year community colleges, 4-year inclusive institutions (based on admissions selectivity; hereafter, inclusive), and 4-year selective institutions (hereafter, selective). In our sample, we did not observe binary gender gaps across institutional contexts, but found that performance gaps based on underrepresented minority status were evident at inclusive and selective 4-year institutions, but not at community colleges. Differences in social psychological factors and their impacts on academic performance varied substantially across institutional contexts. Our findings demonstrate that institutional context can play an important role in the mechanisms underlying performance gaps.

A Framework of College Student Buy-in to Evidence-Based Teaching Practices in STEM: The Roles of Trust and Growth Mindset

Evidence-based teaching practices (EBPs) foster college science, technology, engineering, and mathematics (STEM) students' engagement and performance, yet our knowledge of what contributes to the effectiveness of these practices is less established. We propose a framework that links four social-cognitive variables-students' trust in their instructors, growth mindset, buy-in to instructional practices, and course engagement-to long-standing desired student outcomes of academic performance and intent to persist in science. This framework was tested in classrooms identified as having a high level of EBP implementation with a multi-institutional sample of 2102 undergraduates taught by 14 faculty members. Results indicate that the buy-in framework is a valid representation of college students' learning experiences within EBP contexts overall as well as across underrepresented student groups. In comparison to students' level of growth mindset, students' trust in their instructors was more than twice as predictive of buy-in to how the course was being taught, suggesting that students' views of their instructors are more associated with thriving in a high-EBP course environment than their views of intelligence. This study contributes to the dialogue on transforming undergraduate STEM education by providing a validated student buy-in framework as a lens to understand how EBPs enhance student outcomes.

Brief Training and Intensive Mentoring Guide Postdoctoral Scholars to Student-Centered Instruction

The Science Teaching Experience Program-Working in Science Education (STEP-WISE) provides teaching experience for postdoctoral scholars holding full-time research appointments. Through a combination of mentorship, deliberate practice, and feedback, the postdocs learn and apply inclusive, evidence-based pedagogies. STEP-WISE is integrated into postdocs' demanding schedules and is sustainable for institutions to run. Here, we assess the effectiveness of STEP-WISE. We used the Classroom Observation Protocol for Undergraduate STEM instruction to quantify instructor and student behaviors in 20 STEP-WISE class sessions from seven courses designed and taught by postdocs in the program. We found that all of the postdocs used student-centered teaching strategies. Also, using a design-based research framework, we studied the program to identify the salient components of its design. Four interconnected key elements contribute to the program's success: 1) two training sessions, 2) a precourse meeting with the mentor, 3) implementation of active-learning strategies with support, and 4) debriefing with the mentor after each class session. STEP-WISE is a replicable model to support postdocs seeking training and experience in evidence-based teaching practices geared to improving undergraduate education and transforming pedagogical practice. We conclude that high-impact teaching can be learned early in a career with streamlined training and intensive mentoring.

Evidence-based teaching practices correlate with increased exam performance in biology

Evidence-based teaching practices are associated with improved student academic performance. However, these practices encompass a wide range of activities and determining which type, intensity or duration of activity is effective at improving student exam performance has been elusive. To address this shortcoming, we used a previously validated classroom observation tool, Practical Observation Rubric to Assess Active Learning (PORTAAL) to measure the presence, intensity, and duration of evidence-based teaching practices in a retrospective study of upper and lower division biology courses. We determined the cognitive challenge of exams by categorizing all exam questions obtained from the courses using Bloom’s Taxonomy of Cognitive Domains. We used structural equation modeling to correlate the PORTAAL practices with exam performance while controlling for cognitive challenge of exams, students’ GPA at start of the term, and students’ demographic factors. Small group activities, randomly calling on students or groups to answer questions, explaining alternative answers, and total time students were thinking, working with others or answering questions had positive correlations with exam performance. On exams at higher Bloom’s levels, students explaining the reasoning underlying their answers, students working alone, and receiving positive feedback from the instructor also correlated with increased exam performance. Our study is the first to demonstrate a correlation between the intensity or duration of evidence-based PORTAAL practices and student exam performance while controlling for Bloom’s level of exams, as well as looking more specifically at which practices correlate with performance on exams at low and high Bloom’s levels. This level of detail will provide valuable insights for faculty as they prioritize changes to their teaching. As we found that multiple PORTAAL practices had a positive association with exam performance, it may be encouraging for instructors to realize that there are many ways to benefit students’ learning by incorporating these evidence-based teaching practices.

Investigating Student Perceptions of Instructor Talk: Alignment with Researchers' Categorizations and Analysis of Remembered Language

Instructor Talk-the noncontent language used by an instructor during class time-is likely to influence learning environments in science classrooms from the student perspective. Despite Instructor Talk being found in every science course thus far, investigations into student perceptions and memories of it are limited. We investigated to what extent undergraduate biology students 1) were aligned with researchers in their perceptions of Instructor Talk as Positively Phrased or Negatively Phrased and 2) remembered Instructor Talk. To test these ideas, we engaged 90 biology students in a multipart assessment. First, students were given randomly selected Instructor Talk quotes, half Positively Phrased and half Negatively Phrased, and were asked to evaluate each quote as promoting a positive or negative learning environment. Overall, students evaluated the Instructor Talk quotes similarly to researchers' categorizations (p < 0.0001). Second, students were asked to provide examples of remembered instructor language from their biology courses that they felt promoted a positive or negative learning environment. Most students shared multiple memories, and ∼75% of these memories could be coded with the Instructor Talk frameworks. Given that students perceive and remember Instructor Talk as impacting the learning environment, Instructor Talk may be an explanatory variable for differential student outcomes across studies of active learning.

Reimagining the Introductory Math Curriculum for Life Sciences Students

Calculus is typically one of the first college courses encountered by science, technology, engineering, and mathematics (STEM) majors. Calculus often presents major challenges affecting STEM student persistence, particularly for students from groups historically underrepresented in STEM. For life sciences majors, calculus courses may not offer content that is relevant to biological systems or connect with students' interests in biology. We developed a transformative approach to teaching college-level math, using a dynamical systems perspective that focuses first on demonstrating why students need math to understand living systems, followed by providing quantitative and computational skills, including concepts from calculus, that students need to build and analyze mathematical models representing these systems. We found that students who complete these new math courses perform better in subsequent science courses than their counterparts who take traditional calculus courses. We also provide evidence that the new math curriculum positively impacts students' academic performance, with data that show narrowing of the achievement gap, based on students' math grades, between student subgroups in the new math courses. Moreover, our results indicate that students' interest in the concepts and skills critical to the quantitative preparation of 21st-century life sciences majors increases after completing the new contextualized math curriculum.

Understanding Differences in Underrepresented Minorities and First-Generation Student Perceptions in the Introductory Biology Classroom

We used quantitative methods to better understand the perceptions of students in an introductory biology course (Biology 101) at a small, liberal arts college (SLAC) that is also a primarily white institution (PWI). In pre/post surveys, we asked students questions related to their attitudes and beliefs about their professor, classmates, and Biology 101. We were especially interested in the responses and outcomes of underrepresented minorities (URM) and first-generation (FG) students. Our findings suggest URM and FG students have a decreased sense of belonging and increased perceptions of exclusion and differential treatment due to race. These findings can explain, in part, the disparity in Biology 101 grade and STEM (science, technology, engineering, and math) attrition.

Students' learning behavior in digital education for radiation oncology

Purpose

Digitalization of medical education is an important trend in terms of reforming and modernizing the global education environment. It has been long requested by students and politicians. The goal of this study was to assess the student perception of a newly developed digital educational program in radiation oncology (RO) using an interactive e‑book combined with short learnings clips on a YouTube channel combined with periodic videoconferences and a forum for queries.

Methods

We performed five evaluations during and at the end of two terms with multiple-choice and free-text answers. We evaluated student perception of our new digital learning scenario in three semesters: one pre-clinical and two clinical semesters. In addition, we analyzed all comments from the kMED forum, the YouTube channel, or the e‑mail contacts.

We analyzed the learning behavior of the students based on access to the videos and the number and quality of the reflective questions answered as well as the results of the final examinations.

Results

The students accepted the offer for asynchronous teaching and mainly learned on weekdays (74% of the videos), but also on weekends (23%) and less on public holidays (4%). The answer quality of the reflective questions was good with over 50% correct answers on the first attempt. Learning to be on one’s own authority was very difficult for the students, even in the last clinical semesters of the medical study. Without direct intervention by the teacher, access to the learning material by the students was limited and delayed. Therefore, voluntary interim tests were performed during the first analysis term, which led to an increased number of student accesses to the videos and higher number of answers. Nevertheless, in the first analysis term, the average results in the final exam of the students who did not perform the interim test were below average at 59.1%, and the students who performed the test had better results at 69.5% but this was also not satisfactory. In the second analysis term, we taught with the same digital teaching model but with an additional scheme for learning over the term, 2‑week compulsory intermediate tests, and frequent videoconferences to answer any questions. In this term, we measured a success rate of 93% in the final exam. All annotations were very positive regarding the new educational project. The evaluations showed high acceptance of the new education program. The students stated they would prefer the new education course to be continued in future.

Conclusion

Digital teaching methods make not only the type and quality of teaching transparent, but also the learning behavior of the students. Our analysis has shown that, in addition to the quality of the teaching, the clear structure and specification of the learning content per learning week as well as regular monitoring of what has been learned are of decisive importance for the learning success of the students.

Supplementary Information

The online version of this article (10.1007/s00066-021-01858-2) contains supplementary material, which is available to authorized users.

Let's talk teaching: Progressive pedagogy in anthropology courses

OBJECTIVES

In this article, we discuss research from the science of teaching and learning and from progressive pedagogy, with the aim of discussing how these fields can help us all become better teachers.

METHODS

Our methods were based on assessment of the literature and our in-class practices.

RESULTS

We find that the practices of critical progressive pedagogy are rooted in good research practices and are based both on new research and on fundamental aspects of teaching and learning.

CONCLUSIONS

While some of the ideas mentioned in this piece might be seen as radical, we argue that everyone can benefit from a discussion of these concepts and ideas. Teaching is something that we all do in various ways. Progressive pedagogy allows us to create classrooms as a space to welcome all learners and also pushes educators toward creating a more diverse, inclusive, and equitable classroom.

Flipped Learning in Engineering Modules Is More Than Watching Videos: The Development of Personal and Professional Skills

The Accreditation Board for Engineering and Technology (ABET) has highlighted two key outcomes for students of all accredited engineering programs: the ability to communicate effectively with a range of audiences and the capacity to acquire and apply new knowledge as needed, using appropriate learning strategies. Likewise, in recent years, written exams, assignments, and oral presentations show transmission-skill deficiencies among engineering students. Flipped teaching serves to boost students to meet these outcomes and other competencies: comprehension reading, communication skills, character building, collaborative work, critical thinking, or creativity. So, flipped learning is more than watching videos. This research proposes two evidence-based transferable learning strategies built on a flipped-teaching model and was applied by the authors in engineering courses during the second year of the global pandemic caused by COVID-19: problem-based learning and teamwork assignments. The study comprised two phases. First, a systematic review of reports, writings, and exams delivered by students. It included some video-watching analytics to detect misuse. In the second stage, the authors ascertained trends of these outcomes. Student perceptions and other achievement indicators illustrate the possibilities for encouraging learners to achieve transmission, communication, and literacy outcomes. Results indicate that these learner-centered approaches may help students learn better, comprehend, apply, and transmit knowledge. But they require an institutional commitment to implementing proactive instruction techniques that emphasize the importance of student communication skills.

Using Advanced Learning Technologies with University Students: An Analysis with Machine Learning Techniques

The use of advanced learning technologies (ALT) techniques in learning management systems (LMS) allows teachers to enhance self-regulated learning and to carry out the personalized monitoring of their students throughout the teaching–learning process. However, the application of educational data mining (EDM) techniques, such as supervised and unsupervised machine learning, is required to interpret the results of the tracking logs in LMS. The objectives of this work were (1) to determine which of the ALT resources would be the best predictor and the best classifier of learning outcomes, behaviours in LMS, and student satisfaction with teaching; (2) to determine whether the groupings found in the clusters coincide with the students’ group of origin. We worked with a sample of third-year students completing Health Sciences degrees. The results indicate that the combination of ALT resources used predict 31% of learning outcomes, behaviours in the LMS, and student satisfaction. In addition, student access to automatic feedback was the best classifier. Finally, the degree of relationship between the source group and the found cluster was medium (C = 0.61). It is necessary to include ALT resources and the greater automation of EDM techniques in the LMS to facilitate their use by teachers.

Supporting Teaching and Learning Reform in College Mathematics: Finding Value in Communities of Practice

Improving college STEM (science, technology, engineering, mathematics) student learning outcomes is an ongoing area of focus in Institutions of Higher Education (IHE). This reform includes challenging, changing, and adapting both teaching practices and the learning environment. Communities of practice (CoPs) can support faculty in making these shifts; however, creating large-scale instructional changes in STEM education requires a more careful look at the existing systems and structures in place. In this paper, we investigate a network of regional CoPs composed mainly of mathematics faculty from IHE focused on teaching with inquiry methods. Understanding what faculty need and value to support their instructional changes is important as CoPs and other mechanisms are put in place to increase student success. In this qualitative study, we use the value framework developed by Wenger et al. (2011) to dissect the variety of ways faculty engage and find value in their CoP participation. Faculty participants expressed that CoP participation created unique layers of value in helping them to identify resources to support teaching with inquiry especially during a pandemic, shift their beliefs about teaching, and engage with a network of peers about mathematics and teaching. Findings from this study, conducted during the COVID-19 global pandemic, provide preliminary insights for STEM stakeholders interested in large-scale, ongoing instructional reform to improve student learning outcomes and for networks interested in collectively supporting CoPs with ongoing rather than finite goals.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s41979-021-00061-3.

Look Who's Talking: Teaching and Discourse Practices across Discipline, Position, Experience, and Class Size in STEM College Classrooms

Students are more likely to learn in college science, technology, engineering, and math (STEM) classrooms when instructors use teacher discourse moves (TDMs) that encourage student engagement and learning. However, although teaching practices are well studied, TDMs are not well understood in college STEM classrooms. In STEM courses at a minority-serving institution (MSI; n = 74), we used two classroom observation protocols to investigate teaching practices and TDMs across disciplines, instructor types, years of teaching experience, and class size. We found that instructors guide students in active learning activities, but they use authoritative discourse approaches. In addition, chemistry instructors presented more than biology instructors. Also, teaching faculty had relatively high dialogic, interactive discourse, and neither years of faculty teaching experience nor class size had an impact on teaching practices or TDMs. Our results have implications for targeted teaching professional development efforts across instructor and course characteristics to improve STEM education at MSIs.

Active learning: "Hands-on" meets "minds-on"

[Figure: see text].

Meta-analysis of Gender Performance Gaps in Undergraduate Natural Science Courses

To investigate patterns of gender-based performance gaps, we conducted a meta-analysis of published studies and unpublished data collected across 169 undergraduate biology and chemistry courses. While we did not detect an overall gender gap in performance, heterogeneity analyses suggested further analysis was warranted, so we investigated whether attributes of the learning environment impacted performance disparities on the basis of gender. Several factors moderated performance differences, including class size, assessment type, and pedagogy. Specifically, we found evidence that larger classes, reliance on exams, and undisrupted, traditional lecture were associated with lower grades for women. We discuss our results in the context of natural science courses and conclude by making recommendations for instructional practices and future research to promote gender equity.

Are Faculty Changing? How Reform Frameworks, Sampling Intensities, and Instrument Measures Impact Inferences about Student-Centered Teaching Practices

Although recent studies have used the Classroom Observation Protocol for Undergraduate STEM (COPUS) to make claims about faculty reform, important questions remain: How should COPUS measures be situated within existing reform frameworks? Is there a universal sampling intensity that allows for valid inferences about the frequency of student-centered instruction within a semester or across semesters of a course? These questions were addressed using longitudinal COPUS observations (128 classes, three faculty, 4 years). COPUS behaviors were used to categorize classes into didactic, interactive lecture, or student-centered instructional styles. Sampling intensities (one to 11 classes) were simulated (1000 times) within a course and across semesters. The sampling intensities required for generating valid inferences about 1) the presence of student-centered instruction and 2) the proportion of instructional styles in a course and through time were calculated. Results indicated that the sampling intensity needed to characterize courses and instructors varied and was much higher than previously recommended for instructors with: 1) rare instances of student-centered classes, 2) variability in instructional style, and 3) longitudinal changes in instructional patterns. These conditions are common in early reform contexts. This study highlights the risks of broad, decontextualized sampling protocol recommendations and illustrates how reform frameworks, sampling intensities, and COPUS measures interact to impact inferences about faculty change.

Anti-racist interventions to transform ecology, evolution and conservation biology departments

Racial and ethnic discrimination persist in science, technology, engineering and mathematics fields, including ecology, evolution and conservation biology (EECB) and related disciplines. Marginalization and oppression as a result of institutional and structural racism continue to create barriers to inclusion for Black people, Indigenous people and people of colour (BIPOC), and remnants of historic racist policies and pseudoscientific theories continue to plague these fields. Many academic EECB departments seek concrete ways to improve the climate and implement anti-racist policies in their teaching, training and research activities. We present a toolkit of evidence-based interventions for academic EECB departments to foster anti-racism in three areas: in the classroom; within research laboratories; and department wide. To spark restorative discussion and action in these areas, we summarize EECB's racist and ethnocentric histories, as well as current systemic problems that marginalize non-white groups. Finally, we present ways that EECB departments can collectively address shortcomings in equity and inclusion by implementing anti-racism, and provide a positive model for other departments and disciplines.

Lowering barriers to active learning: a novel approach for online instructional environments

The value of active learning for increasing student comprehension and retention of science, technology, e,ngineering, and mathematics (STEM) concepts within undergraduate courses has proven to be beneficial many times over; however, barriers still exist for both instructors and students. For example, instructors are often left to decide what type of active learning activities to incorporate and how to implement them yet receive little to no formal training about how to do this effectively. Additionally, student resistance to active learning persists, which adds to the pressure faced by some instructors. Compounding these issues is the absence of high-speed Internet in some regions, which makes accessing active learning activities, many of which are offered through online commercial programs, impractical if not impossible for some students. This problem was highlighted during the pandemic when courses transitioned to being partially or fully online. In this article, I describe a novel active learning method that encourages students to cognitively engage with physiology concepts by using digital images to build structures and processes using an approach that is more accessible to everyone, regardless of Internet capabilities. This approach also provides instructors an option for creating their own active learning activity that may be more suitable for their specific level of students or learning outcomes.

i4's Toward Tomorrow Program Enhancing Collaboration, Connections, and Community Using Bioinspired Design

The goal of our i4's Toward Tomorrow Program is to enrich the future workforce with STEM by providing students with an early, inspirational, interdisciplinary experience fostering inclusive excellence. We attempt to open the eyes of students who never realized how much their voice is urgently needed by providing an opportunity for involvement, imagination, invention, and innovation. Students see how what they are learning, designing, and building matters to their own life, community, and society. Our program embodies convergence by obliterating artificially created, disciplinary boundaries to go far beyond STEM or even STEAM by including artists, designers, social scientists, and entrepreneurs collaborating in diverse teams using scientific discoveries to create inventions that could shape our future. Our program connects two recent revolutions by amplifying Bioinspired Design with the Maker Movement and its democratizing effects empowering anyone to innovate and change the world. Our course is founded in original discovery. We explain the process of biological discovery and the importance of scaling, constraints, and complexity in selecting systems for bioinspired design. By spotlighting scientific writing and publishing, students become more science literate, learn how to decompose a biology research paper, extract the principles, and then propose a novel design by analogy. Using careful, early scaffolding of individual design efforts, students build the confidence to interact in teams. Team building exercises increase self-efficacy and reveal the advantages of a diverse set of minds. Final team video and poster project designs are presented in a public showcase. Our program forms a student-centered creative action community comprised of a large-scale course, student-led classes, and a student-created university organization. The program structure facilitates a community of learners that shifts the students' role from passive knowledge recipients to active co-constructors of knowledge being responsible for their own learning, discovery, and inventions. Students build their own shared database of discoveries, classes, organizations, research openings, internships, and public service options. Students find next step opportunities so they can see future careers. Description of our program here provides the necessary context for our future publications on assessment that examine 21st century skills, persistence in STEM, and creativity.

Exploring Faculty Perspectives during Emergency Remote Teaching in Engineering at a Large Public University

In Spring 2020, the College of Engineering at San José State University (SJSU) conducted a comprehensive analysis of the impact of COVID-19 on faculty who were forced to transition to an online learning environment. The purpose of this study is to assess the impact of COVID-19 on faculty teaching methods, assessment methods, and personal well-being. The study was a combination of a quantitative survey and a qualitative study using interviews of engineering faculty teaching in Spring 2020. In the first part, we surveyed all faculty teaching during Spring 2020 in the SJSU College of Engineering about their experiences after the move to 100% online instruction in March 2020. In the second part of the research, we interviewed 23 faculty members to obtain a more in-depth understanding of their experiences during the move online in Spring 2020. Overall, 98 faculty participated in the survey: lecturers (58), tenure-track (18), tenured (13), adjunct (1), and Teaching Associates (1). The faculty reported being worried about their family and their students’ well-being. In addition, 65% of faculty members reported either a moderate or a great deal of stress related to the shelter in place, and this percentage was higher for female faculty (74%) and for tenure-track faculty (83%). Overall, faculty members felt that they had their classes under control most of the time and that the transition to online teaching was positive, even if they felt they had too much work to do and felt always in a hurry and under pressure. From a teaching perspective, the interviews highlight that faculty members’ main concerns focus on testing and assessment and students’ engagement. Overall, SJSU College of Engineering faculty members felt under stress in the transition to online teaching, especially the tenure-track faculty members, but were able to transition their classes with ease.

Beyond Memorization: Exercises that Help Students Forge, Remember and Apply their Knowledge

This personal retrospective describes what I consider to be the two most important learning practices in my classroom: A form of interactive engagement that I call collaborative exercises, and general principles exercises. The power of interactive engagement had already been described and evaluated in the pedagogical literature of the physical sciences, but was not yet used widely in biology when I began teaching. Here, I discuss practical suggestions for implementing IE successfully and strategies for inviting students to try a new way of learning. General principles are everywhere we look-in lectures, titles of textbooks, and in our own minds as we process new information. Many of our students, however, are only marginally familiar with how general principles can revolutionize the way they learn, remember information and solve novel context problems. The general principles exercise stimulates students not only to engage actively with received general principles from lecture, reading and other sources, but also to develop the transferable skill of discovering (not just being told about) the patterns that permeate the natural world and our study of it.

Effective Use of Student-Created Case Studies as Assessment in an Undergraduate Neuroscience Course

Case studies and student-led learning activities are both effective active learning methods for increasing student engagement, promoting student learning, and improving student performance. Here, we describe combining these instructional methods to use student-created case studies as assessment for an online neurovirology module in a neuroanatomy and physiology course. First, students learned about neurovirology in a flipped classroom format using free, open-access virology resources. Then, students used iterative writing practices to write an interrupted case study incorporating a patient narrative and primary literature data on the neurovirulent virus of their choice, which was graded as a writing assessment. Finally, students exchanged case studies with their peers, and both taught and completed the case studies as low-stakes assessment. Student performance and evaluations support the efficacy of case studies as assessment, where iterative writing improved student performance, and students reported increased knowledge and confidence in the corresponding learning objectives. Overall, we believe that using student-created case studies as assessment is a valuable, student-led extension of effective case study pedagogy, and has wide applicability to a variety of undergraduate courses.

How an early, inclusive field course can build persistence in ecology and evolutionary biology

Field courses have been identified as powerful tools for student success in science, but the potential for field courses to address demographic disparities and the mechanisms behind these benefits are not well understood. To address these knowledge gaps, we studied students in a non-majors Ecology and Evolutionary Biology course, Introduction to Field Research and Conservation, at the University of California Santa Cruz (UCSC), a large Hispanic-Serving Institution. We examined (a) the effects of participation on students' perception of their scientific competencies, and (b) how the field course shaped student experiences and built their sense of community, confidence and belonging in science. Our mixed-methods approach included the Persistence in the The Sciences (PITS) survey (Hanauer et al. 2017) with field course students and a control group; interviews, focus groups and prompted student journal entries with a subset of field course students; and participant-observation. We found that field course participants scored higher on all science identity items of the PITS instrument than students in the control (lecture course) group. Field course students from underrepresented minority groups also scored similarly to or higher than their well-represented peers on each of the six PITS survey components. From our qualitative data, themes of growth in peer community, relationships with mentors, confidence living and working outdoors, team-based science experiences, and a sense of contributing to knowledge and discovery interacted throughout the course-especially from the initial overnight field trip to the final one-to assist these gains and strengthen interest in science and support persistence. These findings highlight the importance of holistic support and community building as necessary driving factors in inclusive course design, especially as a way to begin to dismantle structures of exclusion in the sciences.

TESOT: a teaching modality targeting the learning obstacles in global medical education

In higher education, it is a great challenge for instructors to teach international medical students (IMSs) efficiently. These students usually have different learning obstacles and learning style preferences from domestic students. Thus it is necessary to use teaching modalities targeting the specific characteristics of IMSs. Accordingly, we have developed a teaching modality composed of classical teacher-centered approach (TCA), enriched with components of student-centered approach (SCA) and online interactions targeting the learning characteristics of IMSs, which we defined as TESOT (an acronym made of the underlined words' initials). Aside from the online interactions that provide both answers to questions raised by students and guidance throughout a course, this modality contains additional in-classroom components (i.e., pre-lecture quiz, student-led summary, and post-lecture quiz). The effectiveness of this modality was tested in the nervous system module of the Physiology course for IMSs. The final exam scores in the nervous system module in the year taught with TESOT were higher than those earned by students taught with a classical TCA modality in preceding 2 yr. The improvement of teaching effectiveness is attributable to increasing communication, bridging course contexts, and meeting diverse learning style preferences. These results indicate that TESOT as an effective teaching modality is useful for enhancing efficiency of teaching IMSs.

Student Perceptions of Instructor Supportiveness: What Characteristics Make a Difference?

The use of active learning in the undergraduate biology classroom improves student learning and classroom equity, but its use can lead to student anxiety. Instructors can reduce student anxiety through practices that convey supportiveness and valuing of students. We collected students' ratings of their classroom anxiety and perceptions of their instructors' supportiveness, as well as open-response reasons for their ratings, in six large introductory biology classes. These data confirmed a negative relationship between student anxiety and student perceptions of their instructors' support. We used qualitative analysis to identify themes of instructor support and how these themes varied between instructors rated as providing higher or lower support by their students. Two instructors with higher-support ratings and two with lower-support ratings were selected for analyses. Inductive qualitative coding identified five themes of instructor support: relational (perception of caring/approachability), instrumental (offering resources), pedagogical (quality of teaching), personality, and uncertain (not sure of support). Higher-support instructors had more positive relational themes and fewer negative pedagogical themes compared with lower-support instructors. These results can be used to enhance supportive classroom practices, which may be one mechanism to reduce student anxiety.

Mixed Analysis of the Flipped Classroom in the Concrete and Steel Structures Subject in the Context of COVID-19 Crisis Outbreak. A Pilot Study

A sudden lockdown was declared on 14 March 2020 due to COVID-19 crisis, leading to an immediate change from face-to-face to online learning in all universities within Spanish jurisdiction. At La Salle School of Architecture, the Concrete and Steel Structures subject started online classes immediately after the lockdown law was published, using a methodology based on the flipped classroom approach and adapting the monitoring of the student to the virtual environment. This article presents a pilot study to analyze the adaptation of the model to the online format using a mixed approach in which qualitative and quantitative surveys were conducted at the end of the course with 48 participants. Responses from both surveys were organized according to six categories (teachers, assessment, methods, class development, students and documents) and 14 subcategories, as developed in an undergoing research project involving the subject since the academic year 2017/2018. Thus, the open responses of the students have been analyzed alongside with the quantitative data. The results demonstrate a proper adaptation of the model, as well as the negative perception of the students of the online format due to the loss of face-to-face benefits of the flipped classroom.

Reinvigorating electrochemistry education

Electrochemistry is an established discipline with modern frontiers spanning energy conversion and storage, neuroscience, and organic synthesis. In spite of the expanding opportunities for academic and industrial electrochemists, particularly in the growing energy-storage sector, rigorous training of electrochemists is generally lacking at academic institutions in the United States. In this perspective, we highlight the core concepts of electrochemistry and discuss ways in which it has been historically taught. We identify challenges faced when teaching inherently interdisciplinary electrochemical concepts and discuss how technology provides new tools for teaching, such as inexpensive electronics and open-source software, to help address these challenges. Finally, we outline example programs and discuss how new tools and approaches can be brought together to prepare scientists and engineers for careers in electrochemical technology where they can accelerate the research, development, and deployment of the clean energy technology essential to combat climate change in the coming decades.

A Professional Development Framework for Higher Education Science Faculty that Improves Student Learning

A recent impetus for the transformation of undergraduate science instruction to improve student learning has prompted stakeholders to support professional development (PD) of higher education science faculty (instructors). In turn, stakeholders have created successful PD for instructors on the basis of research in K–12 teacher PD. However, there is no framework for PD of instructors that has been linked to student learning. The purpose of this literature review and theoretical work is to organize instructors’ PD research within a sequential framework for K–12 PD that has been linked to student learning, to examine limited evidence of student learning yielded from the PD of instructors, to determine whether and to what extent the entire sequence of the framework has been evaluated in PD for instructors, and to use a ubiquitous form of PD known as learning communities as a practical example for how to design, implement, and evaluate PD with the framework.

Environmental influences and individual characteristics that affect learner-centered teaching practices

Research-based teaching practices can improve student learning outcomes in a variety of complex educational environments. The implementation of learner-centered teaching practices in STEM can both benefit from or be constrained by different factors related to individual instructors and the teaching environment. Additionally, we know little of how the instructional climate varies across institutions and how this climate affects teaching practices. Our study sought to examine the relative importance of environmental influences and individual characteristics on learner-centered teaching practices across institutions. We also assessed differences in our study population and departmental climate for 35 US higher education institutions across the country. We found that self-efficacy in teaching and professional development exert a strong influence on faculty teaching practices in biology. While departmental climate did not emerge as a significant predictor of teaching practices, there was consistently low support for teaching, and institution size was negatively correlated with leadership and evaluation of effective teaching. We also found that intensive professional development programs, such as the Faculty Institutes for Reforming Science Teaching IV program, may prepare instructors to teach learner-centered courses in different collegial teaching climates. Our results suggest that through cultivating self-efficacy and participating in iterative professional development, instructors can implement effective teaching practices in a variety of institutional environments.

Implementing team-based learning in the life sciences: A case study in an online introductory level evolution and biodiversity course

Team-Based Learning (TBL) is a pedagogical tool that has great potential to develop student engagement, accountability, and equity in the online classroom. TBL is rooted in evidence-based educational theories and practices that underlie many active learning approaches such as self-testing, team discussion, and application of knowledge. The use of these approaches is associated with better student performance, retention, and sense of belonging in the classroom, aspects that are often reported to be especially lacking in online courses. Here, we describe how we implemented TBL in a face-to-face and an online introductory level evolution and biodiversity course. We implemented TBL in the face-to-face course (~200 students) starting in 2018 and in the online course (~30 students) starting in the summer of 2019. We used several online applications to facilitate the transition to an online platform such as Simbio, Slack, VoiceThread, Articulate 360, and Teammates. Our experiences using TBL approaches in the online course have been rewarding, and students are engaged and accountable for their learning and performed well in the course. Our goal is to provide an example of how we designed a life science course using TBL approaches and transitioned the course to an online environment. With the current switch to remote instruction and online learning, we recommend the use of TBL as a course design approach that can improve the students' online learning experience.

Why students do not turn on their video cameras during online classes and an equitable and inclusive plan to encourage them to do so

Enrollment in courses taught remotely in higher education has been on the rise, with a recent surge in response to a global pandemic. While adapting this form of teaching, instructors familiar with traditional face-to-face methods are now met with a new set of challenges, including students not turning on their cameras during synchronous class meetings held via videoconferencing. After transitioning to emergency remote instruction in response to the COVID-19 pandemic, our introductory biology course shifted all in-person laboratory sections into synchronous class meetings held via the Zoom videoconferencing program. Out of consideration for students, we established a policy that video camera use during class was optional, but encouraged. However, by the end of the semester, several of our instructors and students reported lower than desired camera use that diminished the educational experience. We surveyed students to better understand why they did not turn on their cameras. We confirmed several predicted reasons including the most frequently reported: being concerned about personal appearance. Other reasons included being concerned about other people and the physical location being seen in the background and having a weak internet connection, all of which our exploratory analyses suggest may disproportionately influence underrepresented minorities. Additionally, some students revealed to us that social norms also play a role in camera use. This information was used to develop strategies to encourage-without requiring-camera use while promoting equity and inclusion. Broadly, these strategies are to not require camera use, explicitly encourage usage while establishing norms, address potential distractions, engage students with active learning, and understand your students' challenges through surveys. While the demographics and needs of students vary by course and institution, our recommendations will likely be directly helpful to many instructors and also serve as a model for gathering data to develop strategies more tailored for other student populations.

Effects of Remote Teaching in a Crisis on Equity Gaps and the Constructivist Learning an Environment in an Introductory Biology Course Series

Because of the COVID-19 pandemic in March 2020, higher education institutions had to pivot rapidly to online remote learning. Many educators were concerned that the disparate impact of this crisis would exacerbate inequities in learning outcomes and student learning experiences, especially for students from minoritized backgrounds. We examined course grades and student perceptions of their learning experiences in fall (face-to-face) and spring (fully remote) quarters in an introductory biology course series at a public research university. Contrary to our hypothesis, we found that student course grades increased overall during remote learning, and equity gaps in course grades were mitigated for minoritized students. We hypothesize that instructors may have changed their grading practices to compensate for challenges in remote learning in crisis. However, spring students reported significant decreases in the amount of peer negotiation and social support, critical components of active learning. These findings suggest that remote teaching in crisis may have negatively affected student learning environments in ways that may not have been captured by grading practices.

Implementing an Undergraduate Learning Assistant Program Tailored for Remote Instruction

The inclusion of undergraduate learning assistants (LAs) on the teaching team of a course is a high-impact practice that benefits the teaching team, students, and LAs themselves. LAs are undergraduate students who have taken the course previously and support student learning through facilitated discussion and problem-solving. Unfortunately, in the quick pivot to emergency remote instruction and lacking an online model for LA programs, some instructors temporarily discontinued or scaled down their LA programs. This report describes the recruitment, training, and roles of LAs who were engaged to support a high-enrollment, interactive lecture course delivered by emergency remote instruction. This case study can serve as a model to inform the implementation of a robust online LA program.

Leveraging Virtual Experiences for International Professional Development Opportunities during the Pandemic and Beyond

The COVID-19 pandemic has affected all spheres of life, including the world of education. Within no time, once-bustling university classrooms were compelled to move online, leaving educators to rely on virtual engagement tools. This in turn heightened the impact of virtual professional development in higher education, not just nationally but also internationally. As we look toward finding means to engage students in effective classroom instruction, there remain parts of the globe that are making this transition to online instruction without cutting-edge technologies. This article highlights the importance of engaging educators in virtual professional development activities as part of international outreach and details one author's experience using the Avida-ED platform for a novel international teaching partnership. Traditionally, international outreach activities have been pursued through distinct platforms, like Fulbright programs, sabbaticals, and other international collaborations. The ongoing pandemic presents a unique opportunity to propagate professional development activities on a virtual platform by emphasizing scientific teaching practices as they relate to the STEM fields. If undertaken, these endeavors ultimately benefit educators across the globe by not only equipping them with various pedagogical tools and resources for their online instruction but also by establishing international partnerships and collaborations.

Active learning-based STEM education for in-person and online learning

The COVID-19 global pandemic has forced the higher education sector to transition to an uncharted remote-learning format. This offers an opportunity to adopt active learning, which increases students’ performance compared to lectures, narrows achievement gaps for underrepresented students, and promotes equity and inclusivity, as the basis of STEM education.

A Cocurricular Program That Encourages Specific Study Skills and Habits Improves Academic Performance and Retention of First-Year Undergraduates in Introductory Biology

Students must master content for success in science, technology, engineering, and mathematics (STEM), but "how to" is rarely taught in college. Faculty are reluctant to sacrifice class time, believe such instruction is remedial, or assume students possess or will attain these skills independently. To determine whether explicit instruction would improve skills and performance by first-year undergraduates likely to major in STEM, we invited all students in an introductory biology course to participate in an 8-week Co-Curricular (CoC) program. Students who participated improved time management, used more methods to plan and organize their study, and used a variety of active-learning strategies. A validated model was used to predict students' probability of achieving a "C+" or better in the course. The model, based on 5 years of data, used students' demographic characteristics and previous academic performance to provide a measure of their preparedness. Students with low and medium preparedness who participated in CoC performed better than those who did not participate. All students who participated were retained in the course compared with 88.7% of students who did not participate. Specific behavioral changes at the start of STEM gateway courses can dramatically improve student metacognition, retention, and academic performance, particularly for students underrepresented in the discipline.

A low-cost computational approach to analyze spiking activity in cockroach sensory neurons

Undergraduates use a spike sorting routine developed in Octave to analyze the spiking activity generated from mechanical stimulation of spines of cockroach legs with the inexpensive SpikerBox amplifier and the free software Audacity. Students learn the procedures involved in handling the cockroaches and recording extracellular action potentials (spikes) with the SpikerBox apparatus as well as the importance of spike sorting for analysis in neuroscience. The spike sorting process requires students to choose the spike threshold and spike selection criteria and interact with the clustering process that forms the groups of similar spikes. Once the spike groups are identified, interspike intervals and neuron firing frequencies can be calculated and analyzed. A classic neurophysiology lab exercise is thus adapted to be interdisciplinary for underrepresented students in a small rural college.

Comparison of Cluster Analysis Methodologies for Characterization of Classroom Observation Protocol for Undergraduate STEM (COPUS) Data

The Classroom Observation Protocol for Undergraduate STEM (COPUS) provides descriptive feedback to instructors by capturing student and instructor behaviors occurring in the classroom. Due to the increasing prevalence of COPUS data collection, it is important to recognize how researchers determine whether groups of courses or instructors have unique classroom characteristics. One approach uses cluster analysis, highlighted by a recently developed tool, the COPUS Analyzer, that enables the characterization of COPUS data into one of seven clusters representing three groups of instructional styles (didactic, interactive, and student centered). Here, we examine a novel 250 course data set and present evidence that a predictive cluster analysis tool may not be appropriate for analyzing COPUS data. We perform a de novo cluster analysis and compare results with the COPUS Analyzer output and identify several contrasting outcomes regarding course characterizations. Additionally, we present two ensemble clustering algorithms: 1) k-means and 2) partitioning around medoids. Both ensemble algorithms categorize our classroom observation data into one of two clusters: traditional lecture or active learning. Finally, we discuss implications of these findings for education research studies that leverage COPUS data.