Grand Challenges: Building interdisciplinary communities to tackle complex global issues

BackgroundWith the increased attention on the need to retain students within STEM majors, it is important for STEM instructors to adopt evidence-based instructional practices that are student-centric and employ active learning techniques. However, traditional approaches for increasing student-centric, active learning practices such as workshops, seminars, and department or college mandates have been either inefficient or ineffective at motivating institutional change. This is particularly true for introductory STEM courses with large enrollments. One promising approach is to develop and support instructors in forming communities of practice around reforming introductory and foundational STEM courses. By engaging instructors within these communities of practice, and connecting the communities with each other, instructors may be more likely to experience an epistemological shift that will lead to adoption of active learning practices.To explore whether participating in a community of practice is related to the use of student-centered, active learning techniques, 25 undergraduate foundational STEM courses whose instructors were members of a community of practice were observed using the Classroom Observation Protocol for Undergraduate STEM Courses. The results were compared to a sample of 35 undergraduate foundational STEM courses whose instructors were not members of a community of practice.ResultsInstructors who were members of a community of practice were much more likely to employ student-centric practices, such as asking questions, following up, and engaging in discussion, and much less likely to use instructor-centered practices, such as lecturing. In addition, students in these classes were more likely to be actively engaged in problem-solving activities rather than passively listening. We found that student-centric, active learning practices correlated with students attending and actively participating in class, an effect that is stronger for courses taught by instructors who were members of a community of practice.ConclusionCommunities of practice are a potentially effective mechanism for enhancing student learning and retention by increasing the use of active learning practices by STEM instructors. These communities are particularly effective when they consist of small, disciplinary teams working on the same course(s) and are linked with other individuals or groups that use evidence-based instructional practices.

Office hours are a part of nearly all science, technology, engineering, and mathematics (STEM) courses, with many academic and affective benefits for students who attend. However, despite their ubiquity, there has only been limited past work examining the sources of knowledge students draw from to shape their perceptions of office hours, as well as the factors that influence students' experiences in STEM course office hours. Here, we conducted semistructured interviews with 20 students enrolled in an introductory STEM course to investigate what motivates students to attend STEM course office hours, the factors that shape their experiences in office hours, and what influenced their conceptions of office hours. We situate our work using expectancy value theory and racialized opportunity cost, identifying that students' experiences with office hours in high school and how an instructor describes office hours in a class and on the syllabus influence students' expectancies and perceived value and costs for attending office hours. In addition, we find that most students are motivated by the need for help with course content, though some students report a higher perceived cost of attending office hours when they have lower self-efficacy in the course. We conclude by providing recommendations for instructors to encourage student engagement with office hours.

Over the most recent two decades, federal policy has urged high schools to embed applied science, technology, engineering, and mathematics (STEM) courses into the curriculum to reinforce concepts learned in traditional math and science classes as well as to motivate students’ interests and long-term pursuits in STEM areas. While prior research has examined whether these courses link to STEM persistence for the general student population, no work has examined the role of these courses for students with learning disabilities (LDs). This is a critical lapse, as these courses have been supported as being one path by which STEM material can become more accessible for students with diverse learning needs. Hence, this descriptive study examines the landscape of applied STEM course taking for students with LDs. The findings suggest students with LDs are less likely to take applied STEM courses in high school compared to the general population. Additionally, while the general population does benefit from taking these courses, there is a unique association between applied STEM course taking and advanced math and science course taking or math achievement for students with LDs. Hence, there is no evidence that applied STEM course taking is related to any closure of the STEM achievement gap for students with LDs.

Introductory courses offer several opportunities to inspire students to pursue a degree in STEM majors. Attracting and retaining students involves engagement and enjoyment at the individual, team, and class level. We explored the effects of these factors with a gamified approach to programming practice in an introductory computer science course. Gamification involves the use of game design elements in a non-game context to engage and motivate students. We present a novel learning game and the results of play-testing with 12 CS1 students. Students were surveyed prior to and after the gamified programming session. Positive feedback was obtained from the students and the educators observed high participation, interaction, and successful team programming efforts. We objectively report student satisfaction with the game, lessons learned by the educators, and suggest future work for stimulating students in introductory STEM courses.

BackgroundActive learning used in science, technology, engineering, and mathematics (STEM) courses has been shown to improve student outcomes. Nevertheless, traditional lecture-orientated approaches endure in these courses. The implementation of teaching practices is a result of many interrelated factors including disciplinary norms, classroom context, and beliefs about learning. Although factors influencing uptake of active learning are known, no study to date has had the statistical power to empirically test the relative association of these factors with active learning when considered collectively. Prior studies have been limited to a single or small number of evaluated factors; in addition, such studies did not capture the nested nature of institutional contexts. We present the results of a multi-institution, large-scale (N = 2382 instructors; N = 1405 departments; N = 749 institutions) survey-based study in the United States to evaluate 17 malleable factors (i.e., influenceable and changeable) that are associated with the amount of time an instructor spends lecturing, a proxy for implementation of active learning strategies, in introductory postsecondary chemistry, mathematics, and physics courses.ResultsRegression analyses, using multilevel modeling to account for the nested nature of the data, indicate several evaluated contextual factors, personal factors, and teacher thinking factors were significantly associated with percent of class time lecturing when controlling for other factors used in this study. Quantitative results corroborate prior research in indicating that large class sizes are associated with increased percent time lecturing. Other contextual factors (e.g., classroom setup for small group work) and personal contexts (e.g., participation in scholarship of teaching and learning activities) are associated with a decrease in percent time lecturing.ConclusionsGiven the malleable nature of the factors, we offer tangible implications for instructors and administrators to influence the adoption of more active learning strategies in introductory STEM courses.

BackgroundPeer-cooperative learning has been shown in the literature to improve student success in gateway science and mathematics courses. Such studies typically demonstrate the impact of students’ attending peer-led learning sessions on their learning or grades in an individual course. In this article, we examine the effects of introducing a required, comprehensive peer-cooperative learning system across five departments simultaneously at a master’s public university, looking not only at students’ success in supported classes, but also their retention within STEM fields two years hence. Combining institutional demographic data with students’ course grades and retention rates, we compare outcomes between 456 students who took their major’s introductory course in the two years prior to implementation of the program, and 552 students who did so after implementation.ResultsWhile these two student groups did not significantly differ in either their demographic profile or their SAT scores, the post-implementation group earned significantly higher grades in their introductory courses in each major, due largely to an erasure of the mediating effect of SAT scores on course grades. Further, this increase in introductory course grades was also associated with an increase in the two-year retention rate of students in STEM majors.ConclusionsThis finding is significant as it suggests that implementing comprehensive educational reform using required peer-led cooperative learning may have the proximate effect of mitigating differences in academic preparation (as measured by SAT scores) for students in introductory STEM courses. Furthermore, this increase in success leads to increased retention rates in STEM, expanding the pipeline of students retained in such fields.

BackgroundIt is well established in the literature that active learning instruction in introductory STEM courses results in many desired student outcomes. Yet, regular use of high-quality active learning is not the norm in many STEM departments. Using results of a national survey, we identified 16 departments where multiple instructors reported using high levels of active learning in their introductory chemistry, mathematics, or physics courses. We conducted interviews with 27 instructors in these 16 departments to better understand the characteristics of such departments.ResultsUsing grounded theory methodology, we developed a model that highlights relevant characteristics of departments with high use of active learning instruction in their introductory courses. According to this model, there are four main, interconnected characteristics of such departments: motivated people, knowledge about active learning, opportunities, and cultures and structures that support active learning. These departments have one or more people who are motivated to promote the use of active learning. These motivated people have knowledge about active learning as well as access to opportunities to promote the use of active learning. Finally, these departments have cultures and structures that support the use of active learning. In these departments, there is a positive feedback loop that works iteratively over time, where motivated people shape cultures/structures and these cultures/structures in turn increase the number and level of commitment of the motivated people. A second positive feedback loop was found between the positive outcome of using active learning instruction and the strengthening of cultures/structures supportive of active learning.ConclusionsAccording to the model, there are two main take-away messages for those interested in promoting the use of active learning. The first is that all four components of the model are important. A weak or missing component may limit the desired outcome. The second is that desired outcomes are obtained and strengthened over time through two positive feedback loops. Thus, there is a temporal aspect to change. In all of the departments that were part of our study, the changes took at minimum several years to enact. While our model was developed using only high-use of active learning departments and future work is needed to develop the model into a full change theory, our results do suggest that change efforts may be made more effective by increasing the robustness of the four components and the connections between them.

The number of undergraduates entering computer science has declined in recent years. This is paralleled by a drop in the number of high school students taking the CS AP exam and the number of high schools offering computer science courses. The declines come at a time when career opportunities in CS continue to grow and computer science graduates are seen as crucial in building a globally competitive workforce for the 21st century. Efforts aimed at reversing the declining interest in computer science include curriculum revisions at the undergraduate level at many institutions, a re-design of computer science AP courses [1], and the inclusion of computational thinking into disciplines outside computer science [3].This panel discusses four projects of computer science researchers collaborating with high school teachers on integrating computing and computational thinking into their courses. The majority of the high school teachers involved is teaching science and math courses. They are teaching a diverse group of talented and college-bound students. The goal of all projects is to integrate computing into disciplines represented in the high school curriculum and to raise the awareness of computer science as an exciting and intellectually rewarding field.This panel will outline recent and on-going activities and interaction with high school teachers. Each panelist will describe how he/she got involved and the nature of the interaction. The panelists will talk about their individual projects, outline their visions for future interactions, and how their effort can be replicated by others. The session will briefly describe NSF's RET program which provided teacher support for three of the four projects. The session will then be opened for discussion; the audience will be encouraged to ask questions and contribute additional ideas for the inclusion of computational thinking in high school courses.

The Response to Intervention (RTI) service delivery model has been used primarily in the secondary language arts (reading) academic content area and in the various math courses. RTI has rarely, if at all, been introduced in secondary science and social science courses, even though students are struggling in these courses due to the increase in reading and math content embedded within them. This chapter focuses on implementation of RTI in science and social studies courses at the secondary level. The utilization of a universal screener, tiers, progress monitoring, and fidelity is discussed, followed by a presentation of specific examples of research-based interventions that can be used at each tier level in the science and social sciences content areas.

Introductory level courses in many Science, Technology, Engineering, and Math (STEM) disciplines require students to acquire an enormous new discipline-specific vocabulary in preparation for future courses. Students are often not prepared for the amount of self-directed studying they must do to be successful in these types of courses, particularly in their first year of college. To assist students in more accurately gauging their readiness for an exam, online low-stakes quizzes were implemented in a freshman level course, giving students an opportunity to practice their new language with minimal grade-related consequences. This quizzing strategy provides students an opportunity to self-assess their current level of knowledge. The quizzes also provide feedback, helping students determine how to adjust their behavior to ensure that acquisition of the missing knowledge is successful. This paper presents preliminary results of the research effort and illustrates the effects of this low-stakes quizzing. Specifically, this paper evaluates (1) whether the quizzing helps students to better prepare for medium and high stakes exams; (2) whether the quizzing increases the mean exam scores compared to previous semesters with no quizzing; and (3) whether the quizzing must be required (low-stakes) to be effective, or whether it can be optional (no-stakes) and still benefit students.

The importance of online education and online learning has gained colossal importance during the present era. Despite online education being the savior during the current pandemic, its implementation was/has been quite puzzling. This article describes a novel approach to the execution of an E-STEM (online- Science, technology, engineering, mathematics) course for school students by integrating the near-peer mentoring approach. Wherein, the undergraduate (UG) students were the near-peer mentors, who had mentored/guided the school students (middle school & high school). Even though the E-STEM course was developed & presented by the STEM professionals, it was the near peer-mentors who were responsible for the constant motivation & assessment of the school students. The paper displays several roles of the UG mentors, predominantly aiding the students’ motivation and also their assessment via a triangulation assessment approach: with the UG mentors being responsible for the indirect and embedded assessment of the students. The STEM course was efficaciously conducted for 56 students of high school and middle school students, involving 16 undergraduate near-peer mentors. Various E-tools and student-feedback mechanisms were used to implement the E-STEM course in a student-centered manner. Thereby, to reveal the success of the model, the student’s feedback, pre-post questionnaires, and text message transcripts were investigated. The constructive roles of undergraduate mentors, in aiding the school students towards their active engagement, and STEM innovations, during E-learning, have been validated. A clear comparison had been made between the behavioral aspect of the high school students and middle school students with the UG mentor. Therefore, unlike many studies that had shown the success of the near-peer mentoring model, our article addresses the underlying process, that contributes to the success with a distinct comparison between the two (prior mentioned aspect).

Note from the EditorsToo often, biology has been considered by both students and faculty as the ideal major for the scientifically inclined but mathematically challenged, even though the advantage of quantitative approaches in biology has always been apparent.Increasingly, biologists are utilizing mathematical skills to create simulations or manage and query large data sets.The need for basic mathematical and computer science (CS) literacy among biologists has never been greater.But does this require a fundamental change in the organization of the undergraduate biology curriculum?What is the utility of math/CS in different areas of biology?How can we best provide math/CS instruction to biologists so that the utility is appreciated?Do all biology students require a stronger math/CS foundation, or only those interested in research careers?Given the speed at which technology changes, what is the best preparation?Three different points of view are offered below.Dr. Roger Brent, President and Director of the Molecular Sciences Institute, reflects on the "innumeracy" common among biologists and argues that significant insights into biological problems may be gained from better mathematical intuition.

Many science, engineering, technology, and math (STEM) majors fail to complete their degrees, and those who leave report they lack learning skills required for STEM coursework. In 2 studies, we examined the effects on students’ exam performances when they were assigned to complete a brief digital learning skills training program we embedded into their course site on the university learning management system for their large lecture science and math courses. Study 1 examined whether delivering brief trainings that teach learning skills to students directly within their STEM course site during the first weeks of class would encourage undergraduate science learners to adopt effective learning behaviors and improve their achievement on exams. Additional analyses examined benefits to a group underrepresented in the STEM workforce: first-generation college students. Students who spent time completing training made greater use of resources supporting planning, monitoring, and cognitive strategy use and outperformed students in the control group on initial and final exams. Study 2 examined whether the same, domain-general learning skill training could produce effects when placed in a college algebra course. Random assignment to treatment and control was conducted early in the second course unit. Those in the skill training condition outperformed a control group who solved additional algebra problems on the next 2 unit exams. Across studies, effects of training were similar for first-generation and continuing generation students. However, the effects obtained often improved the exam scores of first-generation students from below to above the minimum score which requires course reenrollment and delays STEM degree completion. (PsycInfo Database Record (c) 2021 APA, all rights reserved)

We present a study that explores the grade-point average (GPA) penalties that students face when taking introductory STEM courses. Previous work has found that there is a large and significant grade point penalty for women and minorities in most STEM classes (that is, these students perform worse in these classes than their overall GPA would suggest). We recreated this work using a new, large data set (63,012 students over 10 years) of student performance, and found that the initial results held when using the original approach. We argue that there are methodological shortcomings to the original approach, however, as there is no attempt to control for individual student program difficulty (STEM majors and non-STEM majors share some classes, but have very different overall suites of courses that determine their overall GPA). As the female/male and racial ratios vary across majors it is therefore likely that a division by gender is not comparing equivalent sample populations. By controlling for student test scores or major most of the penalty is removed. The initial findings of large GPA penalties in STEM courses appears to be an example of "Simpson's Paradox".

In this Work-in-Progress paper we examine students' situational motivation in introductory STEM courses through analysis of survey responses about students' experiences in a required course at each of two large public institutions. The students in each course convey different perceptions of course relevance: learning-performance relevance and temporal relevance. Learning-performance relevance, exclusive to Course A, refers to students' perceptions of course content and activities as relevant to their performance, which in turn serve as necessary prerequisites for achieving future academic and professional goals. Temporal relevance, described primarily by students in Course B, pertains to students' non-performance-based perceptions of course content as applicable to their long-term academic and professional careers, as well as their personal intellectual growth. We posit that understanding the ways in which students perceive the relevance of course assessments, content, and activities to their near- and long-term future aspirations may allow for improved instructor support of intrinsic motivational attitudes in STEM classrooms.