Salient syllabi: Examining design characteristics of science online courses in higher education.

The importance of online learning in higher education settings is growing, not only in wake of the Covid-19 pandemic. Therefore, metrics to evaluate and increase the quality of online instruction are crucial for improving student learning. Whereas instructional quality is traditionally evaluated with course observations or student evaluations, course syllabi offer a novel approach to predict course quality even prior to the first day of classes. This study develops an online course design characteristics rubric for science course syllabi. Utilizing content analysis, inductive coding, and deductive coding, we established four broad high-quality course design categories: course organization, course objectives and alignment, interpersonal interactions, and technology. Additionally, this study exploratively applied the rubric on 11 online course syllabi (N = 635 students) and found that these design categories explained variation in student performance.

STEM learning communities promote friendships but risk academic segmentation.

Universities are increasingly using learning communities (LCs) to promote the academic and social integration of entering students, especially within STEM majors. Examining the causal effect of LCs on student networks is necessary to understand the nature and scope of their impact. This study combines a regression discontinuity design with social network analysis to estimate the effect of a simple LC design on the size, strength, structure, and composition of friendship networks among students within the same biological sciences freshman cohort. Results of the quasi-experimental analysis indicate that LC participants acquired one additional friend in the major and increased their share of friends in the LC by 54 percentage-points. Exponential random-graph models that test mediation and alternative friendship mechanisms provide support for the theoretical argument that the LC promoted friendship development by structuring opportunities for interaction through block-registration into courses. Thus, this study shows that even simple LCs can shape the development of friendships through relatively low-cost administrative means. The increased access to resources and support facilitated by the LC is likely beneficial for participating students. However, there is a potential downside when eligibility for participation is determined using academic metrics that separate the student population into distinct classroom environments.

Appealing to Faculty Gatekeepers: Motivational Processes for Intentions to Adopt an Evidence-B ased Intervention.

What motivates faculty teaching gateway courses to consider adopting an evidence-based classroom intervention? In this nationally representative study of biology faculty members in the United States (N = 422), we used expectancy-value-cost theory to understand three convergent motivational processes the faculty members' underlying intentions to adopt an exemplar evidence-based classroom intervention: the utility value intervention (UVI). Although the faculty members perceived the intervention as valuable, self-reported intentions to implement it were degraded by concerns about costs and lower expectancies for successful implementation. Structural equation modeling revealed that the faculty members reporting lower intentions to adopt it tended to be White and to identify as male and had many years of teaching or were from a more research-focused university. These personal, departmental, and institutional factors mapped onto value, expectancies, and cost perceptions uniquely, showing that each process was a necessary but insufficient way to inspire intentions to adopt the UVI. Our findings suggest multifaceted, context-responsive appeals to support faculty member motivation to scale up adoption of evidence-based classroom interventions.

Components of engagement in saying-is-believing exercises.

The saying-is-believing effect is an important step for changing students' attitudes and beliefs in a wise intervention. However, most studies have not closely examined the process of the saying-is-believing effect when individuals are engaged in the activity. Using a qualitative approach, the present study uses an engagement framework to investigate (a) components of engagement in the saying-is-believing effect; and (b) how differently students may engage in a saying-is-believing exercise. Semi-structured interviews were conducted with 14 undergraduates in a scholarship program for low-income transfer students from community college. Analysis using inductive and deductive approaches found that students varied on the extent to which they experienced the effectiveness of the saying-is-believing effect through affective, cognitive, and behavioral experiences. The study offers examples of how people can indeed differ in the extent to which they experience the saying-is-believing effect, and the implications for designing more effective interventions. Specifically, students' positive affective experiences from seeing the larger goal of creating videos may be important components for the saying-is-believing effect to work. Behavioral experiences, such as learning soft skills, academic skills learned indirectly from the intervention, and academic skills learned directly from the intervention were accompanied by both positive affective and cognitive experiences. Findings show the importance of students' differential engagement in saying-is-believing exercises both for building more effective wise interventions and interpreting heterogeneity in intervention effectiveness.

The motivational system of task values and anticipated emotions in daily academic behavior.

This study integrates theories of achievement motivation and emotion to investigate daily academic behavior in an undergraduate online course. Using cluster analysis and hierarchical logistic regression, we analyze profiles of task values and anticipated emotions to understand expectations and completion of academic tasks over the duration of a week. Students' task specific interest, opportunity cost, and anticipated satisfaction and regret varied across tasks and were predictive of both their expectations of task completion and actual task completion reported the following day. The results shed light on the important role of achievement motivation as situated and dynamic, highlighting the interplay between task priorities, task values, and anticipated emotions in academic task engagement.

Diversity fatigue: A survey for measuring attitudes towards diversity enhancing efforts in academia.

OBJECTIVES: Academia is grappling with how to address persistent underrepresentation and reduce inequities. With so many diversity-enhancing initiatives underway, some within the academic community might experience "diversity fatigue," a construct we use to understand majority groups' feelings of weariness toward diversity efforts. METHOD: For our testing purposes, we focused on ethnic and minority underrepresentation, and collected data in four studies from 473 White American students and faculty. Using exploratory and confirmatory factor analysis and latent profile analysis, we develop and confirm the single factor structure of the final 6-item Diversity Fatigue scale. We measured associations with other established measures and examined the strength of the association between diversity fatigue and faculty's support for a diversity-enhancing intervention. RESULTS: Results demonstrated scale reliability, convergent validity with system-justifying beliefs, and offer suggestive evidence of discriminant validity with inclusion concerns and implicit race-based associations. Although mean levels of diversity fatigue were low overall, diversity fatigue scores were related to concerns about the effort involved with diversity work and were significantly associated with faculty's motivation to adopt a diversity-enhancing classroom activity. CONCLUSIONS: Diversity fatigue in academia is a dampening in people's response to or enthusiasm for efforts that improve the experience of underrepresented people. This state experience is connected to system-justifying beliefs and is related to concerns about the effort required to do diversity interventions. Understanding and measuring this construct has implications for the psychology of intergroup relations, as well as practical implications for campus communities committed to diversity programs. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Improving Academic Performance, Belonging, and Retention through Increasing Structure of an Introductory Biology Course.

Integration of active-learning approaches into increased-structure postsecondary classrooms significantly improves student academic outcomes. We describe here two parallel sections of Introductory Biology that shared learning objectives and content but varied in course structure. The large-enrollment traditional course consisted of four 50-minute lectures coupled with minimal active-learning techniques, while an increased-structure intervention course integrated multiple active-learning approaches, had limited enrollment, and comprised three 50-minute lectures combined with a fourth peer-led team-learning discussion section. Additionally, the intervention course employed weekly review quizzes and multiple in-class formative assessments. The academic impact of these two course formats was evaluated by use of common exam questions, final grade, and student retention. We showed that academic achievement and retention of participants enrolled in the intervention course was significantly improved when compared with the traditional section. Further, we explored whether promoting in-class student-student/student-instructor interactions and peer-led discussion sections fostered a greater sense of belonging. At the end of the course, participants in the intervention course reported greater perceptions of classroom belonging. Therefore, this study begins to characterize the importance of combining pedagogical methods that promote both academic success and belonging to effectively improve retention in science, technology, engineering, and mathematics majors.

Success with EASE: Who benefits from a STEM learning community?

During the past few decades, there has been a nationwide push to improve performance and persistence outcomes for STEM undergraduates. As part of this effort, recent research has emphasized the need for focus on not only improving the delivery of course content, but also addressing the social-psychological needs of students. One promising intervention type that has been proposed as a multifaceted way to address both cognitive and social-psychological aspects of the learning process is the learning community. Learning communities provide students with opportunities to build a strong support system in college and are generally associated with increased student engagement and integration with campus systems and cultures. In this study, we examine the impact of a learning community intervention for first-year biological sciences majors, the Enhanced Academic Success Experience (EASE) program. Incoming freshmen are assigned to EASE based on their SAT (or ACT equivalent) Math score, a metric demonstrated to be a key predictor of student success in the program. We find that enrollment in EASE is correlated with higher STEM course grades; an increase of 0.25 (on a 0-4 point scale) in cumulative first-year GPA; and gains in non-academic outcomes, such as measures of sense of belonging and academic integration. Further, these outcomes are more pronounced for particular subgroup populations. For example, whereas surveyed male students seemed to benefit academically from participating in a learning community, female students reported a greater sense of belonging in regard to the biological sciences major and reported higher values for behavioral indicators of academic integration. Lastly, we find that the EASE program is positively correlated with students' intention to stay in the biological sciences major. And, among the three race-oriented groups, this impact is most pronounced for under-represented students. In light of these findings, we discuss the potential of discipline-specific learning community programs to improve academic outcomes for students most at risk of leaving STEM majors, such as students underprepared for college level coursework.