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Graduation rates are a key measure of the long-term efficacy of academic interventions. However, challenges to using traditional estimates of graduation rates for underrepresented students include inherently small sample sizes and high data requirements. Here, we show that a Markov model increases confidence and reduces biases in estimated graduation rates for underrepresented minority and first-generation students. We use a Learning Assistant program to demonstrate the Markov model’s strength for assessing program efficacy. We find that Learning Assistants in gateway science courses are associated with a 9% increase in the six-year graduation rate. These gains are larger for underrepresented minority (21%) and first-generation students (18%). Our results indicate that Learning Assistants can improve overall graduation rates and address inequalities in graduation rates for underrepresented students.

 

Abstract: We use the Adaptor-Innovator Theory and the Influence framework to interpret undergraduate physics laboratory students’ approaches to – and bids for – intellectual and directive authority. Students display behaviors that utilize structure and work within a defined system (adaptor) and, separately, behaviors that work outside the system (innovator), the latter often by engaging directly with equipment. Adaptors exhibit high authority by asserting experimental understanding, whereas innovators are attributed with high authority through their frequent, direct handling of the equipment. We interpret equitable collaborations as those in which students 1) have full access to the experimental or conversational floor adaptively or innovatively while being 2) acknowledged in their authority by their group. 

The use of the Physics GRE in graduate admissions has gained considerable attention in recent years. While studies have shown the problematic nature of the exam quantitatively, it is time that student experiences were also included in the discussion. In this qualitative study, we interviewed 69 current graduate physics and astronomy students about their process of deciding where to apply to graduate school. Physics GRE requirements played a substantial role in this decision, with 48 students mentioning the test as part of their process to narrow programs down to a personalized short-list. Participants discussed potential barriers (e.g., financial and travel) that affected some students, but not others, which created an unequal playing field for grad school applicants. Secondly, while the participants noticed a shift towards more departments having "optional'' GRE language, female student participants still felt the need to take and submit their Physics GRE scores, while male student participants truly saw "optional'' as optional. These results suggest that graduate programs requiring the Physics GRE are doing more than asking prospective graduate students to simply take a physics test, and that the use of 'optional' requirement language may be inadvertently disadvantaging the very students that they are trying to recruit. 

Faculty members involved in graduate admissions decisions have to determine who will be offered admissions to their respective graduate programs. In this study, we interviewed faculty at four institutions who currently serve or have served on their program's graduate admissions committee. The focus of this study was twofold: first, to explore what qualities faculty value in graduate students and second, to identify what sources of evidence faculty utilize in determining if a student possesses a desired quality. Results from these interviews showed that while qualities such as content knowledge and programming skills were valued, non-cognitive qualities such as self-motivation, resilience, and self-learning were also highly desired. The faculty noted that while current admissions practices can easily identify if a student has taken certain coursework, they typically lack the means to quickly assess non-cognitive qualities, which must often be inferred from the contents of personal statements and letters of recommendation. These results suggest that transparency on the part of graduate programs to better advertise the qualities they desire will assist letter writers and students writing personal statements to increase the impact of their application materials. 

Physics departments are increasingly working to improve diversity in graduate programs by using more holistic strategies in their admission and retention practices. However, completion rates for traditionally underserved groups are still problematic. By understanding and accounting for faculty and student divergence on challenges faced in retention, graduate programs will be better equipped to enact change. In this study of two graduate programs (one physics and the other astrophysics), faculty and graduate students were asked why graduate students leave their program, and to identify ways to reduce attrition. While the goal of improving retention was shared between faculty and graduate students, their visions for how retention could be improved were not aligned. Faculty believed that retention could be improved by reforming admissions practices to select for students with attributes critical for success in graduate school, such as resilience. In contrast, the graduate students noted more systemic or socio-cultural factors as impacting retention. 

Abstract Fire is an integral component of ecosystems globally and a tool that humans have harnessed for millennia. Altered fire regimes are a fundamental cause and consequence of global change, impacting people and the biophysical systems on which they depend. As part of the newly emerging Anthropocene, marked by human-caused climate change and radical changes to ecosystems, fire danger is increasing, and fires are having increasingly devastating impacts on human health, infrastructure, and ecosystem services. Increasing fire danger is a vexing problem that requires deep transdisciplinary, trans-sector, and inclusive partnerships to address. Here, we outline barriers and opportunities in the next generation of fire science and provide guidance for investment in future research. We synthesize insights needed to better address the long-standing challenges of innovation across disciplines to (i) promote coordinated research efforts; (ii) embrace different ways of knowing and knowledge generation; (iii) promote exploration of fundamental science; (iv) capitalize on the “firehose” of data for societal benefit; and (v) integrate human and natural systems into models across multiple scales. Fire science is thus at a critical transitional moment. We need to shift from observation and modeled representations of varying components of climate, people, vegetation, and fire to more integrative and predictive approaches that support pathways towards mitigating and adapting to our increasingly flammable world, including the utilization of fire for human safety and benefit. Only through overcoming institutional silos and accessing knowledge across diverse communities can we effectively undertake research that improves outcomes in our more fiery future.