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Editors contains: "Momsen, Jennifer"

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  1. Momsen, Jennifer (Ed.)
    The COVID-19 pandemic caused nearly all colleges and universities to transition in-person courses to an online format. In this study, we explored how the rapid transition to online instruction during the COVID-19 pandemic affected students with disabilities. We interviewed 66 science, technology, engineering, and math (STEM) undergraduates with disabilities at seven large-enrollment institutions during Spring 2020. We probed to what extent students were able to access their existing accommodations, to what extent the online environment required novel accommodations, and what factors prevented students from being properly accommodated in STEM courses. Using inductive coding, we identified that students were unable to access previously established accommodations, such as reduced-distraction testing and note-takers. We also found that the online learning environment presented novel challenges for students with disabilities that may have been lessened with the implementation of accommodations. Finally, we found that instructors making decisions about what accommodations were appropriate for students and disability resource centers neglecting to contact students after the transition to online instruction prevented students from receiving the accommodations that they required in STEM courses during the COVID-19 pandemic. This study illuminates current gaps in the support of students with disabilities and pinpoints ways to make online STEM learning environments more inclusive for students with disabilities. 
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  2. Momsen, Jennifer L (Ed.)
    Student impressions formed during the first day of class can impact course satisfaction and performance. Despite its potential importance, little is known about how instructors format the first day of class. Here, we report on observations of the first day of class in 23 introductory science, technology, engineering, and math (STEM) courses. We first described how introductory STEM instructors structure their class time by characterizing topics covered on the first day through inductive coding of class videos. We found that all instructors discussed policies and basic information. However, a cluster analysis revealed two groups of instructors who differed primarily in their level of STEM content coverage. We then coded the videos with the noncontent Instructor Talk framework, which organizes the statements instructors make unrelated to disciplinary content into several categories and subcategories. Instructors generally focused on building the instructor–student relationship and establishing classroom culture. Qualitative analysis indicated that instructors varied in the specificity of their noncontent statements and may have sent mixed messages by making negatively phrased statements with seemingly positive intentions. These results uncovered variation in instructor actions on the first day of class and can help instructors more effectively plan this day by providing messages that set students up for success. 
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