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  1. Extreme mathematics teacher shortages demand the educational community to remain diligent in both increasing the number of trained mathematics teachers and retaining these teachers in the profession. A significant retention factor for preservice and in-service teachers is a deep sense of belonging. Dordt University in Sioux Center, Iowa, United States, has taken intentional steps to build a sense of community and belonging among mathematics teachers at both preservice and in-service levels. This paper outlines the nature of these activities and the positive effects they have on mathematics teachers’ sense of belonging and retention in the field, particularly those teachers funded by the National Science Foundation Noyce Teacher Scholarship Program 
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  2. Zbiek, Rosemary; Yao, Xiangquan; McCloskey, Andrea; Arbaugh, Fran (Ed.)
    For teachers to transform their classrooms in ways that help students feel more valued and capable, teachers need to feel valued and capable themselves. An Affirming Learning Walk (ALW) is an observation protocol that aims to celebrate teachers’ assets. Unlike feedback often viewed by teachers as overly critical, ALWs offer an opportunity for teachers to be observed and given solely positive feedback. In this report, we share the findings of an analysis of 51 responses to a survey inquiring about teachers’ perspectives with the ALW protocol. In addition to offering teachers a welcomed shift from more critical forms of observation, we saw evidence of ALWs fostering a positive transformational culture among the participants. 
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  3. Abstract We present the most comprehensive, integrated, butterfly monitoring dataset ever assembled for the United States. It contains over 1.2 million count records, from 65,000 surveys, representing over 12.6 million individual butterflies. To compile this dataset, we integrated data and harmonized taxonomy across 19 butterfly monitoring programs in the United States – one national, 13 statewide, and 5 local (e.g. individual county or National Park) in scale. In addition to the data, we also provide the taxonomic dictionary used to crosswalk butterfly taxonomy across programs, and the code used to assemble the integrated dataset. The publication of this dataset will inspire new analyses of butterfly population trends and drivers that help to identify solutions to the biodiversity crisis. 
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