<?xml version="1.0" encoding="UTF-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcq="http://purl.org/dc/terms/"><records count="1" morepages="false" start="1" end="1"><record rownumber="1"><dc:product_type>Conference Paper</dc:product_type><dc:title>Evolution and Impact of Instructional Coaching for Exploring Computer Science Teachers in a Large Urban District</dc:title><dc:creator>Wachen, John; McGee, Steven; Yanek, Don; Curry, Valerie</dc:creator><dc:corporate_author/><dc:editor/><dc:description>As states and districts adopt policies and programs to broaden participation in computer science, there is a growing need to effectively develop and support more computer science teachers. Instructional coaching is a form of professional development that districts can implement to provide ongoing support to teachers. In Chicago, a recent policy change made computer science a high school graduation requirement. The district adopted the Exploring Computer Science (ECS) curriculum and professional development program as the primary means for fulfilling the requirement. As part of the district’s effort to consistently offer equitable computer science experiences for all students, an emphasis was placed on supporting ECS teachers through coaching. Over the past five years, the district developed, implemented, and refined an instructional coaching model for ECS teachers. The coaching model continues to scale up across the district, with over 50 teachers participating in the 2019-2020 school year. The coaching team also adapted the model in response to the shift to remote learning during the COVID-19 pandemic. In this paper, the authors share details of the ECS coaching model in Chicago, its impact, and lessons learned from the past five years of implementation.</dc:description><dc:publisher>IEEE</dc:publisher><dc:date>2022-05-23</dc:date><dc:nsf_par_id>10492129</dc:nsf_par_id><dc:journal_name>RESPECT 2022 proceedings</dc:journal_name><dc:journal_volume/><dc:journal_issue/><dc:page_range_or_elocation>85 to 89</dc:page_range_or_elocation><dc:issn/><dc:isbn>978-1-6654-7114-5</dc:isbn><dc:doi>https://doi.org/10.1109/RESPECT55273.2022.00023</dc:doi><dcq:identifierAwardId>2034150</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location>Baltimore, MD, USA</dc:location><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>