<?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>Pair debugging of electronic textiles projects: Analyzing think-aloud protocols for high school students’ strategies and practices while problem solving.</dc:title><dc:creator>Jayathirtha, G.; Fields, D. A.; Kafai, Y. B.</dc:creator><dc:corporate_author/><dc:editor>Gresalfi, M.; Horn, I.</dc:editor><dc:description>Much attention has focused on student learning while making physical computational artifacts such as robots or electronic textiles, but little is known about how students engage with the hardware and software debugging issues that often arise. In order to better understand students’ debugging strategies and practices, we conducted and video-recorded eight think- aloud sessions (~45 minutes each) of high school student pairs debugging electronic textiles projects with researcher-designed programming and circuitry/crafting bugs. We analyzed each video to understand pairs’ debugging strategies and practices in navigating the multi- representational problem space. Our findings reveal the importance of employing system-level strategies while debugging physical computing systems, and of coordinating between various components of physical computing systems, for instance between the physical artifact, representations on paper, and the onscreen programming environment. We discuss the implications of our findings for future research and designing instruction and tools for learning with and debugging physical computing systems.</dc:description><dc:publisher/><dc:date>2020-01-01</dc:date><dc:nsf_par_id>10309411</dc:nsf_par_id><dc:journal_name>The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020</dc:journal_name><dc:journal_volume>2</dc:journal_volume><dc:journal_issue/><dc:page_range_or_elocation/><dc:issn/><dc:isbn/><dc:doi>https://doi.org/</dc:doi><dcq:identifierAwardId>1742140</dcq:identifierAwardId><dc:subject/><dc:version_number/><dc:location/><dc:rights/><dc:institution/><dc:sponsoring_org>National Science Foundation</dc:sponsoring_org></record></records></rdf:RDF>