<\/figure><\/div>\n\n\n David Stokes, M.S.<\/strong> NC State University djstokes@ncsu.edu<\/p>\n\n\n\n
David is a doctoral student in the STEM Education – Statistics Education Ph.D program at NC State University. He received his undergraduate B.A. degree in Communications – Media Productions from UNC – Chapel Hill. He began his graduate studies at George Washington University where he obtained a master\u2019s degree in Special Education. He subsequently taught high school world history and mathematics in special education, co-teaching, and regular education settings for four years. David continued his educational pursuits in statistics, obtaining a master\u2019s degree in general statistics from West Virginia University, and a master\u2019s degree in statistics, with a biostatistics concentration, from NC State. His current research interests include characterizing learning environments in relation to STEM persistence and representation, in addition to interests in data analysis, data science, and statistics education.<\/p>\n","protected":false},"excerpt":{"rendered":"
Erin Krupa, Ph.D.NC State Universityeekrupa@ncsu.edu Erin Krupa is an assistant professor of mathematics education at the NC State College of Education. Her research focuses on improving the quality of mathematics teaching and learning through innovative curricular materials and professional development. The main goal of her research is to make quality mathematics education more equitable to all students,…<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":39,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"ncst_dynamicHeaderBlockName":"ncst\/default-header","ncst_dynamicHeaderData":"{\"pageIntro\":\"The purpose of this group is to bring together scholars with an interest in examining the research on quantitative tools and measures for gathering meaningful data. We aim to spark conversations and collaboration across individuals and groups with an interest in synthesizing the literature on large-scale tools used to measure student- and teacher-related outcomes.\"}","ncst_content_audit_freq":"","ncst_content_audit_date":"","footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-8","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/pages\/8","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/comments?post=8"}],"version-history":[{"count":24,"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/pages\/8\/revisions"}],"predecessor-version":[{"id":472,"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/pages\/8\/revisions\/472"}],"up":[{"embeddable":true,"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/pages\/39"}],"wp:attachment":[{"href":"https:\/\/sites.ced.ncsu.edu\/mathedmeasures\/wp-json\/wp\/v2\/media?parent=8"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}