Division K - Teaching and Teacher Education / Division K - Section 08: Teacher Learning and Professional Development

Xiongyi Liu, Cleveland State University

A Situated Professional Development Approach to Build Teacher Efficacy for Computational Modeling - Danielle Cadieux Boulden, Code.org; Jennifer K. Houchins, North Carolina State University; Arif Rachmatullah, SRI International; Jessica Vandenberg, North Carolina State University; Bita Akram, North Carolina State University; Veronica Catete, North Carolina State University; Nick Lytle, University of Florida; Tiffany Barnes; Eric N. Wiebe, North Carolina State University

Persevere, but With What? How Professional Development Resources Support and Hinder Teachers' Sense-Making About Students' Mathematical Perseverance - Anna Weltman, University of California - Berkeley

Online Sharing Practices in a Computer Science Education Discussion Forum - Sukanya Kannan Moudgalya, Michigan State University

The Why, Who, and How of Teaching K–12 Computing? Examining Teacher Perspectives on Computational Thinking in K–12 Classrooms - Quinn Burke, Digital Promise; Jeremy Roschelle, Digital Promise Global; Cinamon Sunrise Bailey, Clemson University; Colin Angevine, Digital Promise; Josh Weisgrau, Digital Promise; Kelly Mills, Digital Promise Global

Leanne Ma, OISE/University of Toronto