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Session Type: Paper Session
Exploring Learners' Data of Automated Feedback System in Online Programming Course: What Can Be Learned? - Hagit Gabbay, Tel Aviv University; Anat Cohen, Tel Aviv University
Measuring Computational Thinking Self-Efficacy: Validation for the Computational Thinking Self-Efficacy (CompTSE) Scale - Yuting Sun, University of Maryland - College Park; Diane Jass Ketelhut, University of Maryland - College Park; Jacqueline Leonard, MERAssociates, LLC; Will J. Jordan, Temple University
Measuring Teacher Self-Efficacy for Teaching Computational Thinking (CT): Development and Validation of the T-STEM CT - Danielle Cadieux Boulden, Code.org; Arif Rachmatullah, SRI International; Kevin M. Oliver, North Carolina State University; Eric N. Wiebe, North Carolina State University
Supporting Diverse Learners in Computational Thinking With TIPP&SEE - Jean Salac, University of Chicago; Cathy Newman Thomas, Texas State University; Chloe Butler, Texas State University; Diana Franklin, University of Chicago
The Current Landscape of Block-Based Programming Environments - Yuhan Lin, University of Maryland; David Weintrop, University of Maryland - College Park