The conference chairs will open day 3, share announcements, and then allow the doctoral consortium (DC) participants to give 1-minute verbal introductions to their work, enticing you to attend their poster session later in the day.

DC participants will speak in this order:

• Targeted Guidance for Beginner Software Engineering Students to Learn Data Structures and Algorithms in Java. Chathura Priyankara (Victoria University of Wellington)
• Learning Computer Programming around a CAFÉ. Simon Liénardy (University of Liège)
• Structural Barriers to Computer Science Education in NZ High Schools. Chamindi Samarasekara (University of Otago)
• Diagramming as a Strategy for Primary/Elementary-Age Program Comprehension. Jean Salac (University of Chicago)
• Data science education: Curriculum and pedagogy. Koby Mike (Technion)
• Understanding Students’ Computational Perspectives and Figured Worlds of Computing. Melissa Perez (University of Michigan)
• Investigating Best Practices in the Design of Automated Feedback to Improve Students’ Performance and Learning. Samiha Marwan (North Carolina State University)
• Pedagogical and Curricular Practices for Computer Science Education with English Language Learners. Meghan Allen (The University of British Columbia)
• Understanding Students’ Learning through User Role and Linguistic Expressions in Online Learning Environment. Lavendini Sivaneasharajah (The University of Adelaide)
• Glass-boxing Computing: Notional Machines-Mediated Teaching and Learning with Electronic Textiles in an Introductory High School Classroom. Gayithri Jayathirtha (University of Pennsylvania)
• Toward Ability-Based Design for Novice Programmers with Learning (Dis)abilities. Carl C. Haynes (University of Michigan School of Information)
• A metrics-based model for programming skill. Oluwatoyin Adelakun (University of Ibadan)
• Investigating Spatial Skills in Computing Education. Jack Parkinson (University of Glasgow)
• Investigating the utility of graphics in teaching data wrangling. Lovisa Sundin (University of Glasgow)
• Restorying through Computational Quilts: A Critical Approach Towards Reimagining Computer Science. Mia Shaw (University of Pennsylvania)
• Investigating the Benefits of Student Question Generation in Data Science MOOC Assessments. Anjali Singh (University of Michigan School of Information)
• Purpose-first programming: a programming learning approach for learners who care most about what code achieves. Kathryn Cunningham (Georgia Institute of Technology)
• The Integration of Coding in Teacher Education Programs: Course Experiences and the Teaching and Learning of Mathematics. Lisa Anne Floyd (Western University)