Katrina Falkner, Lauren Margulieux, Chathura Priyankara, Simon Liénardy, Chamindi Samarasekara, Jean Salac, Koby Mike, Melissa Perez, Samiha Marwan, Meghan Allen, Lavendini Sivaneasharajah, Gayithri Jayathirtha, Carl Haynes-Magyar, Oluwatoyin Adelakun, Jack Parkinson, Lovisa Sundin, Mia Shaw, Anjali Singh, Kathryn Cunningham, Lisa Anne Floyd

Visit the “DC Poster” channels in Discord to meet our doctoral consortium participants and discuss their work! Click on the links to view students’ posters or poster presentations.

• A metrics-based model for programming skill. Oluwatoyin Adelakun (University of Ibadan)
• Pedagogical and Curricular Practices for Computer Science Education with English Language Learners. Meghan Allen (The University of British Columbia)
• 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)
• Toward Ability-Based Design for Novice Programmers with Learning (Dis)abilities. Carl C. Haynes (University of Michigan School of Information)
• Glass-boxing Computing: Notional Machines-Mediated Teaching and Learning with Electronic Textiles in an Introductory High School Classroom. Gayithri Jayathirtha (University of Pennsylvania)
• Learning Computer Programming around a CAFÉ. Simon Liénardy (University of Liège)
• Investigating Best Practices in the Design of Automated Feedback to Improve Students’ Performance and Learning. Samiha Marwan (North Carolina State University)
• Data science education: Curriculum and pedagogy. Koby Mike (Technion)
• Investigating Spatial Skills in Computing Education. Jack Parkinson (University of Glasgow)
• Understanding Students’ Computational Perspectives and Figured Worlds of Computing. Melissa Perez (University of Michigan)
• Targeted Guidance for Beginner Software Engineering Students to Learn Data Structures and Algorithms in Java. Chathura Priyankara (Victoria University of Wellington)
• Diagramming as a Strategy for Primary/Elementary-Age Program Comprehension. Jean Salac (University of Chicago)
• Structural Barriers to Computer Science Education in NZ High Schools. Chamindi Samarasekara (University of Otago)
• 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)
• Understanding Students’ Learning through User Role and Linguistic Expressions in Online Learning Environment. Lavendini Sivaneasharajah (The University of Adelaide)
• Investigating the utility of graphics in teaching data wrangling. Lovisa Sundin (University of Glasgow)