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ICER 2020
Sat 8 - Thu 13 August 2020

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)

Wed 12 Aug

Displayed time zone: Pacific Time (US & Canada) change

13:30 - 14:00
Day 3 Welcome + Doctoral Consortium Lightning TalksDoctoral Consortium at Zoom Webinar
Chair(s): Katrina Falkner The University of Adelaide, Lauren Margulieux Georgia State University
13:30
30m
Day opening
Day 3 Welcome + Doctoral Consortium Lightning Talks
Doctoral Consortium
C: Katrina Falkner The University of Adelaide, C: Lauren Margulieux Georgia State University, Chathura Priyankara Victoria University of Wellington, Simon Liénardy University of Liège, Chamindi Samarasekara University of Otago, Jean Salac University of Chicago, Koby Mike Technion, Melissa Perez University of Michigan, Samiha Marwan North Carolina State University, Meghan Allen University of British Columbia, Lavendini Sivaneasharajah The University of Adelaide, Gayithri Jayathirtha University of Pennsylvania, Carl C. Haynes University of Michigan School of Information, Oluwatoyin Adelakun University of Ibadan, Jack Parkinson University of Glasgow, Lovisa Sundin University of Glasgow, Mia Shaw University of Pennsylvania, Anjali Singh University of Michigan School of Information, Kathryn Cunningham Georgia Institute of Technology, Lisa Anne Floyd Western University