ICLS Long Paper

ICLS Long Paper Session | iL-1_CS-ED | Computer Science Education

Thu Jun 18, 2:30 PM–4:00 PM · ALP 3610

Four papers on how programming environments and AI are reshaping computer science education. Topics include balancing usability and expressiveness in block-based modeling, Parsons puzzles paired with self-explanation, teachers' shifting conceptions of AI/ML and algorithmic justice, and norms around when copying code is acceptable.

4 talks in this session

#794: Opening Black Boxes: Unpacking Blocks to Balance Usability and Expressiveness in Computational Modeling

Adelmo Eloy, Aditi Wagh, Tamar Fuhrmann, Roseli de Deus Lopes, Paulo Blikstein

Inquiry-Based Learning & Productive Failure STEM Education Computational Thinking & CS Education

#48: Enhance Code Understanding through Prompted Self-Explanation with Mixed-Up Code Puzzles: Novice Preferences and Outcomes

Xinying Hou, Evie Katmanivong, Xu Wang, Barbara J. Ericson

AI in Education Assessment, Feedback & Formative Practices Computational Thinking & CS Education

#303: “You Can Actually Do Something”: Shifts in High School Computer Science Teachers’ Conceptions of AI/ML Systems and Algorithmic Justice

Daniel J. Noh, Deborah A. Fields, Yasmin B. Kafai, Danaé Metaxa

AI & Data Literacy Co-Design & Participatory Design Equity, Justice & Inclusion

#176: Innovation, Iteration, and the Interaction Order: When Is It Okay to Copy Code?

Deborah Silvis, Ana Ashineh, Jody Clarke-Midura, Jessica Shumway

Discourse Analysis & Video-Based Methods Sociocultural & Activity-Theory Frameworks Mathematics Education