Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Browse By Descriptor
Search Tips
Annual Meeting Housing and Travel
Personal Schedule
Sign In
X (Twitter)
Session Type: Structured Poster Session
Scholars argue that students should be exposed to computation across the curriculum. Wing (2006) noted that computational thinking (CT) “is a fundamental skill for everyone,” and explained CT is thinking recursively, parallel processing, and “interpreting code as data and data as code” (p. 33). But what does this look like in an elementary math class, high school science project, or undergraduate statistics assignment? This session brings together research exploring CT integration across curricular domains and stages of education. Employing a range of scales and methodologies, these posters provide a context for participants to consider: (1) What are developmental trajectories of CT across disciplines and ages?, and (2) Should CT be a unique goal or a practice infused in other disciplines?
1. Building Mathematics + Computational Thinking Trajectories From Existing Literature - Kathryn Rich, University of Chicago; Jelena Pokimica, University of Illinois at Urbana-Champaign; Quentin Wherfel; Carla Strickland, University of Chicago; Cheryl Moran, University of Chicago
2. From Classroom Lessons to Learning Trajectories: Mathematics + Computational Thinking - Maya Israel, University of Illinois at Urbana-Champaign; Quentin Wherfel; Jelena Pokimica, University of Illinois at Urbana-Champaign
3. Integrating Dynamic Mathematics to Advance Learning of Computing Concepts for Diverse Student Populations - Shuchi Grover, SRI International; Nicholas Jackiw, SRI International
4. Integrating Computational Thinking in High School Statistics Through Data Modeling With R - Michelle Hoda Wilkerson, University of California - Berkeley; Elise Deitrick, Tufts University; Eric Simoneau
5. Embedding Computational Thinking Practices Into Data Science Education - Eni Mustafaraj, Wellesley College
6. Self-Explanation to Support Students Programming Newtonian Trajectories in a Digital Game - Doug Clark, Vanderbilt University; Satyugjit Singh Virk, Teachers College, Columbia University; Jackie Barnes, Northeastern University; Deanne Marie Adams, University of Notre Dame
7. Computational Circuitry: High School Student Code Circuits in Electronic Textile Designs - Breanne K. Litts, Utah State University; Debora Lui, University of Pennsylvania; Justice Toshiba Walker, University of Pennsylvania; Sari Widman, University of Pennsylvania; Yasmin B. Kafai, University of Pennsylvania
8. Equitable Approaches: Computational Thinking Through Design - Nichole D. Pinkard, DePaul University; Sheena Erete, DePaul University; Caitlin Kennedy Martin, DePaul University - Digital Youth Network
9. Collaborative Interdisciplinary Computational Thinking - Bushra Chowdhury, Virginia Tech; Aditya Johri, George Mason University