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Integrating Computing Education and Professional Development (Table 28)
Fri, April 12, 4:55 to 6:25pm, Pennsylvania Convention Center, Floor: Level 200, Exhibit Hall BSession Type: Roundtable Session
Abstract
This set of papers examines varied approaches to computer science education, from examining challenges in computational thinking integration across districts to combining mathematics with robotics. It also evaluates the influence of GIS-focused units on geospatial thinking and characterizes elementary students' insights into data science.
Sub Unit
Chair
Papers
Competing Priorities for Computational Thinking: Tensions Between Integration and Implementation Across Four School Districts - Quinn Burke, Digital Promise; Merijke Coenraad, Digital Promise Global; Alessandra Rangel, Digital Promise; Kelly Mills, Digital Promise Global
Integrating Computer Science and Mathematics for Enhanced Learning Using Object-Oriented Programming and Robotics: Mixed Methods - Hakeoung Hannah Lee, University of Virginia; Sylvia Celedon-Pattichis, University of Texas at Austin; Marios S. Pattichis, University of New Mexico; Carlos A. LopezLeiva, University of New Mexico; Esteban Cantu, University of Texas at Austin
Teacher Preparation and Student Participation in a GIS (Geographic Information Systems)-Focused Computer Science Unit: Impact on Students’ Geospatial Thinking - Lauren Christine Pagano Hush, Northwestern University; Jose J. Sotelo, Northwestern University; Randi L McGee-Tekula, The Learning Partnership; Steven McGee, The Learning Partnership; Bob Kolvoord, James Madison University; David H. Uttal, Northwestern University
Discovering Data Science: Elementary Students' Experiences and Perspectives - Ibrahim Oluwajoba Adisa, Stanford University; Dara Abimbade, Clemson University; Danielle C. Herro, Clemson University; Golnaz Arastoopour Irgens, Vanderbilt University