Date:
- Feb 22, 2019 from 2:00 - 3:15 PM EST | 11:00 AM - 12:15 PM PDT
Location:
Attendees:
- Coline Dony, American Association of Geographers
- Sergio Rey, University of California, Riverside
- Laura Tateosian, North Carolina State University
- Atsushi Nara, San Diego State University
- Eric Delmelle, University of North Carolina at Charlotte
- Giuseppe Amatulli, Yale University
- Diana Sinton, University Consortium for Geographic Information Science
Resources to check prior to meeting:
- Test the following survey: goo.gl/forms/MzTITajS0DaihPsF2
- Wing, J. (2014). Computational thinking benefits society. 40th Anniversary Blog of Social Issues in Computing, 2014. Retrieved from: http://socialissues.cs.toronto.edu/index.html%3Fp=279.html
- Bowlick, F. J., Goldberg, D. W., & Bednarz, S. W. (2017). Computer Science and programming courses in Geography Departments in the United States. The Professional Geographer, 69(1), 138-150.
- Definition: Computational Thinking is the thought processes involved in formulating a problem and expressing its solution(s) in such a way that a computer can effectively carry out. (Wing, 2014)
- Keywords that would be found in course titles that involve computational thinking
- CT Practices: Algorithm, Automation, Decomposition, Workflow, Optimization, Coding, Scripting, programming
- Languages (~ Geography): Python, JavaScript, R, NetLogo, Matlab
- Other (~ Geography): Computational, Complexity, Agent-based modelling, Web mapping
Agenda:
- 5 min. - Summary of last meeting and survey
- 10 min. - EG-RCN Recap of Objectives
- 40 min. - Research Instruments, and Timeline
- Research instrument on capacity for CT in Geography: goo.gl/forms/MzTITajS0DaihPsF2
- Discussion
- Research instrument on diversity in courses involving CT
- Discussion
- 10 min. - Go through schedule of activities and discuss Second Meeting
- 5 min. - Wrap-up