Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Annual Meeting Housing and Travel
Personal Schedule
Sign In
Session Type: Symposium
There is widespread consensus that computational modeling offers powerful ways to learn science. Integrating computational modeling into K-16 environments is an important goal. However, seamlessly integrating modeling tools and practices into their target environments is not a straightforward task. Difficulties associated with relating computational modeling with other scientific practices, and supporting teachers can present hurdles to meaningful integration. This symposium brings together research that bridges computational modeling with the existing structures, resources and practices of stakeholders in target learning environments. The four papers use diverse theoretical perspectives to examine themes related to: Bootstrapping student and teacher resources, examining links between the virtual world of a model and the physical world, and investigating how computational modeling can support other scientific practices.
Embodiment Within Computational Models: Explorations of Agency and Normativity - Joshua Adam Danish, Indiana University; Danielle Keifert, University of California - Los Angeles; Noel D. Enyedy, University of California - Los Angeles; Megan Alyse Humburg, Indiana University - Bloomington; Xintian Tu, Indiana University - Bloomington; Bria Davis; Christine Lee, University of California - Los Angeles
Grounding Computational Modeling Experiences in Fertile Soil: A Design Project With Middle School Science Teachers and Students - Rebecca L. Shareff, University of California - Berkeley; Michelle Hoda Wilkerson, University of California - Berkeley
The Importance of Developing Teachers' Social Capital to Enhance the Integration of Computational Modeling in the High School Science Classroom - Susan A. Yoon, University of Pennsylvania
Hybrid Labs: Integrating Computational Modeling With Physical Experiments in Undergraduate Biology Labs - Aditi Wagh, Tufts University; Julia Svoboda Gouvea, Tufts University