OOS 32 - Ecology and Cyberlearning: Inherent Paradox or Rich with Potential?

Thursday, August 11, 2016: 1:30 PM-5:00 PM
Grand Floridian Blrm D, Ft Lauderdale Convention Center
Organizer:
Meghan Collins
Co-organizers:
Luanna Prevost , Amy M. Kamarainen and Rebecca Jordan
Moderator:
Amanda E. Sorensen
With rapid growth in cyberlearning technologies, what potential do these tools have for ecology education? How do we use technology to enhance learning without replacing experiences in the real world? These questions – and possible tensions – will be explored in this organized oral session. This topic is of interest to a wide audience because these questions touch not only how we learn and the way we teach, but how we train our future ecologists in new research methods related to these technologies. The aim of this session is to explore how cyberlearning and virtual learning technologies can complement ecology education. In doing so, we acknowledge that this is a very diverse set of tools that fall along a spectrum from online classes, to digital technologies used in the field, to game-based learning, to virtual labs, and more. Speakers in this session straddle research and practice, advancing the field of cyberlearning for wise use in ecology. These emerging technologies may need to be accompanied by new evaluation methods, and presentations will bring both case study and evidence-based approaches that respond to the call for justification of new learning tools through new evaluation and assessment approaches. This issue is important for the field of ecology education because of the potential offered to broaden and deepen the reach of ecology education. Technologies have the potential to foster student engagement, reduce cognitive load, and enhance computational thinking. Students can visualize ecological phenomena, and models can help students work across and experience scales of time and space that they would not otherwise be able to observe in the course of a lab or a semester. Where connectivity allows, cyberlearning also ‘democratizes’ and broadens access to ecology education for underserved students, resource-strapped institutions, or populations with disabilities. Enabling students to work with real-time data in labs is a powerful tool for training future ecologists. This Organized Oral Session will be a valuable contribution to the dialog at the 101st Ecological Society of America meeting as we continually advance fields of teaching and research while addressing the needs of 21st century ecology students using 21st century technology.
1:30 PM
Virtual versus real nature: Integrating technology with ecology education
Margaret D. Lowman, California Academy of Sciences; Scott Loarie, California Academy of Sciences; Ken-ichi Ueda, California Academy of Sciences
2:10 PM
2:50 PM
Experimenting with constraint: Using technology to recognize mistakes and provide feedback as students practice designing ecological experiments
Eli Meir, SimBio; Denise Pope, SimBio; Susan Maruca, SimBio; Kerry Kim, SimBio; Jennifer Palacio, SimBio; Jenna Conversano, SimBio; Jody Clarke Midura, Utah State University
3:10 PM
3:20 PM
Integrating augmented reality and mobile technology with outdoor ecology learning
Amy M. Kamarainen, Harvard Graduate School of Education; Shari Metcalf, Harvard Graduate School of Education; Tina Grotzer, Harvard Graduate School of Education; Chris Dede, Harvard Graduate School of Education
3:40 PM
Conceptual modeling and external representations: Lessons from ecological examples
Rebecca Jordan, Rutgers University; Amanda E Sorensen, Rutgers University; Steven Gray, Michigan State University; Cindy Hmelo-Silver, Indiana University; Greg Newman, Colorado State University; Alycia Crall, NEON
4:00 PM
Using web-based gaming to improve engagement and enhance assessment in ecology
Luanna Prevost, University of South Florida; Margaurete Romero, University of South Florida; Paul E. Thurman, University of South Florida; Lucille Moon-Michel, University of South Florida; Yiping Lou, University of South Florida
4:20 PM
4:40 PM Cancelled
OOS 32-10