Constructing Computer Models to Provide Accurate Visualizations and Authentic Online Laboratory Experiences in an Introductory Biochemistry Course
PROCEEDINGS
Diana Bajzek, James Burnette, Gordon Rule, Carnegie Mellon University, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Honolulu, Hawaii, USA ISBN 978-1-880094-60-0 Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA
Abstract
The goal of science courses is to aid the students in understanding the underlying physical laws that are responsible for observed phenomena. Meeting this goal is especially challenging in biology courses due to the complexity of the systems involved and the spatial and temporal nature of many biochemical processes. In the case of our introductory biochemistry course, we have designed a number of technology-based enhancements to assist students in developing more complete understanding of many fundamental processes in biochemistry. Our paper describes the process and pedagogic goals followed in creating these animations, tutorials, simulations and other dynamic models; and how they can be deployed in a hybrid lecture based course.
Citation
Bajzek, D., Burnette, J. & Rule, G. (2006). Constructing Computer Models to Provide Accurate Visualizations and Authentic Online Laboratory Experiences in an Introductory Biochemistry Course. In T. Reeves & S. Yamashita (Eds.), Proceedings of E-Learn 2006--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 14-19). Honolulu, Hawaii, USA: Association for the Advancement of Computing in Education (AACE). Retrieved February 28, 2021 from https://www.learntechlib.org/primary/p/23652/.
© 2006 Association for the Advancement of Computing in Education (AACE)
Keywords
References
View References & Citations Map- Bajzek, D., Burnette, J., & Brown, W. (2005). Building Cognitively Informed Simulators Utilizing Multiple, Linked Representations Which Explain Core Concepts in Modern Biology. In Proceedings of World Conference on Educational
- National Research Council (2003). BIO2010: Transforming Undergraduate Education for Future Research Biologists. Washington, DC. National Academy Press.
- National Research Council. (2004). How People Learn: Brain, Mind, Experience, and School. Expanded Edition. Washington, DC: National Academy Press.
- Rule, G., & Bajzek, D. (2005). Authentic Learning and Assessments: Major Components in Transforming Superficial Understanding into Knowledge-Applications to Introductory Biochemistry. In Proceedings of World Conference on E-Learning inCorporate, Government, Healthcare, and Higher Education 2005 (pp. 1497-1502). Norfolk, VA: AACE.
- Simon, H.A. (1999). The Cognitive Basis of Learning Technology. Talk given at TELsymposium 1999. Carnegie Mellon, Pittsburgh, PA. 1999 Acknowledgments This project is supported by grants from the Howard Hughes Medical Institute, The William and Flora Hewlett Foundation (Online Learning Initiative) and the Office of Technology for Education at Carnegie Mellon University.
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Inventing the Digital Dashboard for Learning
Diana Bajzek, William Brown, Marsha Lovett & Gordon Rule, Carnegie Mellon University, United States
EdMedia + Innovate Learning 2007 (Jun 25, 2007) pp. 1084–1092
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