Instructional Design Considerations for Science E-Learning PROCEEDINGS
Kevin Downing, Jennifer Holtz, DePaul University, United States
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Las Vegas, Nevada, USA ISBN 978-1-880094-66-2 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
Participants will be introduced to a best-practices, didactic model for design of effective online science education programs, at the meta level, and courses, at the operational level. The model, which incorporates a science valuation framework, Disciplinary Content Object Model (DCOM), and neuro-cognitive paradigm, is grounded in contemporary theory of, and practice in, both general human learning and science-specific learning. It incorporates the elements of practical work, knowledge transfer and collaboration structures; essential to science learning, but challenging to operationalize online. Options in extant technologies useful in online science learning, as well as promising emerging technologies are couched within operational realities and limitations. Participants will use tools and forms in small groups to examine an existing science program or course, or begin to design a new science program or course.
Downing, K. & Holtz, J. (2008). Instructional Design Considerations for Science E-Learning. In C. Bonk, M. Lee & T. Reynolds (Eds.), Proceedings of E-Learn 2008--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 2-7). Las Vegas, Nevada, USA: Association for the Advancement of Computing in Education (AACE). Retrieved May 23, 2018 from https://www.learntechlib.org/primary/p/29566/.
© 2008 Association for the Advancement of Computing in Education (AACE)