Optimizing Distributed Learning Delivery Models: An Asset Class Approach to Distance Learning

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Menchaca, M. (2004). Optimizing Distributed Learning Delivery Models: An Asset Class Approach to Distance Learning. In L. Cantoni & C. McLoughlin (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2004 (pp. 409-413). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/12966.

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Conference Information

World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) 2004
Lugano, Switzerland
2004
ISBN 1-880094-53-3
  Lorenzo Cantoni & Catherine McLoughlin
AACE

More Information on EDMEDIA
Table of Contents

Author

Mike Menchaca, California State University, Sacramento, USA

Abstract

This white paper describes research-based findings for optimizing the delivery of distributed distance learning using multiple tools. The paper combines research from the areas of modern portfolio theory, multiple intelligences, and distributed learning to form a theoretic approach to allocating classes of tools in optimized percentages to create the best delivery models for distributed learning. Classes identified by research included: face-to-face interaction, synchronous interaction, asynchronous interaction, and interaction with web-based content. Research conducted for the paper revealed that certain classes worked best with specific strategies. The paper does not make claims that these are the only classes, or even the best ones, but lays the foundation in a white paper for an expanded, theoretic definition of distributed learning and how delivery models can be optimized.

Keywords

• Interaction

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