Skip navigation

Home | About | Contact

Digital Library > Conference Papers > EDMEDIA > Volume 1999, Issue 1 >
Login or register for free to remove ads.

A Meta-analysis of Learning Evaluation Online: LEO's Useability, Adoption, and Patterns of Use

New Search
New Search
Print Abstract
Print Abstract
E-mail Abstract
E-mail Abstract
Full Text
Full Text
Add To Collection
Save to My Collections
Export Citation
Export Citation

Ip, A. & Kennedy, D.M. (1999). A Meta-analysis of Learning Evaluation Online: LEO's Useability, Adoption, and Patterns of Use. In B. Collis & R. Oliver (Eds.), Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 1999 (pp. 126-131). Chesapeake, VA: AACE.
Retrieved from http://www.editlib.org/p/17410.

OpenURL Link

Conference Information

EDMEDIA

World Conference on Educational Multimedia, Hypermedia and Telecommunications (EDMEDIA) 1999
1999
ISBN 1-880094-35-5
  Betty Collis & Ron Oliver
AACE

More Information on EDMEDIA

Table of Contents


Authors

Albert Ip, The University of Melbourne, Australia; David M. Kennedy, Monash University, Australia

Abstract

The design, development, implementation, and evaluation of Web-based courseware for teaching and learning are important issues in higher education. However, available evidence suggests evaluation of much courseware is minimal. This paper reports a meta-analysis of the adoption, usage, and implementation of a generic, customisable, online survey / evaluation software tool—Learning Evaluation Online (LEO). A customisable evaluation tool derived from the need to: · customise each survey to suit each particular project, · collect data from widely geographically separated evaluators, and · decrease the time and expense of data collection and evaluation. LEO was also designed to be customisable by individuals with minimal computing experience. Templates for basic evaluation question types are provided. The use of LEO was logged by the LEO software engine and our LEO-on-LEO survey. An analysis of the quantitative and qualitative data generated is presented together with recommendations for improving implementation of similar tools.

Keywords

Also Read

Tags

Comments & Discussion

Comment on the paper above. You must be registered to participate. Registration is free.




Feedback and Suggestions please email info@editlib.org.