What research tells us about making training better | Chris Daniel, Ed. D
We get in the weeds with Chris Daniel, Senior LMS Strategist at Eastern Kentucky University. Chris co-founded EKU's instructional design master's program and is field faculty for the University of Kentucky.
We talk about:
- Cognitive Load Theory and the importance of learning efficiency
- Using NASA's Task Load Index to measure learning efficiency
- Starting with Catherine Sleezer's Needs Assessment prior to building training
- Tips for engaging learners to drive learning completions
- What AI can do now and where it could help in the future
You can reach Chris at chris.daniel@eku.edu or chris.daniel@gmail.com
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Topics
(00:00) Introduction to Chris Daniel
(00:58) How to measure learning efficiency using Cognitive Load Theory
(03:15) Are narrative simulations more effective than text and image?
(07:57) Why learning efficiency matters
(10:45) Practical advice for measuring learning efficiency
(13:20) Can Kirkpatrick Level 1 be used to evaluate effectiveness?
(18:45) The role of Instructional Designers and challenges they face
(21:30) Sleezer's Needs Analysis explained
(25:40) How do we actually get people to do the training?
(29:05) How AI is speeding up University faculty
(32:04) Chris' vision for the future of AI agents
(37:15) Kentucky vs Australia
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References
Learning From Media: Arguments, Analysis, and Evidence | Richard E. Clark
Cognitive Load Measurement as a Means to Advance Cognitive Load Theory | Fred Paas
A Practical Guide to Needs Assessment | Catherine M. Sleezer, Darlene F. Russ-Eft, Kavita Gupta
Map It: The hands-on guide to strategic training design | Cathy Moore
Instructional Illusions | Paul A. Kirschner
