Metacogn pres 2

551 views

Published on

Published in: Education, Technology, Business
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total views
551
On SlideShare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
6
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Metacogn pres 2

  1. 1. Metacognitive Model for Metacognitive Model for HPT HPT Technological Innovations ATT-6100 Instructor: Dr. Jeff M. Allen Conference Paper PresentationTechnological Innovations Presented by: John R. Turner November 2, 2010ATTD-6100UNT
  2. 2. Metacognitive Model for Human Performance Improvement (HPT) HPT Career Development Technology Training and Development Organization Development (OD) Performance Improvement Design GST HPT Behavioral Psychology Social Networking Need Assessment Cognitive Psychology General Systems Theory (GST) Change Theory i d Analysis Performance Analysis Scenario Planning Metnal Models Cognition / Metacognition Model Organizational Change Measurement & Evaluation Game Theory E-Learning Cognitive Approach Systems Thinking Innovation Theory development UTechnological Innovations Theory BuildingATTD-6100 Model DevelopmentUNT
  3. 3. Human Performance Improvement (HPT) CoreCareer Development Training and Development Technology Organization Development (OD) GST HPT Performance Improvement Design Behavioral Psychology Cognate Disciplines Social Networking Need Assessment Cognitive Psychology General Systems Theory (GST) Change Theory i d Analysis Performance Analysis Psychology Scenario Planning Metnal Models #1 Resource in Journal Citations Model Organizational Change Measurement & Evaluation Game Theory E-Learning Cognitive Approach Systems Thinking Innovation Theory developmentHuglin, Johnsen, and Marker (2007) indicated that the“creation / validation of models and development of HPT theory”needs to be the highest priority in HPT.“efforts to develop core theories of HPT... have beenless visible in the field in comparison to related HR fields”Cho and Y oon (2010)
  4. 4. Cognition Knowledge Domain Long-Term Memory Short-Term Memory Executive Processing Neuron Activation Metacognition
  5. 5. Metacognition “cognition that reflects on, monitors, or regulates first-order cognition” Kuhn (2000) “knowledge about cognition in general, as well as awareness of and knowledge about one’s own cognition” Pintrich (2002)
  6. 6. Metacognition Critical Points Cyclical & Interactive Improves Performance Isomorphic Construct Does Not Operate on Singular Networks or Loops
  7. 7. U Theory Building Model DevelopmentFlavell’s Cognitive Monitoring (1979) Schraw and Moshman Metacognitive Theories (1995) Kuhn’s Metacognitive Development (2000) Pintrich and Krathwohls’ Revised Taxonomy (2002)
  8. 8. U Metacognitive Model for HRTA composite of key concepts from existing metacognitive models.This model juxtaposes commonalities of the previous modelsand provides a structure that keeps the inherent meaningof each previous model.This model is unique in that it addresses all four of the knowledgedomains in one model.This model shows the interactivity between the metacognitivefunctions and the cognitive functions.
  9. 9. Metacognitive Model for Conclusion HPT • Research has indicated that performance im- provement occurs when the metacognitive do- mains are adressed. • This model builds on the theoretical base for HPT. • Addressing the cognitive and metacognitive do-Technological Innovations mains during performance improvement efforts, such as applying the concepts in the Metacogni-ATTD-6100 tive Model for HPT, can assist the field of HPT.UNT
  10. 10. Metacognitive Model for References HPT Cho, Y. & Yoon, S. W. (2010). Theory development and convergence of human resource fields: Implications for human performance technol- ogy. Performance Improvement Quarterly, Vol. 23, Issue 3, pp. 39-56. doi:10.1002/piq Cognition_Image.jpg retrieved on 10/30/2010 from http://neuroscience. ucdavis.edu/grad/research. Cognition_mnd.jpg retrieved 10/30/2010 from http://ftdrd.org/research/ areas-of-research/cognition/ Huglin, L., Johnsen, L., & Marker, A. (2007). Research priorities in perfor- mance technology: A selphi study. Performance Improvement Quarterly, Vol. 20, No. 1, pp. 79-95.Technological Innovations TFPBFOOZ.jpg retrieved 10/32/2010 from http://www.google.com/ imguri=http://imagecacheLo.allposters.com/LRG/30/3040/TFPBFOOZ. jpgimgrefurl/ATTD-6100UNT

×