Addressing metacognitive functions has been shown to improve performance at the individual, team, and organizational levels. Metacognition is beginning to surface as an added cognate discipline for the field of human performance technology (HPT). Advances from research in the fields of cognition and metacognition offer a place for HPT to expand its theoretical base. This article summarizes current theories of metacognition and presents a new metacognitive model for HPT.
Published:
Turner, J. R. (2011). New metacognitive model for human performance technology. Performance Improvement, 50(7), 25-32. doi: 10.1002/pfi.20229
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Metacognition pres
1. Metacognitive
Model for Metacognitive Model for HPT
HPT
Technological Innovations
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Instructor:
Dr. Jeff M. Allen
Conference Paper Presentation
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Presented by:
John R. Turner
October 21, 2010
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2. Metacognitive
Model for New Metacognitive Model for HPT
HPT
Introduction
• HPT is a multi-disciplinary practice
• HPT developed as its’ core Systems Theory and Behavioral Psychology
• HPT is influenced by a number of other cognate disciplines
• HPT’s Cognate Disciplines
• Huglin’s (2009) HPT Roots and Branches - Journal Citations
• Psychology #1 cognate field in journal citations
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• ISPI Journal Search
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• PIQ search for ‘metacognition’: 20 articles
• PIJ search for ‘metacognition’: 11 articles
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3. Metacognitive
Model for New Metacognitive Model for HPT
HPT
Table of Contents
• Cognition
• Metacognition
• Four Critical Points about Metacognition
• Benefits to HPT / New Model
• A Look at Different Metacognitive Theories
• Schraw and Moshman Metacognitive Theories(1995)
• Flavells’ Cognitive Monitoring (1979)
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• Kuhn’s Metacognitive Development (2000)
• Pintrich and Krathwohls’ Revised Taxonomy (2002)
• New Metacognitive Model for HPT
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• Conclusion
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4. Metacognitive Metacognition
Model for knowledge about cognition in general,
as well as awareness of and knowledge
HPT
about one’s own cognition.
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Declarative Knowledge
5)
(Lower Level) Metacognitive Knowing
Conceptual Knowledge (Kuhn) Metatask Knowledge
(Higher Level)
INPUT / OUTPUT
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Metastrategic Knowledge
Procedural Knowledge Metastrategic Knowing
(Kuhn) Strategic Knowledge (Pintrich)
/ Strategy (Flavell)
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Metacognitive Knowledge Knowledge about Cognitive
Conditional Knowledge (Pintrich) Tasks (Pintrich) / Task (Flavell)
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Self-knowledge (Pintrich)
/ Person (Flavell)
5. Metacognitive
Model for Cognition
HPT
• Describes the acquisition, storage, transforma-
tion, and use of knowledge.
• Deals with memory processes.
• Within cognition you have four knowledge do-
mains:
• Declarative Knowledge
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• Conceptual Knowledge
• Procedural Knowledge
• Conditional Knowledge
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6. Metacognitive
Model for Metacognition
HPT
“cognition that refelcts 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)
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7. Metacognitive
Model for Metacognition: Critical Point #1
HPT
• Metacognition is a cyclical activity where the
cognitive functions are reflected upon and moni-
tored by the metacognitive functions.
• Metacognitive and cognitive functions are interacting with one another.
“educational research corroborates theories that
emphasize the interaction of cognitive, meta-
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cognitive, and affective components of learning”
(Gourgey, 1998).
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8. Metacognitive
Model for Metacognition: Critical Point #1
HPT
• Gourgey (1998) identifies metacognitive pro-
cesses as “internal, ‘executive’ processes that su-
pervise and control cognitive processes”.
Critical Point #1: Metacognition is cyclical and in-
teractive with the cognitive domains.
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9. Metacognitive
Model for Metacognition: Critical Point #2
HPT
“Investigators have recently concluded that meta-
cognition plays an important role in oral com-
munication of information, oral persuasion, oral
comprehension, reading comprehension, writ-
ing, language acquisition, attention, memory,
problem-solving, social cognition, and various
types of self-control and self-instruction” (Fla-
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vell, 1979).
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10. Metacognitive
Model for Metacognition: Critical Point #2
HPT
• Understanding one’s metacognitive abilities
provides for better learning and improved task
or goal achievement.
Critical point #2: Improving metacognitive activi-
ties helps to improve performance.
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11. Metacognitive
Model for Metacognition: Critical Point #3
HPT
• Research has acknowledged cognitive and meta-
cognitive activities when referring to individu-
als, teams, groups, and organizations.
“individuals, groups, and organizations can be
conceptualized as a nested hierarchy of learning
systems: (Arrow, McGrath & Berdahl, 2000)
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12. Metacognitive
Model for Metacognition: Critical Point #3
HPT
• Learning, when referring to a team, group, or or-
ganization can be viewed as an isomorphic con-
struct (Garavan & McCarthy, 2008).
• isomorphic: “having similar or identical structure
or form” (Webster’s College Dictionary, 2001).
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13. Metacognitive
Model for Metacognition: Critical Point #3
HPT
• From this perspective, the learning functions at
the individual level, including the cognitive and
metacognitive functions, could be used to mod-
el the learning functions at the team, group, and
organization levels.
Critical Point #3: Metacognition is an isomor-
phic construct that can be applied to each level
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of performance: individual, process, or organiza-
tion.
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14. Metacognitive
Model for Metacognition: Critical Point #4
HPT
• Research indicates that cognitive and metacog-
nitive functions operate on their own indepen-
dent neuronal paths within the brain.
“It may well be that the mechanisms that sub-
serve one or another type of metacognitive
judgment rely, in turn, on the functioning of
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relatively independent modules” (Rosenthal,
2000).
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15. Metacognitive
Model for Metacognition: Critical Point #4
HPT
• Research on memory indicates that cognitive
systems are not connected to one location with-
in the brain.
Instead of cognitive systems being located in
one area of the brain, “a more likely scenario is
that the brain implements cognition via inter-
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connected networks of specialized areas, each
performing different computation” (Fernandez-
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Duque, Baird, & Posner, 2000).
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16. Metacognitive
Model for Metacognition: Critical Point #4
HPT
Critical Point #4: Cognitive functions and their
associated metacognitive functions do not oper-
ate on sigular networks or loops.
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17. Metacognitive
Model for Critical Points about Metacognition
HPT
1. Metacognition is cyclical and interactive with
the cognitive domains.
2. Improving metacognitive abilities helps to im-
prove performance.
3. Metacognition is an isomorphic construct that
can be applied to each level of performance: in-
dividual, process, or organization.
4. Cognitive functions and their associated meta-
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cognitive functions do not operate on singular
networks or loops.
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18. Metacognitive
Model for Benefits to HPT / New Model
HPT
• “Creation / validation of models and develop-
ment of HPT theory” was found to be the highest
priority in the HPT research category from Hug-
lin, Johnsen, and Markers’ (2007) Delphi Study.
“Many HPT scholars agree that more theory de-
velopment and theory-grounded empirical re-
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search are in order” (Cho and Yoon 2010).
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19. Metacognitive
Model for Benefits to HPT / New Model
HPT
• This conference paper introduces a theory of
cognitive / metacognitive domains that could
benefit performance improvement efforts in the
HPT domain.
• This theory is presented as a new model: Meta-
cogntive Model for HPT.
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20. Metacognitive
Model for A Look at Different Metacognitive
HPT
Theories
• Schraw and Moshman Metacognitive Theories
(1995)
• Flavell’s Cognitive Monitoring (1979)
• Kuhn’s Metacognitive Development (2000)
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• Pintrich and Krathwohls’ Revised Taxonomy
(2002)
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21. Metacognitive Declarative Knowledge
Model for
HPT Metacognitive Procedural Knowledge
Knowledge
Traditional Conditional Knowledge
Metacognition
Planning
Regulation
of Cognition
Monitoring
Schraw and Moshman
(1995) Evaluation
Tacit
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Metacognitive Theories Explicit / Informal
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Explicit / Formal
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22. Metacognitive
Model for Person
HPT
Metacognitive
Task
Knowledge
Strategy
Metacognitive
Experiences
Flavell (1979)
Cognitive Monitoring
Goals
or Tasks
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Actions
or Strategies
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23. Metacognitive
Model for
HPT
Declarative Metacognitive
Knowledge Knowing
Meta-Level Awareness
Kuhn (2000)
Metacognitive Development
Metatask
Knowledge
Procedural Metastrategic
Knowledge Knowing
Metastrategic
Knowledge
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24. Metacognitive Pintrich (2002)
Krathwohl (2002)
Model for Revised Bloom’s Taxonomy
HPT
Revised Knowledge Revised Cognitive
Dimension Taxonomy
Remember
Factual Knowledge
Understand
Conceptual
Knowledge Apply
Procedural
Knowledge Analyze
Metacognitive Evaluate
Knowledge
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Knowledge of Create
Strategy
Knowledge about
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Cognitive Tasks
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Self-Knowledge
25. Metacognitive
Model for Metacognitive Model for HPT
HPT
• New metacognitive model for HPT
• A composite of key concepts provided by each of the four models present-
ed.
• This model juxtaposes commonalities of the previous models and provides
a structure that keeps the inherent meaning of each previous model.
• This model is unique in that it addresses all four of the knowledge domains
in one model.
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• This model shows the interactivity between the metacognitive functions
and the cognitive functions.
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26. Metacognitive
Model for
HPT
Declarative Knowledge
(Lower Level) Metacognitive Knowing
Conceptual Knowledge (Kuhn) Metatask Knowledge
(Higher Level)
INPUT / OUTPUT
Metastrategic Knowledge
Procedural Knowledge Metastrategic Knowing
(Kuhn) Strategic Knowledge (Pintrich)
/ Strategy (Flavell)
Metacognitive Knowledge Knowledge about Cognitive
Conditional Knowledge (Pintrich) Tasks (Pintrich) / Task (Flavell)
Self-knowledge (Pintrich)
/ Person (Flavell)
Figure 1: Metacognitive Model for HPT
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27. Metacognitive
Model for Metacognitive Model for HPT
HPT
• Declarative and Conceptual Knowledge are
grouped together indicating that both types of
knowledge are dependent on one another.
• Declarative Knowledge deals with a lower level of understanding, primarily
one’s lexicon or facts.
• Conceptual Knowledge involves a higher level of understanding, compar-
ing concepts and determining their relationships.
• Declarative Knowledge and Conceptual Knowl-
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edge are associated with Kuhn’s (2000) Metacog-
nitive Knowing.
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28. Metacognitive
Model for Metacognitive Model for HPT
HPT
• Procedural Knowledge is best represented by
Kuhn’s (2000) Metastrategic Knowing domain.
• This Metastrategic Knowing domain is divided
into two subcategories: Metatask Knowledge
and Metastrategic Knowledge.
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29. Metacognitive
Model for Metacognitive Model for HPT
HPT
• Conceptual Knowledge is best represented by
Pintrich’s (2002) Metacognitive Knowledge do-
main.
•
• The Metacognitive Knowledge domain is sepa-
rated into three subcategories:
• Strategic Knowledge (Pintrich) / Strategy (Flavell)
• Knowledge about Cognitive Tasks (Pintrich) / Task (Flavell)
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• Self-Knowledge (Pintrich) / Person (Flavell)
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30. Metacognitive
Model for Conclusion
HPT
• Research has indicated that performance improve-
ment occurs when the metacognitive domains are ad-
dressed.
• This model addresses the concerns identified by Hug-
lin, Johnsen, and Marker (2007) when they indentified
that the creation and validation of models were re-
quired to further the research efforts within HPT.
• Addressing the cognitive and metacognitve domains
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during performance improvement efforts, such as ap-
plying the concepts in the Metacognitive Model for
HPT, can assist the field of HPT.
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31. Metacognitive
Model for
References
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Cho, Y. & Yoon, S. W. (2010). Theory development and convergence of human resource fields: Impli-
cations for human performance technology. Performance Improvement Quarterly, Vol. 23, Issue
3, pp. 39 - 56. doi:10.1002/piq
Fernandez-Duque, D., Baird, J. A., & Posner, M. I. (2000). Executive attention and metacognitive reg-
ulation. Consciousness and Cognition, Vol. 9, pp. 288 - 307.
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive - developmen-
tal inquiry. American Psychologist, Vol. 34, No. 10, pp. 906 - 911.
Garavan, T. N., & McCarthy, A. (2008). Collective learning processes and human resource develop-
ment. Advances in Developing Human Resources, Vol. 10, No. 4, pp. 451 - 471.
Gourgey, A. F. (1998). Metacognition in basic skills instruction. Journal not defined, Vol. 26, pp. 81 -
96, copyright Kluwer Academic Publishers, Printed in the Netherlands.
Hughlin, L., Johnsen, L., & Marker, A. (2007). Research priorities in performance technology: A del-
phi study. Performance Improvement Quarterly, Vol. 20, No. 1, pp. 79 - 95.
Krathwohl, D. R. (2002). A revision of Bloom’s Taxonomy: An overview. Theory into Practice, Vol. 41,
No. 4, pp. 212 - 218.
Kuhn, D. (2000). Metacognitive development. Current Directions in Psychological Science, Vol. 9,
Technological Innovations
No. 5, pp. 178 - 181.
Pintrich, P. R. (2002). The role of metacognitive knowledge in learning, teaching, and assessing.
Theory into Practice, Vol. 9, pp. 203 - 214.
Schraw, G. & Moshman, D. (1995). Metacognitive theories. Educational Psychology Review, Vol. 7,
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No. 4, pp. 351 - 371.
Webster’s new world college dictionary (4th ed.), (2001). Foster City, CA: IDG Books Worldwide.
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