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Computational metacognition represents a cognitive systems perspective on high-order reasoning in integrated artificial systems that seeks to leverage ideas from human metacognition and from metareasoning approaches in artificial intelligence. The key characteristic is to declaratively represent and then monitor traces of cognitive activity in an intelligent system in order to manage the performance of cognition itself. Improvements in cognition then lead to improvements in behavior and thus performance. We illustrate these concepts with an agent implementation in a cognitive architecture called MIDCA and show the value of metacognition in problem-solving. The results illustrate how computational metacognition improves performance by changing cognition through meta-level goal operations and learning.
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This content will become publicly available on March 1, 2026
Alone and Together: Exploring the Relationship Between Individual and Social Metacognition in College Biology Students During Problem Solving
This qualitative study of metacognition in upper-level biology undergraduates used in-the-moment data to reveal complexity in the relationship between students's individual and social metacognition while problem solving. Interestingly, students more readily corrected and evaluated their group members' ideas compared to their own ideas.
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- Award ID(s):
- 1942318
- PAR ID:
- 10581479
- Editor(s):
- Gouvea, Julia
- Publisher / Repository:
- American Society for Cell Biology
- Date Published:
- Journal Name:
- CBE—Life Sciences Education
- Volume:
- 24
- Issue:
- 1
- ISSN:
- 1931-7913
- Subject(s) / Keyword(s):
- metacognition social metacognition problem solving think aloud undergraduate
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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