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Observation of Metacognitive Skills in Natural Environments: A Longitudinal Study With Mixed Methods
María Consuelo Sáiz Manzanares1, Miguel Ángel Queiruga Dios2, César Ignacio García-Osorio3
1Research Group DATAHES, Faculty of Health Sciences, University of Burgos, Burgos, Spain.
Evaluating metacognitive skills in natural settings offers precise insights into student learning. This study analyzed physics problem-solving in secondary students, identifying learning patterns and areas for improvement.
Area of Science:
- Educational Psychology
- Cognitive Science
- Physics Education
Background:
- In-situ evaluation methods for metacognitive skills yield more accurate data than traditional off-line approaches.
- Metacognitive skills are crucial for effective problem-solving in academic disciplines like physics.
- Understanding student learning patterns requires longitudinal and mixed-methods research designs.
Purpose of the Study:
- To analyze the application of metacognitive skills by secondary students within natural learning environments while solving physics problems.
- To investigate longitudinal behavioral patterns in student learning.
- To compare the efficacy of in-situ versus off-line evaluation methods for metacognitive skills.
Main Methods:
- Employed mixed methods over one academic year, analyzing 509 think-aloud protocols from secondary students.
- Utilized response categorization (liquefying) and the Van der Stel and Veenman protocol to assess metacognitive skill quality.
- Applied graph analysis to identify individual student behavioral patterns and learning trajectories.
Main Results:
- Observed a reduction in conceptual errors and vocabulary uncertainty throughout the academic year, though conceptual ambiguity persisted.
- Metacognitive skills related to Orientation and Planning were most frequently utilized by students.
- Identified distinct behavioral patterns, enabling the identification of academically challenged and at-risk students.
Conclusions:
- In-situ evaluation of metacognitive skills in physics problem-solving provides valuable insights into student learning processes.
- Mixed methods, including think-aloud protocols and graph analysis, effectively reveal individual learning paces and patterns.
- Findings support the development of automated in-situ evaluation techniques for metacognitive skill assessment.
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