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Updated: Jun 8, 2026

Multimodal Protocol for Assessing Metacognition and Self-Regulation in Adults with Learning Difficulties
Published on: September 27, 2020
Assessing medical students' self-regulation as aptitude in computer-based learning.
Hyuksoon S Song1, Adina L Kalet, Jan L Plass
1Program in Educational Communication and Technology, New York University, 239 Greene Street Suite 300, New York, NY 10003, USA. hyuksoon.song@nyu.edu
A new Self-Regulation Measure for Computer-based learning (SRMC) effectively assesses medical students' self-regulation skills. This tool shows reliability and validity, correlating with academic performance and clinical knowledge.
Area of Science:
- Medical Education
- Educational Psychology
Background:
- Self-regulated learning is crucial for medical students.
- Existing measures may not be optimally suited for medical education contexts.
Purpose of the Study:
- To develop and validate a Self-Regulation Measure for Computer-based learning (SRMC) for medical students.
- To assess the reliability and concurrent validity of the SRMC.
Main Methods:
- Modified Zimmerman's Self-Regulated Learning Interview Schedule (SRLIS).
- Conducted two studies with first-year and third-year medical students.
- Utilized bivariate correlation and regression analyses.
Main Results:
- SRMC scores moderately correlated with teacher-developed test achievement (Study 1).
- Frequency of self-regulation strategy use associated with general clinical knowledge (Study 2).
- Evidence for SRMC's reliability and concurrent validity was established.
Conclusions:
- The SRMC is a reliable and valid instrument for assessing medical students' self-regulation aptitude in computer-based learning.
- Findings support the SRMC's utility in evaluating self-regulation skills.
- Future research should inform instructional design and educational policy.
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