Assessing medical students' self-regulation as aptitude in computer-based learning.
We developed a Self-Regulation Measure for Computer-based learning (SRMC) tailored toward medical students, by modifying Zimmerman's Self-Regulated Learning Interview Schedule (SRLIS) for K-12 learners. The SRMC's reliability and validity were examined in 2 studies. In Study 1, 109 first-year medical students were asked to complete the SRMC. Bivariate correlation analysis results indicated that the SRMC scores had a moderate degree of correlation with student achievement in a teacher-developed test. In Study 2, 58 third-year clerkship students completed the SRMC. Regression analysis results indicated that the frequency of medical students' usage of self-regulation strategies was associated with their general clinical knowledge measured by a nationally standardized licensing exam. These two studies provided evidence for the reliability and concurrent validity of the SRMC to assess medical students' self-regulation as aptitude. Future work should provide evidence to guide and improve instructional design as well as inform educational policy.
Song
Hyuksoon S
HS
Program in Educational Communication and Technology, New York University, 239 Greene Street Suite 300, New York, NY 10003, USA. hyuksoon.song@nyu.edu
Kalet
Adina L
AL
Plass
Jan L
JL
D001076:Aptitude; D003194:Computer-Assisted Instruction / Q000379:methods*; D016001:Confidence Intervals; D004521:Educational Measurement; D004522:Educational Status; D006801:Humans; D007858:Learning; D010865:Pilot Projects; D015203:Reproducibility of Results; D012577:Schools, Medical; D012927:Social Control, Informal; D013223:Statistics as Topic; D013335:Students, Dental / Q000523:psychology*; D013337:Students, Medical / Q000523:psychology*