Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument

被引:7
|
作者
Stringer, J. K. [1 ]
Gruppen, Larry D. [2 ]
Ryan, Michael S. [1 ]
Ginzburg, Samara B. [3 ]
Cutrer, William B. [4 ]
Wolff, Margaret [5 ]
Santen, Sally A. [1 ,6 ]
机构
[1] Virginia Commonwealth Univ, Sch Med, 1201E Marshall St MMEC 4-214,Box 980565, Richmond, VA 23298 USA
[2] Univ Michigan, Sch Med, Dept Learning Hlth Sci, Ann Arbor, MI 48109 USA
[3] Zucker Sch Med Hofstra Northwell, Hempstead, NY USA
[4] Vanderbilt Univ, Sch Med, 221 Kirkland Hall, Nashville, TN 37235 USA
[5] Univ Michigan, Sch Med, Ann Arbor, MI 48109 USA
[6] Univ Cincinnati, Coll Med, Cincinnati, OH 45221 USA
关键词
Medical students; Self-regulated learning; Goal setting; Survey; MODEL;
D O I
10.1007/s40670-021-01491-9
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Background The master adaptive learner (MAL) uses self-regulated learning skills to develop adaptive, efficient, and accurate skills in practice. Given rapid changes in healthcare, it is essential that medical students develop into MALs. There is a need for an instrument that can capture MAL behaviors and characteristics. The objective of this study was to develop an instrument for measuring the MAL process in medical students and evaluate its psychometric properties. Methods As part of curriculum evaluation, 818 students completed previously developed instruments with validity evidence including the Self-Regulated Learning Perception Scale, Brief Resilience Scale, Goal Orientation Scale, and Jefferson Scale of Physician Lifelong Learning. The authors performed exploratory factor analysis to examine underlying relationships between items. Items with high factor loadings were retained. Cronbach's alpha was computed. In parallel, the multi-institutional research team rated the same items to provide content validity evidence of the items to MAL model. Results The original 67 items were reduced to 28 items loading onto four factors: Planning, Learning, Resilience, and Motivation. Each subscale included the following number of items and Cronbach's alpha: Planning (10 items, alpha = 0.88), Learning (6 items, alpha = 0.81), Resilience (6 items, alpha = 0.89), and Motivation (6 items, alpha = 0.81). The findings from the factor analyses aligned with the research team ratings of linkage to the components of MAL. Conclusion These findings serve as a starting point for future work measuring master adaptive learning to identify and support learners. To fully measure the MAL construct, additional items may need to be developed.
引用
收藏
页码:183 / 193
页数:11
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