Council on Medical Student Education in Pediatrics


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COMSEP 2009 Baltimore Meeting with APPD

Platform Presentation:

Self-Directed Learning and Individualized Learning Plans: Implications for Program Directors

Su-Ting T. Li, MD, MPH, Daniel J. Tancredi, PhD, UC Davis, Sacramento, California, Daniel C. West, MD, University of California, San Francisco, San Francisco, CA, John Patrick T. Co, MD, MPH, Massachusetts General Hospital, Boston, MA

OBJECTIVES: 1) To describe resident and program director attitudes toward self-assessment, self-directed learning and Individualized Learning Plans (ILPs) and advantages/challenges with developing and implementing an effective ILP. 2) To determine which resident- or program-related factors are associated with effective self-directed learning of residents. METHODS: National cross-sectional web-based survey of pediatric and med/peds residents and program directors supported by a 2008 APPD Special Projects Grant. Data collection is ongoing until December 2008. The resident survey includes demographic questions (gender, subspecialty preference, practice site preference, year of training), and scale items intended to assess self-directed learning efficacy as measured by progress toward achieving previous learning goals, confidence in self-directed learning abilities, learning style, propensity toward lifelong learning, previous experience with self-assessment and self-directed learning, and perceived advantages and challenges associated with ILPs. The program director survey collects information about program demographics, the program’s use of ILPs, and the existence of programmatic support for self-assessment and self-directed learning. We will characterize the distribution of learner and program traits using descriptive analyses. In order to determine factors associated with learner self-directed learning efficacy, we will use bivariate tests and multivariate regression methods for multilevel data. RESULTS: Residents and program directors from 47 programs were surveyed. Data collection will be completed in December 2008, and data analysis is planned for January 2009. At the spring 2009 APPD meeting, we will report our preliminary findings.