A Critical Reappraisal of Self-learning in Health Professions Education: Directed Self-guided Learning Using Simulation Modalities

• Main Author: Brydges, Ryan
• Other Authors: Dubrowski, Adam
• Language: en_ca
• Published: 2009
• Subjects: simulation; goal setting; metacognition; health professions education; self-monitoring; directed self-guided learning; 0350; 0525
• Online Access: http://hdl.handle.net/1807/19178

Context: Self-learning (i.e., students learning independently) and clinical simulation are essential components in contemporary health professions education (HPE). Self-learning is discussed often, yet the concept is seldom the target of rigorous study. Likewise, simulation modalities are abundant, though educational theory that guides their use in HPE remains elusive. Objectives: This dissertation investigates the effects of directed self-guided learning (DSGL) on novice health professions students’ skill acquisition, retention, and transfer in the context of simulation-based education. The objective is to explore how the combination of external direction and student self-guidance influences: students’ cognitive and metacognitive processes, students’ interactions with the learning environment and available resources, and how students learn in different DSGL contexts. Methods: Three research studies used randomized, controlled experimental designs to address five hypotheses. All studies included a performance assessment one-week after the initial practice session that evaluated skill retention and/or skill transfer. Data analysis employed univariate and multivariate analyses of variance and correlational techniques. Results: Regarding students’ cognitive and metacognitive processes, the data show a relation between DSGL and goal-setting. The results suggest that self-guided students benefit when they are directed to set goals related to performance processes, rather than performance outcomes. Regarding the learning environment, when students are directed to practice on simulators that increase progressively in fidelity (i.e., realism) they self-guide their advancement between those simulators effectively and display successful skill transfer. Finally, self-guided students that controlled their learning progression and learning sequence selected the theoretically most appropriate practice schedule (i.e., progressive learning). Students in this latter group seemed able, surprisingly, to direct their own self-guidance. Conclusions: This dissertation adds support to the hypothesis that self-guided students benefit due to their autonomy in controlling practice conditions to meet their own learning needs. Thus, the question of whether or not DSGL is effective, becomes how best to augment the DSGL experience. The instructional design of elements such as goals lists and task structuring (e.g., progressive increases in simulator fidelity) represent techniques that an educator can use to fulfill the role of director in a student’s SGL.