Self‐Directed Learning in Problem‐Based Learning
Heather Leary, Andrew E. Walker, Mason Lefler, Yu‐Chun Kuo
Abstract
Heather Leary, Andrew E. Walker, Mason Lefler, Yu‐Chun Kuo
Abstract
The chapter focuses on the importance of self-directed learning in problem-based learning (PBL) through a review and analysis of relevant literature. Although self-directed learning is a critical process and outcome of PBL, there is a lack of emphasis on the study of self-directed learning (SDL) in the PBL environment. To gain more understanding of SDL and its relevance to PBL, we undertake a review of PBL history as it applies to SDL, as well as the cognitive, affective, and conative learning objectives, and goals of PBL. Underlying learning theories that support PBL are explained. As indicated in several existing primary research studies there is strong connection between SDL and PBL. Data supports the claims that PBL promotes self-directed learning as a process within PBL and an outcome of PBL interventions. The chapter ends with a conclusion and recommendations for future researchers.
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The chapter focuses on the importance of self-directed learning in problem-based learning (PBL) through a review and analysis of relevant literature. Although self-directed learning is a critical process and outcome of PBL, there is a lack of emphasis on the study of self-directed learning (SDL) in the PBL environment. To gain more understanding of SDL and its relevance to PBL, we undertake a review of PBL history as it applies to SDL, as well as the cognitive, affective, and conative learning objectives, and goals of PBL. Underlying learning theories that support PBL are explained. As indicated in several existing primary research studies there is strong connection between SDL and PBL. Data supports the claims that PBL promotes self-directed learning as a process within PBL and an outcome of PBL interventions. The chapter ends with a conclusion and recommendations for future researchers.
Key concepts: Autodidacticism, Problem-based learning, Outcome (game theory), Psychology, Relevance (law), Process (computing), Computer science, Mathematics education