Literature DB >> 25693794

Sequencing learning experiences to engage different level learners in the workplace: An interview study with excellent clinical teachers.

H Carrie Chen1, Patricia O'Sullivan1, Arianne Teherani1, Shannon Fogh1, Brent Kobashi1, Olle ten Cate2.   

Abstract

PURPOSE: Learning in the clinical workplace can appear to rely on opportunistic teaching. The cognitive apprenticeship model describes assigning tasks based on learner rather than just workplace needs. This study aimed to determine how excellent clinical teachers select clinical learning experiences to support the workplace participation and development of different level learners.
METHODS: Using a constructivist grounded theory approach, we conducted semi-structured interviews with medical school faculty identified as excellent clinical teachers teaching multiple levels of learners. We explored their approach to teach different level learners and their perceived role in promoting learner development. We performed thematic analysis of the interview transcripts using open and axial coding.
RESULTS: We interviewed 19 clinical teachers and identified three themes related to their teaching approach: sequencing of learning experiences, selection of learning activities and teacher responsibilities. All teachers used sequencing as a teaching strategy by varying content, complexity and expectations by learner level. The teachers initially selected learning activities based on learner level and adjusted for individual competencies over time. They identified teacher responsibilities for learner education and patient safety, and used sequencing to promote both.
CONCLUSIONS: Excellent clinical teachers described strategies for matching available learning opportunities to learners' developmental levels to safely engage learners and improve learning in the clinical workplace.

Entities:  

Mesh:

Year:  2015        PMID: 25693794     DOI: 10.3109/0142159X.2015.1009431

Source DB:  PubMed          Journal:  Med Teach        ISSN: 0142-159X            Impact factor:   3.650


  4 in total

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  4 in total

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