Title |
Computer supported collaborative learning in a clerkship: an exploratory study on the relation of discussion activity and revision of critical appraisal papers
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Published in |
BMC Medical Education, August 2012
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DOI | 10.1186/1472-6920-12-79 |
Pubmed ID | |
Authors |
Willem JM Koops, Cees PM van der Vleuten, Bas A de Leng, Luc HEH Snoeckx |
Abstract |
Medical students in clerkship are continuously confronted with real and relevant patient problems. To support clinical problem solving skills, students perform a Critical Appraisal of a Topic (CAT) task, often resulting in a paper. Because such a paper may contain errors, students could profit from discussion with peers, leading to paper revision. Active peer discussion by a Computer Supported Collaborative Learning (CSCL) environment show positive medical students perceptions on subjective knowledge improvement. High students' activity during discussions in a CSCL environment demonstrated higher task-focussed discussion reflecting higher levels of knowledge construction. However, it remains unclear whether high discussion activity influences students' decisions revise their CAT paper. The aim of this research is to examine whether students who revise their critical appraisal papers after discussion in a CSCL environment show more task-focussed activity and discuss more intensively on critical appraisal topics than students who do not revise their papers. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 2 | 2% |
Germany | 1 | 1% |
Canada | 1 | 1% |
Unknown | 82 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 16 | 19% |
Student > Ph. D. Student | 10 | 12% |
Student > Doctoral Student | 8 | 9% |
Student > Bachelor | 7 | 8% |
Other | 6 | 7% |
Other | 21 | 24% |
Unknown | 18 | 21% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 26 | 30% |
Social Sciences | 13 | 15% |
Nursing and Health Professions | 9 | 10% |
Psychology | 7 | 8% |
Computer Science | 5 | 6% |
Other | 7 | 8% |
Unknown | 19 | 22% |