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Using Tablet PCs and DyKnow Vision to Enhance Student Engagement in a Human Anatomy Class
Author(s) -
Lafontant Pascal J
Publication year - 2009
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.23.1_supplement.479.2
Subject(s) - class (philosophy) , likert scale , session (web analytics) , comprehension , blackboard (design pattern) , human anatomy , science class , perception , multimedia , point (geometry) , computer science , medical education , psychology , mathematics education , medicine , anatomy , world wide web , artificial intelligence , science education , mathematics , developmental psychology , geometry , neuroscience , programming language
Keeping students engaged in human anatomy classes is a significant challenge. To increase students' active learning and facilitate understanding of material, Tablet PCs running the software DyKnow Vision were introduced in a human anatomy class. Tablet PCs and DyKnow Vision were specifically used to create a virtual blackboard for the identification and discussion of anatomical structures. Anatomical illustrations from the primary text used in the class were routinely imported and saved as DyKnow Vision files. Students were then provided with DyKnow panels of unlabeled structures to identify and label using digital ink. The labeled panels were submitted, reviewed, corrected with the class' participation, and appended to the class session. To assess students' level of engagement, their attitudes and perceptions of the effectiveness of the Tablet PCs/DyKnow as a pedagogical tool, an anonymous survey using a 5 point Likert scale was completed by students. Results strongly suggest that the Tablet PCs/DyKnow combination made the class enjoyable, enhanced students' comprehension of content, and had an overall positive impact on their learning of human anatomy. Funding: DePauw University