• Refine Query
  • Source
  • Publication year
  • to
  • Language
  • No language data
  • Tagged with
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

EVALUATING THE USE OF SECOND LIFE<sup>TM</sup> FOR VIRTUAL TEAM-BASED LEARNING IN AN ONLINE UNDERGRADUATE ANATOMY COURSE

Gazave, Christena 01 January 2016 (has links)
Team-based learning (TBL) is one strategy for improving team-work and critical thinking skills. It has proven to be an engaging teaching pedagogy in face-to-face classes, however, to our knowledge, has never been implemented online in a 3-D virtual world. We implemented virtual TBLs in an online undergraduate anatomy course using Second LifeTM, and evaluated whether it engaged students. This study was conducted over 2 semesters with 39 total students. Surveys and content analysis of transcripts were used to evaluate student engagement. Our results indicate virtual TBLs were engaging for most students. The average engagement score was 7.8 out of 10 with 89.2% of students reporting a score of 6 or above. Students exhibited high levels of cognitive engagement during the clinical application portion of the TBL process. Males felt more emotionally engaged than females, however, most measures of engagement indicated no differences between groups of students (mode of communication, previous technology experience, gender, and performance); therefore, virtual TBLs may be engaging for a broad range of students. 95% of students agreed that this was a worthwhile experience. In light of this evidence, we feel that virtual TBL sessions are valuable, and could be implemented in other online courses.

Page generated in 0.0437 seconds