TY - JOUR
T1 - Assessing collaborative undergraduate student wikis and SVN with technology-based instrumentation
T2 - Relating participation patterns to learning
AU - Shaw, Erin
AU - Kim, Jihie
AU - Kang, Jeon Hyung
PY - 2011
Y1 - 2011
N2 - In summary, the usage of the wiki did not correlate to performance in the courses that we analyzed. Contributing factors include a lack of instructional emphasis on its use (in part because wiki usage was thought too complex for the instructional staff to assess) and studentreported difficulty using the tool for frequent updates and team-coordination activities. By looking at the use of tools and the influence of community, we discovered that metrics like VCS activity, team manager assessments, and team document generation might be used as measures to assess team progress. The results suggest that the collaboration might be helped by using a different wiki or project management system, and if the collaborative process is to be assessed, the tool must be enforced for good quantitative measurement results. Future work would involve analyzing the content of wiki and VCS systems using natural language processing and data mining to create qualitative metrics that can help better assessment of collaboration and learning.
AB - In summary, the usage of the wiki did not correlate to performance in the courses that we analyzed. Contributing factors include a lack of instructional emphasis on its use (in part because wiki usage was thought too complex for the instructional staff to assess) and studentreported difficulty using the tool for frequent updates and team-coordination activities. By looking at the use of tools and the influence of community, we discovered that metrics like VCS activity, team manager assessments, and team document generation might be used as measures to assess team progress. The results suggest that the collaboration might be helped by using a different wiki or project management system, and if the collaborative process is to be assessed, the tool must be enforced for good quantitative measurement results. Future work would involve analyzing the content of wiki and VCS systems using natural language processing and data mining to create qualitative metrics that can help better assessment of collaboration and learning.
UR - http://www.scopus.com/inward/record.url?scp=85029058375&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85029058375
SN - 2153-5965
JO - ASEE Annual Conference and Exposition, Conference Proceedings
JF - ASEE Annual Conference and Exposition, Conference Proceedings
ER -