TY - GEN
T1 - Identifying unresolved issues in online student discussions
T2 - A multi-phase dialogue classification approach
AU - Kim, Jihie
AU - Kim, Taehwan
AU - Li, Jia
PY - 2009
Y1 - 2009
N2 - Automatic tools for analyzing student online discussions are highly desirable for providing better assistance and encouraging participation. This paper presents an approach for automatically identifying student discussions with unresolved issues or unanswered questions. We apply a two-phase classification algorithm. First, we classify "speech acts" of individual messages to identify the roles that the messages play, such as question, answer, issue raising, or acknowledgement. We then use the resulting speech acts as features for identifying discussion threads with unresolved issues or questions. We performed a preliminary analysis of the classifiers and achieved an average accuracy of 78%.
AB - Automatic tools for analyzing student online discussions are highly desirable for providing better assistance and encouraging participation. This paper presents an approach for automatically identifying student discussions with unresolved issues or unanswered questions. We apply a two-phase classification algorithm. First, we classify "speech acts" of individual messages to identify the roles that the messages play, such as question, answer, issue raising, or acknowledgement. We then use the resulting speech acts as features for identifying discussion threads with unresolved issues or questions. We performed a preliminary analysis of the classifiers and achieved an average accuracy of 78%.
KW - Discussion assessment
KW - On-line discussion board
KW - Speech acts
UR - http://www.scopus.com/inward/record.url?scp=73149114658&partnerID=8YFLogxK
U2 - 10.3233/978-1-60750-028-5-704
DO - 10.3233/978-1-60750-028-5-704
M3 - Conference contribution
AN - SCOPUS:73149114658
SN - 9781607500285
T3 - Frontiers in Artificial Intelligence and Applications
SP - 704
EP - 706
BT - Frontiers in Artificial Intelligence and Applications
PB - IOS Press
ER -