TY - GEN
T1 - Automated data analysis to support teacher's knowledge building practice
AU - Jing, Leng
AU - Yuen, Johnny
AU - Wong, Wing
AU - Law, Nancy
AU - Zhang, Yonghe
AU - Allaire, Stéphane
AU - Perreault, Christian
AU - Laferrière, Thérèse
AU - Teplovs, Christopher
PY - 2011
Y1 - 2011
N2 - Incorporating asynchronous online discussions as an integral part of introducing knowledge building (KB) in the formal school curriculum poses significant challenges to teachers. Making sense of the sheer volume of students' postings and identifying appropriate facilitation strategies based on these postings is a daunting, if not impossible task even for experienced teachers. This interactive event show cases the work of two research teams that have been developing tools to address teachers' concerns and researchers' interests on students' participation and idea progression in KB discourses. The approach taken by the team comprising researchers from the Centre for Information Technology in Education (CITE), University of Hong Kong and the Center for Knowledge Engineering (CKE), Beijing Normal University is to develop a web-based discourse analysis tool that can provide various forms of participation statistics as well as automatic coding based on linguistic features. The efforts of the Quebec-based team focuses on the use of lexical analysis, using preset lists of concepts or specialized dictionaries, and visualization of latent semantic analysis results.
AB - Incorporating asynchronous online discussions as an integral part of introducing knowledge building (KB) in the formal school curriculum poses significant challenges to teachers. Making sense of the sheer volume of students' postings and identifying appropriate facilitation strategies based on these postings is a daunting, if not impossible task even for experienced teachers. This interactive event show cases the work of two research teams that have been developing tools to address teachers' concerns and researchers' interests on students' participation and idea progression in KB discourses. The approach taken by the team comprising researchers from the Centre for Information Technology in Education (CITE), University of Hong Kong and the Center for Knowledge Engineering (CKE), Beijing Normal University is to develop a web-based discourse analysis tool that can provide various forms of participation statistics as well as automatic coding based on linguistic features. The efforts of the Quebec-based team focuses on the use of lexical analysis, using preset lists of concepts or specialized dictionaries, and visualization of latent semantic analysis results.
UR - https://www.scopus.com/pages/publications/84863351707
M3 - 会议稿件
AN - SCOPUS:84863351707
SN - 9780578091549
T3 - Connecting Computer-Supported Collaborative Learning to Policy and Practice: CSCL 2011 Conf. Proc. - Community Events Proceedings, 9th International Computer-Supported Collaborative Learning Conf.
SP - 1168
EP - 1169
BT - Connecting Computer-Supported Collaborative Learning to Policy and Practice
T2 - 9th International Computer-Supported Collaborative Learning Conference: Connecting Computer-Supported Collaborative Learning to Policy and Practice, CSCL 2011
Y2 - 4 July 2011 through 8 July 2011
ER -