TY - GEN
T1 - Uncovering what matters
T2 - 4th International Conference on Learning Analytics and Knowledge, LAK 2014
AU - Chen, Bodong
AU - Resendes, Monica
PY - 2014
Y1 - 2014
N2 - Temporality matters for analysis of collaborative learning. The present study attempts to uncover temporal patterns that distinguish \productive" threads of knowledge building inquiry. Using a rich knowledge building discourse dataset, in which notes' contribution types and threads' productivity have been coded, a secondary temporal analysis was conducted. In particular, Lag-sequential Analysis was conducted to identify transitional patterns among different contribution types that distinguish productive threads from\improvable" ones. Results indicated that productive inquiry threads involved significantly more transitions among questioning, theorizing, obtaining information, and working with information; in contrast, responding to questions and theories by merely giving opinions was not sufficient to achieve knowledge progress. This study highlights the importance of investigating temporality in collaborative learning and calls for attention to developing and testing temporal analysis methods in learning analytics research.
AB - Temporality matters for analysis of collaborative learning. The present study attempts to uncover temporal patterns that distinguish \productive" threads of knowledge building inquiry. Using a rich knowledge building discourse dataset, in which notes' contribution types and threads' productivity have been coded, a secondary temporal analysis was conducted. In particular, Lag-sequential Analysis was conducted to identify transitional patterns among different contribution types that distinguish productive threads from\improvable" ones. Results indicated that productive inquiry threads involved significantly more transitions among questioning, theorizing, obtaining information, and working with information; in contrast, responding to questions and theories by merely giving opinions was not sufficient to achieve knowledge progress. This study highlights the importance of investigating temporality in collaborative learning and calls for attention to developing and testing temporal analysis methods in learning analytics research.
KW - Collaborative learning
KW - Discourse analysis
KW - Evidence-based research
KW - Knowledge building
KW - Lag-sequential analysis
KW - Sequential analysis
KW - Temporal analysis
UR - http://www.scopus.com/inward/record.url?scp=84898770409&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84898770409&partnerID=8YFLogxK
U2 - 10.1145/2567574.2567606
DO - 10.1145/2567574.2567606
M3 - Conference contribution
AN - SCOPUS:84898770409
SN - 1595930361
SN - 9781595930361
T3 - ACM International Conference Proceeding Series
SP - 226
EP - 230
BT - LAK 2014
PB - Association for Computing Machinery
Y2 - 24 March 2014 through 28 March 2014
ER -