TY - GEN
T1 - Beyond traditional metrics
T2 - 3rd Annual ACM Conference on Learning at Scale, L@S 2016
AU - Nacu, Denise
AU - Martin, Caitlin K.
AU - Schutzenhofer, Michael
AU - Pinkard, Nichole
PY - 2016/4/25
Y1 - 2016/4/25
N2 - While log analysis in massively open online courses and other online learning environments has mainly focused on traditional measures, such as completion rates and views of course content, research is responding to calls for analytic frameworks that are more reflective of social learning models. We introduce a generalizable approach to automatically code log data that highlights educator support roles and student actions that are consistent with recent conceptualizations of 21st century learning, such as creative production, self-directed learning, and social learning. Here, we describe details of a log-coding framework that builds from prior mixed method studies of the use of iRemix, an online social learning network, by middle school youth and adult educators in blended learning contexts.
AB - While log analysis in massively open online courses and other online learning environments has mainly focused on traditional measures, such as completion rates and views of course content, research is responding to calls for analytic frameworks that are more reflective of social learning models. We introduce a generalizable approach to automatically code log data that highlights educator support roles and student actions that are consistent with recent conceptualizations of 21st century learning, such as creative production, self-directed learning, and social learning. Here, we describe details of a log-coding framework that builds from prior mixed method studies of the use of iRemix, an online social learning network, by middle school youth and adult educators in blended learning contexts.
KW - 21st century learning
KW - Educational data mining
KW - Log analysis
KW - Online learning
KW - Teaching roles
UR - http://www.scopus.com/inward/record.url?scp=84969917173&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84969917173&partnerID=8YFLogxK
U2 - 10.1145/2876034.2893413
DO - 10.1145/2876034.2893413
M3 - Conference contribution
AN - SCOPUS:84969917173
T3 - L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale
SP - 197
EP - 200
BT - L@S 2016 - Proceedings of the 3rd 2016 ACM Conference on Learning at Scale
PB - Association for Computing Machinery, Inc
Y2 - 25 April 2016 through 26 April 2016
ER -