Investigating physics learning with layered student interaction networks: Combining time and mode of interaction
Research output: Contribution to conference › Poster › Research › peer-review
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Investigating physics learning with layered student interaction networks : Combining time and mode of interaction. / Bruun, Jesper; Traxler, Adrienne.
2016. Poster session presented at Physics Education Research 2016, Sacramento, United States.Research output: Contribution to conference › Poster › Research › peer-review
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TY - CONF
T1 - Investigating physics learning with layered student interaction networks
T2 - Physics Education Research 2016
AU - Bruun, Jesper
AU - Traxler, Adrienne
PY - 2016/7/22
Y1 - 2016/7/22
N2 - Centrality in student interaction networks (SINs) can be linkedto variables like grades [1], persistence [2], and participation[3]. Recent efforts in the field of network science have beendone to investigate layered - or multiplex - networks asmathematical objects [4]. These networks can be exploredvia centrality measures, which then have to be modified tosuit layered networks. In student interaction networks [1],a node represents aspects of a student, and links representaspects of student interactions. Using longitudinal selfreportedinteractions from Danish university students,this study investigates how target entropy [5,1] and pagerank[6,7] are affected when we take time and modes ofinteraction into account. We present our preliminarymodels and results and outline our future work inthis area.
AB - Centrality in student interaction networks (SINs) can be linkedto variables like grades [1], persistence [2], and participation[3]. Recent efforts in the field of network science have beendone to investigate layered - or multiplex - networks asmathematical objects [4]. These networks can be exploredvia centrality measures, which then have to be modified tosuit layered networks. In student interaction networks [1],a node represents aspects of a student, and links representaspects of student interactions. Using longitudinal selfreportedinteractions from Danish university students,this study investigates how target entropy [5,1] and pagerank[6,7] are affected when we take time and modes ofinteraction into account. We present our preliminarymodels and results and outline our future work inthis area.
M3 - Poster
Y2 - 21 July 2016 through 22 July 2016
ER -
ID: 164113714