PERC 2016 Abstract Detail Page
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| Abstract Title: | Investigating physics learning with layered student interaction networks: Combining time and modes of interaction |
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| Abstract: | Network analysis has previously been employed to show that centrality in student interaction networks can predict future grades. However, previous analyses have only been employed on isolated categories of student interactions which have been summed over time. In this study we use multiplex (layered) networks to relax these constraints. Within a week, we now allow bidirectional links between the same student as represented in two different layers, for example a layer representing problem solving interactions and another representing conceptual discussion, to model how these layers may interact. Likewise, we allow links from a student as represented in a network at time, t, and the same student in the network for time, t+1. The nature of links between network layers is different from the original links and thus need a theoretically based model. These models may yield insights into the interplay between categories of interaction into the significance of time development. |
| Abstract Type: | Symposium Poster |
| Parallel Session: | Network Analysis in Physics Education Research |
Author/Organizer Information | |
| Primary Contact: |
Jesper Bruun Institut for Naturfagenes Didaktik |
