Complex network analysis of teaching practices

Goh, Woon Peng, Kwek, Dennis, Hogan, David and Cheong, Siew Ann (2014) Complex network analysis of teaching practices. EPJ Data Science, 3 1: 1-16. doi:10.1140/epjds/s13688-014-0034-9

Author Goh, Woon Peng
Kwek, Dennis
Hogan, David
Cheong, Siew Ann
Title Complex network analysis of teaching practices
Journal name EPJ Data Science   Check publisher's open access policy
ISSN 2193-1127
Publication date 2014-01-01
Sub-type Article (original research)
DOI 10.1140/epjds/s13688-014-0034-9
Open Access Status DOI
Volume 3
Issue 1
Start page 1
End page 16
Total pages 16
Place of publication Heidelberg, Germany
Publisher SpringerOpen
Language eng
Subject 2611 Modelling and Simulation
1706 Computer Science Applications
2605 Computational Mathematics
Abstract The application of functional analysis to infer networks in large datasets is potentially helpful to experimenters in various fields. In this paper, we develop a technique to construct networks of statistically significant transitions between variable pairs from a high-dimensional and multiscale dataset of teaching practices observed in Grade 5 and Grade 9 Mathematics classes obtained by the National Institute of Education in Singapore. From the Minimum Spanning Trees (MST) and Planar Maximally Filtered Graphs (PMFG) of the transition networks, we establish that teaching knowledge as truth and teacher-dominated talking serve as hubs for teaching practices in Singapore. These practices reflect a transmissionist model of teaching and learning. We also identify complex teacher-student-teacher-student interaction sequences of teaching practices that are over-represented in the data.
Keyword Complex networks
Functional analysis
Teaching practices
Pedagogy theory
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Education Publications
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