Developing Course Materials on Epistemic Network Analysis

5c938d9361fb01219a6c0b05_network pic kamila webpage.jpg (3456×2304)

Epistemic Network Analysis (ENA) is an innovative method for modeling and comparing the structure of connections between elements in coded data. The method has been developed by Professor David Shaffer and his group at the Department of Educational Psychology, University of Wisconsin-Madison, and is gaining popularity among learning analytics researchers. ENA both visualizes data as networks and enables a statistical comparison of the networks. ENA has been used to explore the communication patterns of trauma teams, to analyze the eye-tracking data during collaborative learning, and to visualize competencies and topics across grades in a mathematics curriculum, just to name a few examples. SLATE PhD student Kamila Misiejuk has been developing course material for use in ENA workshops and conducting workshops on ENA. The course materials include:

  • theoretical material (explaining ENA, step-by-step)
  • tutorial material (introducing features of the ENA web tool), and
  • group work activities (put new acquired skills into practice)

Project Period:

July 2018 - ongoing

Project Period:

January 2018

Funded By:

Project Leader:

Kamila Misiejuk

Project Members:

Project Partners:

More Relevant Projects

‍Visiting Address:

Vektergården, Christiesgate 13, 3rd floor

Postal Address:

University of Bergen
PO Box 7807
N-5020 Bergen, Norway