Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation

Simon Skov Fougt, Amanda Siebert-Evenstone, Brendan Eagan, Sara Tabatabai, Morten Misfeldt

4 Citations (Scopus)

Abstract

This paper reports on an exploratory trial of developing pedagogical visualizations of 16 students’ written assignments on literary analysis using two sets of keywords and Epistemic Network Analysis (ENA). The visualizations are aimed at summative evaluation as a tool for the professor to support assessment and understanding of subject learning. Results show that ENA can visually distinguish low, middle and high performing students, but not statistically significantly. Thus, our trial provides a tool for the professor that supports understanding of subject learning and formative assessment.
Original languageEnglish
Title of host publicationLAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge
Number of pages5
Place of PublicationUnited States
PublisherASSOCIATION FOR COMPUTING MACHINERY. JOU
Publication date7 Mar 2018
Pages126-130
DOIs
Publication statusPublished - 7 Mar 2018
Externally publishedYes

Keywords

  • Epistemic network analysis
  • Formative
  • Pedagogical learning analytics
  • Student assignment
  • Summative assessment

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