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

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

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

17 Citationer (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.

OriginalsprogEngelsk
TitelLAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge
Antal sider5
ForlagAssociation for Computing Machinery
Publikationsdato7 mar. 2018
Sider126-130
ISBN (Elektronisk)978-1-4503-6400-3
DOI
StatusUdgivet - 7 mar. 2018
BegivenhedLearning analytics and knowledge conference 2018 - Sydney, Australien
Varighed: 5 mar. 20189 mar. 2018
https://latte-analytics.sydney.edu.au

Konference

KonferenceLearning analytics and knowledge conference 2018
Land/OmrådeAustralien
BySydney
Periode05/03/201809/03/2018
Internetadresse

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