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

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

doi:10.1145/3170358.3170414

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

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

The Center for Applied Game Research

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

17 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 language	English
Title of host publication	LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge
Number of pages	5
Publisher	Association for Computing Machinery
Publication date	7 Mar 2018
Pages	126-130
ISBN (Electronic)	978-1-4503-6400-3
DOIs	https://doi.org/10.1145/3170358.3170414
Publication status	Published - 7 Mar 2018
Event	Learning analytics and knowledge conference 2018 - Sydney, Australia Duration: 5 Mar 2018 → 9 Mar 2018 https://latte-analytics.sydney.edu.au

Conference

Conference	Learning analytics and knowledge conference 2018
Country/Territory	Australia
City	Sydney
Period	05/03/2018 → 09/03/2018
Internet address	https://latte-analytics.sydney.edu.au

Keywords

Epistemic network analysis
Formative
Pedagogical learning analytics
Student assignment
Summative assessment

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10.1145/3170358.3170414

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Fougt, S. S., Siebert-Evenstone, A., Eagan, B., Tabatabai, S., & Misfeldt, M. (2018). Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation. In LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge (pp. 126-130). Association for Computing Machinery. https://doi.org/10.1145/3170358.3170414

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title = "Epistemic Network Analysis of Students{\textquoteright} Longer Written Assignments as Formative/Summative Evaluation",

abstract = "This paper reports on an exploratory trial of developing pedagogical visualizations of 16 students{\textquoteright} 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.",

keywords = "Epistemic network analysis, Formative, Pedagogical learning analytics, Student assignment, Summative assessment",

author = "Fougt, {Simon Skov} and Amanda Siebert-Evenstone and Brendan Eagan and Sara Tabatabai and Morten Misfeldt",

year = "2018",

month = mar,

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doi = "10.1145/3170358.3170414",

language = "English",

pages = "126--130",

booktitle = "LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge",

publisher = "Association for Computing Machinery",

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note = "Learning analytics and knowledge conference 2018 ; Conference date: 05-03-2018 Through 09-03-2018",

url = "https://latte-analytics.sydney.edu.au",

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Fougt, SS, Siebert-Evenstone, A, Eagan, B, Tabatabai, S & Misfeldt, M 2018, Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation. in LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. Association for Computing Machinery, pp. 126-130, Learning analytics and knowledge conference 2018, Sydney, Australia, 05/03/2018. https://doi.org/10.1145/3170358.3170414

Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation. / Fougt, Simon Skov; Siebert-Evenstone, Amanda; Eagan, Brendan et al.
LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. Association for Computing Machinery, 2018. p. 126-130.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation

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AU - Siebert-Evenstone, Amanda

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AU - Tabatabai, Sara

AU - Misfeldt, Morten

PY - 2018/3/7

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N2 - 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.

AB - 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.

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KW - Formative

KW - Pedagogical learning analytics

KW - Student assignment

KW - Summative assessment

UR - https://latte-analytics.sydney.edu.au/accepted-papers/#fullpaper

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DO - 10.1145/3170358.3170414

M3 - Article in proceeding

SP - 126

EP - 130

BT - LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge

PB - Association for Computing Machinery

T2 - Learning analytics and knowledge conference 2018

Y2 - 5 March 2018 through 9 March 2018

ER -

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

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