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

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation. / Fougt, Simon Skov; Siebert-Evenstone, Amanda; Eagan, Brendan; Tabatabai, Sara; Misfeldt, Morten.

LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. United States : ASSOCIATION FOR COMPUTING MACHINERY. JOU, 2018. s. 126-130.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Fougt, SS, Siebert-Evenstone, A, Eagan, B, Tabatabai, S & Misfeldt, M 2018, Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation. i LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. ASSOCIATION FOR COMPUTING MACHINERY. JOU, United States, s. 126-130. https://doi.org/10.1145/3170358.3170414

APA

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. I LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge (s. 126-130). ASSOCIATION FOR COMPUTING MACHINERY. JOU. https://doi.org/10.1145/3170358.3170414

Vancouver

Fougt SS, Siebert-Evenstone A, Eagan B, Tabatabai S, Misfeldt M. Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation. I LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. United States: ASSOCIATION FOR COMPUTING MACHINERY. JOU. 2018. s. 126-130 https://doi.org/10.1145/3170358.3170414

Author

Fougt, Simon Skov ; Siebert-Evenstone, Amanda ; Eagan, Brendan ; Tabatabai, Sara ; Misfeldt, Morten. / Epistemic Network Analysis of Students’ Longer Written Assignments as Formative/Summative Evaluation. LAK '18 Proceedings of the 8th International Conference on Learning Analytics and Knowledge. United States : ASSOCIATION FOR COMPUTING MACHINERY. JOU, 2018. s. 126-130

Bibtex

@inproceedings{0a696f3e2c9e4493a4f22adf7884da50,
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,
day = "7",
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. JOU",

}

RIS

TY - GEN

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

AU - Fougt, Simon Skov

AU - Siebert-Evenstone, Amanda

AU - Eagan, Brendan

AU - Tabatabai, Sara

AU - Misfeldt, Morten

PY - 2018/3/7

Y1 - 2018/3/7

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.

KW - Epistemic network analysis

KW - Formative

KW - Pedagogical learning analytics

KW - Student assignment

KW - Summative assessment

U2 - 10.1145/3170358.3170414

DO - 10.1145/3170358.3170414

M3 - Article in proceedings

SP - 126

EP - 130

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

PB - ASSOCIATION FOR COMPUTING MACHINERY. JOU

CY - United States

ER -

ID: 228084581