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2018 | OriginalPaper | Buchkapitel

Towards Combined Network and Text Analytics of Student Discourse in Online Discussions

verfasst von : Rafael Ferreira, Vitomir Kovanović, Dragan Gašević, Vitor Rolim

Erschienen in: Artificial Intelligence in Education

Verlag: Springer International Publishing

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Abstract

This paper presents a novel method for the evaluation of students’ use of asynchronous discussions in online learning environments. In particular, the paper shows how students’ cognitive development across different course topics can be examined using the combination of natural language processing and graph-based analysis techniques. Drawing on the theoretical foundation of the community of inquiry model, we show how topic modeling and epistemic network analysis can provide qualitatively new insight into students’ development of critical and deep thinking skills. We also show how the same method can be used to investigate the effectiveness of instructional interventions and its effect on student learning. The results of this study and its practical implications are further discussed.

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Metadaten
Titel
Towards Combined Network and Text Analytics of Student Discourse in Online Discussions
verfasst von
Rafael Ferreira
Vitomir Kovanović
Dragan Gašević
Vitor Rolim
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-93843-1_9

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