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Combining Discussion Data with NLP Approaches to Better Understand Engagement in a Socio-Digital Platform

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study combines discussion data and natural language processing (NLP) approaches to examine if the language students produce in online discussions is an indication of their engagement with the content and their peers in a socio-digital platform. We coded 2805 posts from the platform for an undergraduate information sciences and technology course. The findings show what NLP indices are indicative of engagement level of students.

Original languageEnglish (US)
Title of host publicationISLS Annual Meeting 2023
Subtitle of host publicationBuilding Knowledge and Sustaining our Community - 16th International Conference on Computer-Supported Collaborative Learning, CSCL 2023 - Proceedings
EditorsCrina Damsa, Marcela Borge, Elizabeth Koh, Marcelo Worsley
PublisherInternational Society of the Learning Sciences (ISLS)
Pages406-407
Number of pages2
ISBN (Electronic)9781737330684
StatePublished - 2023
Event16th International Conference on Computer-Supported Collaborative Learning, CSCL 2023 - Montreal, Canada
Duration: Jun 10 2023Jun 15 2023

Publication series

NameProceedings of International Conference of the Learning Sciences, ICLS
Volume2023-June
ISSN (Print)1814-9316

Conference

Conference16th International Conference on Computer-Supported Collaborative Learning, CSCL 2023
Country/TerritoryCanada
CityMontreal
Period6/10/236/15/23

All Science Journal Classification (ASJC) codes

  • Computer Science (miscellaneous)
  • Education

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