Using Graph-based Modelling to explore changes in students’ affective states during exploratory learning tasks

Beate Grawemeyer, Alex Wollenschlaeger, Sergio Gutierrez-Santos, Wayne Holmes, Manolis Mavrikis, Alexandra Poulovassilis

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

1 Citation (Scopus)

Abstract

We describe a graph-based modelling approach to exploring interactions associated with a change in students’ affective state when they are working with an exploratory learning environment (ELE). Student-system interactions data collected during a user study was modelled, visualized and queried as a graph. Our findings provide new insights into how students are interacting with the ELE and the effects of the system’s interventions on students’ affective states.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Educational Data Mining, EDM 2017
EditorsXiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette
PublisherInternational Educational Data Mining Society
Pages382-383
Number of pages2
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event10th International Conference on Educational Data Mining, EDM 2017 - Wuhan, China
Duration: 25 Jun 201728 Jun 2017

Conference

Conference10th International Conference on Educational Data Mining, EDM 2017
CountryChina
CityWuhan
Period25/06/1728/06/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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  • Cite this

    Grawemeyer, B., Wollenschlaeger, A., Gutierrez-Santos, S., Holmes, W., Mavrikis, M., & Poulovassilis, A. (2017). Using Graph-based Modelling to explore changes in students’ affective states during exploratory learning tasks. In X. Hu, T. Barnes, A. Hershkovitz, & L. Paquette (Eds.), Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017 (pp. 382-383). International Educational Data Mining Society.