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

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

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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.

Type: Proceedings paper
Title: Using Graph-based Modelling to explore changes in students’ affective states during exploratory learning tasks
Event: 10th International Conference on Educational Data Mining
Location: China, Wuhan
Dates: 25th-28th June 2018
Open access status: An open access version is available from UCL Discovery
Publisher version: http://educationaldatamining.org/EDM2017/proceedin...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education
UCL > Provost and Vice Provost Offices > School of Education > UCL Institute of Education > IOE - Culture, Communication and Media
URI: http://discovery.ucl.ac.uk/id/eprint/10067498
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