Using graph-based modelling to explore changes in students’ affective states during exploratory learning tasks
| Autor: | Beate Grawemeyer, Alex Wollenschlaeger, Sergio Gutierrez-Santos, Wayne Holmes, Manolis Mavrikis, Alexandra Poulovassilis |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | 3rd International Workshop on Graph-based Educational Data Mining (GEDM 2017), at EDM 2017 Educational Data Mining Conference (EDM) 2017 Educational Data Mining Coventry University |
| Popis: | This paper describes how graph-based modelling can be used to explore interactions associated with a change in students' affective state when they are working with an exploratory learning environment (ELE). We report on a user study with an ELE that is able to detect students' affective states from their interactions and speech. The data collected during the user study was modelled, visualized and queried as a graph. We were interested in exploring if there was a difference between low- and high-performing students in the kinds of interactions that occurred during a change in their affective state. 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. |
| Databáze: | OpenAIRE |
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