Abstract
Learning environments frequently use gamification to enhance user interactions.Virtual characters with whom players engage in simulated conversations often employ prescripted dialogues; however, free user inputs enable deeper immersion and higher-order cognition. In our learning environment, experts developed a scripted scenario as a sequence of potential actions, and we explore possibilities for enhancing interactions by enabling users to type free inputs that are matched to the pre-scripted statements using Natural Language Processing techniques. In this paper, we introduce a clustering mechanism that provides recommendations for fine-tuning the pre-scripted answers in order to better match user inputs.
Original language | English |
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Title of host publication | A Wide Lens |
Subtitle of host publication | Combining Embodied, Enactive, Extended, and Embedded Learning in Collaborative Settings |
Editors | Kristine Lund, Gerald P, Niccolai, Elise Lavoué, Cindy Hmelo-Silver, Gweon Gweon, Michael Baker |
Publisher | International Society of the Learning Sciences |
Pages | 877-878 |
Number of pages | 2 |
Volume | 2 |
ISBN (Print) | 978-1-7324672-4-8 |
Publication status | Published - 21 Jun 2019 |
Event | 13th International Conference on Computer Supported Collaborative Learning - Monod Campus, Lyon, France Duration: 17 Jun 2019 → 21 Jun 2019 Conference number: 13 |
Conference
Conference | 13th International Conference on Computer Supported Collaborative Learning |
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Country/Territory | France |
City | Lyon |
Period | 17/06/19 → 21/06/19 |