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Improving Affect Detection in Game-Based Learning with Multimodal Data Fusion
Accurately recognizing learner affect is critically important for enabling affect-responsive learning environments to support student learning and engagement. Multimodal affect detection combining sensor-based and sensor-free approaches has shown significant promise in both laboratory and classroom...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334173/ http://dx.doi.org/10.1007/978-3-030-52237-7_19 |