Enhancing multimodal learning through personalized gesture recognition.
Abstract: Gestural recognition systems are important tools for leveraging movement‐based interactions in multimodal learning environments but personalizing these interactions has proven difficult. We offer an adaptable model that uses multimodal analytics, enabling students to define their physical...
| Publicado en: | Journal of Computer Assisted Learning Vol. 34; no. 4; pp. 350 - 358 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Aug2018
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| Acceso en línea: | Ver este registro en EBSCOhost |