Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development: A Deep Learning Approach
| Autor: | Marinescu-Muster, Robert F., de Vries, Sjoerd A., Vollenbroek, Wouter, Mealha, Oscar, Rehm, Matthias, Rebedea, Traian |
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| Přispěvatelé: | Communication Science |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education: Proceedings of the 5th International Conference on Smart Learning Ecosystems and Regional Development, 197-209 STARTPAGE=197;ENDPAGE=209;TITLE=Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education |
| Popis: | Our data-driven intelligent tutoring system presents promising results in supporting and accelerating the skills acquiring process. For example, mapping of the common latent variables enables the instructors and curricula designers to understand better the relationships between different exercise items and thus to create improved training scenarios. The case study results also reveal significant improvements in accelerating the process of training welders: participants gradually started to improve their welding skills after only 15 trials (approximately 1 hour of training using the system). |
| Databáze: | OpenAIRE |
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