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).
|Title of host publication||Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education|
|Subtitle of host publication||Proceedings of the 5th International Conference on Smart Learning Ecosystems and Regional Development|
|Editors||Oscar Mealha, Matthias Rehm, Traian Rebedea|
|Place of Publication||Singapore|
|Number of pages||13|
|Publication status||E-pub ahead of print/First online - 10 Sep 2020|
|Name||Smart Innovation, Systems and Technologies, SIST|