@inbook{d448ffb773344ca8a05bda25a1123fd9,
title = "Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development: A Deep Learning Approach",
abstract = "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).",
keywords = "22/2 OA procedure",
author = "Marinescu-Muster, {Robert F.} and {de Vries}, {Sjoerd A.} and Wouter Vollenbroek",
year = "2021",
doi = "10.1007/978-981-15-7383-5",
language = "English",
isbn = "978-981-15-7382-8",
series = "Smart Innovation, Systems and Technologies, SIST",
publisher = "Springer",
pages = "197--209",
editor = "Oscar Mealha and Matthias Rehm and Traian Rebedea",
booktitle = "Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education",
address = "Netherlands",
}