Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development: A Deep Learning Approach

Robert F. Marinescu-Muster*, Sjoerd A. de Vries, Wouter Vollenbroek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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).
Original languageEnglish
Title of host publicationLudic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education
Subtitle of host publicationProceedings of the 5th International Conference on Smart Learning Ecosystems and Regional Development
EditorsOscar Mealha, Matthias Rehm, Traian Rebedea
Place of PublicationSingapore
PublisherSpringer
Pages197-209
Number of pages13
ISBN (Electronic)978-981-15-7383-5
ISBN (Print)978-981-15-7382-8
DOIs
Publication statusE-pub ahead of print/First online - 10 Sep 2020

Publication series

NameSmart Innovation, Systems and Technologies, SIST
PublisherSpringer
Volume197
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

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