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

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

doi:10.1007/978-981-15-7383-5

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

Communication Science

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-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 language	English
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
Publisher	Springer
Pages	197-209
Number of pages	13
ISBN (Electronic)	978-981-15-7383-5
ISBN (Print)	978-981-15-7382-8
DOIs	https://doi.org/10.1007/978-981-15-7383-5
Publication status	E-pub ahead of print/First online - 10 Sep 2020

Publication series

Name	Smart Innovation, Systems and Technologies, SIST
Publisher	Springer
Volume	197
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

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Marinescu-Muster, R. F., de Vries, S. A., & Vollenbroek, W. (2020). Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development: A Deep Learning Approach. In O. Mealha, M. Rehm, & T. Rebedea (Eds.), 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 (pp. 197-209). (Smart Innovation, Systems and Technologies, SIST; Vol. 197). Springer. https://doi.org/10.1007/978-981-15-7383-5

Marinescu-Muster, Robert F. ; de Vries, Sjoerd A. ; Vollenbroek, Wouter. / Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development : A Deep Learning Approach. 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. editor / Oscar Mealha ; Matthias Rehm ; Traian Rebedea. Singapore : Springer, 2020. pp. 197-209 (Smart Innovation, Systems and Technologies, SIST).

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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).",

author = "Marinescu-Muster, {Robert F.} and {de Vries}, {Sjoerd A.} and Wouter Vollenbroek",

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Marinescu-Muster, RF , de Vries, SA & Vollenbroek, W 2020, Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development: A Deep Learning Approach. in O Mealha, M Rehm & T Rebedea (eds), 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. Smart Innovation, Systems and Technologies, SIST, vol. 197, Springer, Singapore, pp. 197-209. https://doi.org/10.1007/978-981-15-7383-5

Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development : A Deep Learning Approach. / Marinescu-Muster, Robert F.; de Vries, Sjoerd A.; Vollenbroek, Wouter.

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. ed. / Oscar Mealha; Matthias Rehm; Traian Rebedea. Singapore : Springer, 2020. p. 197-209 (Smart Innovation, Systems and Technologies, SIST; Vol. 197).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

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PY - 2020/9/10

Y1 - 2020/9/10

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AB - 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).

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Marinescu-Muster RF , de Vries SA, Vollenbroek W. Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development: A Deep Learning Approach. In Mealha O, Rehm M, Rebedea T, editors, 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. Singapore: Springer. 2020. p. 197-209. (Smart Innovation, Systems and Technologies, SIST). https://doi.org/10.1007/978-981-15-7383-5