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

1 Citation (Scopus)

138 Downloads (Pure)

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	Published - 2021
Event	5th International Conference on Smart Learning Ecosystems and Regional Development 2020 - București, Romania Duration: 25 May 2020 → 27 May 2020 Conference number: 5

Publication series

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

Conference

Conference	5th International Conference on Smart Learning Ecosystems and Regional Development 2020
Country/Territory	Romania
City	București
Period	25/05/20 → 27/05/20

Keywords

22/2 OA procedure

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-15-7383-5

Marinescu2021data-drivenFinal published version, 441 KBLicence: Taverne

Cite this

Marinescu-Muster, R. F., de Vries, S. A., & Vollenbroek, W. (2021). 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, 2021. pp. 197-209 (Smart Innovation, Systems and Technologies, SIST).

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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",

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editor = "Oscar Mealha and Matthias Rehm and Traian Rebedea",

booktitle = "Ludic, Co-design and Tools Supporting Smart Learning Ecosystems and Smart Education",

address = "Germany",

note = "5th International Conference on Smart Learning Ecosystems and Regional Development 2020 ; Conference date: 25-05-2020 Through 27-05-2020",

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Marinescu-Muster, RF , de Vries, SA & Vollenbroek, W 2021, 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, 5th International Conference on Smart Learning Ecosystems and Regional Development 2020, București, Romania, 25/05/20. 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, 2021. 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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T1 - Data-Driven Intelligent Tutoring System for Accelerating Practical Skills Development

T2 - 5th International Conference on Smart Learning Ecosystems and Regional Development 2020

AU - Marinescu-Muster, Robert F.

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AU - Vollenbroek, Wouter

N1 - Conference code: 5

PY - 2021

Y1 - 2021

N2 - 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).

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).

KW - 22/2 OA procedure

U2 - 10.1007/978-981-15-7383-5

DO - 10.1007/978-981-15-7383-5

M3 - Chapter

SN - 978-981-15-7382-8

T3 - Smart Innovation, Systems and Technologies, SIST

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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. 2021. p. 197-209. (Smart Innovation, Systems and Technologies, SIST). Epub 2020 Sept 10. doi: 10.1007/978-981-15-7383-5

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

Abstract

Publication series

Conference

Keywords

UN SDGs

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Cite this