Best Practices in Teaching Digitization and Process Automation - A Case Study of Warsaw University of Technology

Wojtachnik Robert; Gavkalova Nataliia; Krawiec Jerzy; Martin John

doi:10.1007/978-3-031-97573-8_17

Best Practices in Teaching Digitization and Process Automation - A Case Study of Warsaw University of Technology

Wojtachnik Robert, Gavkalova Nataliia, Krawiec Jerzy, Martin John

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review

Abstract

This article examines recent advancements in the use of Artificial Intelligence (AI) for automation and robotics, highlighting efficiency gains across sectors. It reviews key trends, including robotic process automation in different areas and compares AI implementation frameworks such as MLOps and DevOps. The study presents educational approaches to teaching automation at Warsaw University of Technology, detailing project structures, tools and practical outcomes. Quantitative results on time savings are discussed in relation to existing research. The paper concludes with insights on incorporating AI into education to better prepare students for the digital future.

Original language	English
Title of host publication	Computational Science – ICCS 2025 Workshops - 25th International Conference, 2025, Proceedings
Pages	239-253
Number of pages	15
DOIs	https://doi.org/10.1007/978-3-031-97573-8_17
Publication status	Published - 2025
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science
Volume	15912 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Keywords

Low/Zero-Code platforms
MLOps and DevOps
Warsaw University of Technology
automation
digitization

UN SDGs

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

Access to Document

10.1007/978-3-031-97573-8_17

Cite this

Robert, W., Nataliia, G., Jerzy, K., & John, M. (2025). Best Practices in Teaching Digitization and Process Automation - A Case Study of Warsaw University of Technology. In Computational Science – ICCS 2025 Workshops - 25th International Conference, 2025, Proceedings (pp. 239-253). (Lecture Notes in Computer Science; Vol. 15912 LNCS). https://doi.org/10.1007/978-3-031-97573-8_17

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title = "Best Practices in Teaching Digitization and Process Automation - A Case Study of Warsaw University of Technology",

abstract = "This article examines recent advancements in the use of Artificial Intelligence (AI) for automation and robotics, highlighting efficiency gains across sectors. It reviews key trends, including robotic process automation in different areas and compares AI implementation frameworks such as MLOps and DevOps. The study presents educational approaches to teaching automation at Warsaw University of Technology, detailing project structures, tools and practical outcomes. Quantitative results on time savings are discussed in relation to existing research. The paper concludes with insights on incorporating AI into education to better prepare students for the digital future.",

keywords = "Low/Zero-Code platforms, MLOps and DevOps, Warsaw University of Technology, automation, digitization",

author = "Wojtachnik Robert and Gavkalova Nataliia and Krawiec Jerzy and Martin John",

year = "2025",

doi = "10.1007/978-3-031-97573-8\_17",

language = "English",

isbn = "9783031975721",

series = "Lecture Notes in Computer Science",

pages = "239--253",

booktitle = "Computational Science – ICCS 2025 Workshops - 25th International Conference, 2025, Proceedings",

}

Robert, W, Nataliia, G, Jerzy, K & John, M 2025, Best Practices in Teaching Digitization and Process Automation - A Case Study of Warsaw University of Technology. in Computational Science – ICCS 2025 Workshops - 25th International Conference, 2025, Proceedings. Lecture Notes in Computer Science, vol. 15912 LNCS, pp. 239-253. https://doi.org/10.1007/978-3-031-97573-8_17

Best Practices in Teaching Digitization and Process Automation - A Case Study of Warsaw University of Technology. / Robert, Wojtachnik; Nataliia, Gavkalova; Jerzy, Krawiec et al.
Computational Science – ICCS 2025 Workshops - 25th International Conference, 2025, Proceedings. 2025. p. 239-253 (Lecture Notes in Computer Science; Vol. 15912 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings published in a book › peer-review

TY - GEN

T1 - Best Practices in Teaching Digitization and Process Automation - A Case Study of Warsaw University of Technology

AU - Robert, Wojtachnik

AU - Nataliia, Gavkalova

AU - Jerzy, Krawiec

AU - John, Martin

PY - 2025

Y1 - 2025

N2 - This article examines recent advancements in the use of Artificial Intelligence (AI) for automation and robotics, highlighting efficiency gains across sectors. It reviews key trends, including robotic process automation in different areas and compares AI implementation frameworks such as MLOps and DevOps. The study presents educational approaches to teaching automation at Warsaw University of Technology, detailing project structures, tools and practical outcomes. Quantitative results on time savings are discussed in relation to existing research. The paper concludes with insights on incorporating AI into education to better prepare students for the digital future.

AB - This article examines recent advancements in the use of Artificial Intelligence (AI) for automation and robotics, highlighting efficiency gains across sectors. It reviews key trends, including robotic process automation in different areas and compares AI implementation frameworks such as MLOps and DevOps. The study presents educational approaches to teaching automation at Warsaw University of Technology, detailing project structures, tools and practical outcomes. Quantitative results on time savings are discussed in relation to existing research. The paper concludes with insights on incorporating AI into education to better prepare students for the digital future.

KW - Low/Zero-Code platforms

KW - MLOps and DevOps

KW - Warsaw University of Technology

KW - automation

KW - digitization

UR - https://doi.org/10.1007/978-3-031-97573-8_17

U2 - 10.1007/978-3-031-97573-8_17

DO - 10.1007/978-3-031-97573-8_17

M3 - Conference proceedings published in a book

SN - 9783031975721

T3 - Lecture Notes in Computer Science

SP - 239

EP - 253

BT - Computational Science – ICCS 2025 Workshops - 25th International Conference, 2025, Proceedings

ER -

Best Practices in Teaching Digitization and Process Automation - A Case Study of Warsaw University of Technology

Abstract

Publication series

ASJC Scopus subject areas

Keywords

UN SDGs

Access to Document

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