The Transformation of Machining Learning: Implementation of Artificial Intelligence-Based Metacognitive Skills in Mechanical Engineering Education

Selamat Riadi; Izwar Lubis; Indra Koto; M. Nuh H. Pasaribu; Sofia Lira; Septian Dafa; Khairul Amri

doi:10.2991/978-2-38476-557-7_15

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The Transformation of Machining Learning: Implementation of Artificial Intelligence-Based Metacognitive Skills in Mechanical Engineering Education

Authors

Selamat Riadi¹^{, *}, Izwar Lubis¹, Indra Koto¹, M. Nuh H. Pasaribu¹, Sofia Lira¹, Septian Dafa¹, Khairul Amri¹

¹Universitas Negeri Medan, Medan, Indonesia

^*Corresponding author. Email: selamatriadi@unimed.ac.id

Corresponding Author

Selamat Riadi

Available Online 17 March 2026.

DOI: 10.2991/978-2-38476-557-7_15 How to use a DOI?
Keywords: Metacognitive Skill; Artificial Intelligence; Machining Learning; Mechanical Engineering Department
Abstract: Technology learning that is closely related to industry has been popular among students in certain psychomotor fields, but their understanding of the underlying theory is not yet mature. This study aims to improve the level of student learning with the help of artificial intelligence (AI) to strengthen reasoning and machining skills. The study used a metacognitive skill-based learning method with a Two-Group Pretest–Posttest experimental design. The research subjects consisted of 55 students and 5 lecturers. The validity of the instruments was tested using Aiken's V, which showed a value of 0.917 for the textbook and 0.908 for the manual. The practicality level of the model reached 86.72%. The effectiveness test showed a significant increase in learning outcomes of 16.44 (p < 0.05) and a significant difference between the experimental and control classes.
Copyright: © 2026 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 7th Annual Conference of Engineering and implementation on vocational education (ACEIVE 2025)
Series: Advances in Social Science, Education and Humanities Research
Publication Date: 17 March 2026
ISBN: 978-2-38476-557-7
ISSN: 2352-5398
DOI: 10.2991/978-2-38476-557-7_15 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Selamat Riadi
AU  - Izwar Lubis
AU  - Indra Koto
AU  - M. Nuh H. Pasaribu
AU  - Sofia Lira
AU  - Septian Dafa
AU  - Khairul Amri
PY  - 2026
DA  - 2026/03/17
TI  - The Transformation of Machining Learning: Implementation of Artificial Intelligence-Based Metacognitive Skills in Mechanical Engineering Education
BT  - Proceedings of the 7th Annual Conference of Engineering and implementation on vocational education (ACEIVE 2025)
PB  - Atlantis Press
SP  - 169
EP  - 177
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-557-7_15
DO  - 10.2991/978-2-38476-557-7_15
ID  - Riadi2026
ER  -

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