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

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Authors: Selamat Riadi, Izwar Lubis, Indra Koto, M. Nuh H. Pasaribu, Sofia Fernandes Lira, Septian Dafa, Khairul Amri
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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.

Fields of Study & Subjects

Artificial Intelligence in Education Innovative Teaching and Learning Methods Vocational and Entrepreneurial Education

Publication details

Journal / source
Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research
Pages
169–177
Publication date
1 January 2026
Language
EN