Conference paper Gold Open Access 2020

Development of computer aided manufacturing learning module for Magelang vocational high school students

Journal of Physics: Conference Series
Conference · Vol. 1700 · Issue 1 · Art. 012020
Abstract

This study aims to develop computer aided manufacturing (CAM) learning modules for students, find out the feasibility of learning modules for students, and find out student assessments of modules. The research method used is 4D (Define, Design, Develompent, Dissemination). Data collection using a questionnaire. The results showed the feasibility of teaching materials by material experts who get a percentage of 84.17% with a very decent category, from CNC learning practitioners get a percentage of 85.83% with a very feasible outcome category, and assessment of students in class XII machining at Vocational High School 1 Magelang obtained a percentage of 85.28% which is included in the very feasible category. Based on the results of the assessment by material experts, CNC learning practitioners, and student assessments, this module is included as a very feasible use as teaching material for vocational students. © 2020 Institute of Physics Publishing. All rights reserved.

Keywords

Author Keywords

Not provided

Index Keywords

Apprentices Students Computer aided instruction high school Teaching materials High school students Data collection Student assessment Learning modules Manufacture Computer aided manufacturing research methods
Author Affiliations
Department of Mechanical Engineering Education, Universitas Negeri Yogyakarta, Yogyakarta, Yogyakarta, Indonesia
Funding & Acknowledgements
No funding information
References 8 References
1 American Journal of Educational Research, (2019)
2 Jurnal Dinamika Vikasional Teknik Mesin, (2018)
3 J Pendidik Vokasi Tek Mesin, (2016)
4 J Pendidik Vokasi Tek Mesin, (2018)
5 J Pendidik Teknol Dan Kejuru, (2020)
6 Evaluasi Program Pembelajaran, (2012)
7 Kim, Hyungki, Deep-learning-based retrieval of piping component catalogs for plant 3D CAD model reconstruction, Computers in Industry, 123, (2020)
8 Am J Educ Res, (2019)
Quick Actions
Full Text via DOI
Citation Metrics
0
Times Cited (Scopus)

References 8
Document Identifiers