Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)

Enhancing Students’ Learning Outcomes Through Simulator Program: A Case Study of using Swansoft CNC Simulator Software in Vocational Education

Authors
Tri Ma’rufiati1, *, Yuyun Estriyanto2, Siswandari3
1Postgraduate of Vocational Teacher Education, Faculty of Teacher and Training, Universitas Sebelas Maret. Jl, Ir. Sutami No.36, Kentingan, Kec. Jebres, Kota Surakarta, Jawa Tengah, 57126, Indonesia
2Faculty of Teacher and Training, Universitas Sebelas Maret, Surakarta, Indonesia
3Faculty of Teacher and Training, Universitas Sebelas Maret, Surakarta, Indonesia
*Corresponding author. Email: trimarufiati@student.uns.ac.id
Corresponding Author
Tri Ma’rufiati
Available Online 29 June 2024.
DOI
10.2991/978-94-6463-445-7_12How to use a DOI?
Keywords
student’s learning; swansoft simulator; cnc technology
Abstract

This research aim to describe the student’s learning outcome enhancement on using Swansoft simulator software to explain non-conventional CNC technology topic in the vocational high schools. Skills for vocational students are absolutely mandatory. CNC become a complex topic to be learned as mechanical student and also offer higher risk to use. Hence, we need a simulator to minimize this risk and reduce its complexity. Swansoft is completely to overcome this issue. Qualitative methods were used to observe the learning outcome. Data was collected by observation and non-interactive interview. Then, it was analyzed in 3 step, such: data reduction, data display, and data conclusion. From the data, it found that student has escalation of learning consciousness. Student tend to more aware before using the real machine. In mentality, student tend more ready and carefully. This research offer a novel of student’s learning characteristic in using simulator soft-ware to support complex machine understanding. It could be improvement novelty for further researcher. Furthermore, this software help teacher to teach a complex topic with familiar interface in real condition. Where it hard to keep our focus on using high risk machine, a simulator software help more to minimize prospective operator in danger and having good quality learning outcome.

Copyright
© 2024 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 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
Series
Advances in Intelligent Systems Research
Publication Date
29 June 2024
ISBN
10.2991/978-94-6463-445-7_12
ISSN
1951-6851
DOI
10.2991/978-94-6463-445-7_12How to use a DOI?
Copyright
© 2024 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.

Cite this article

TY  - CONF
AU  - Tri Ma’rufiati
AU  - Yuyun Estriyanto
AU  - Siswandari
PY  - 2024
DA  - 2024/06/29
TI  - Enhancing Students’ Learning Outcomes Through Simulator Program: A Case Study of using Swansoft CNC Simulator Software in Vocational Education
BT  - Proceedings of the 2nd International Conference on Neural Networks and Machine Learning 2023 (ICNNML 2023)
PB  - Atlantis Press
SP  - 102
EP  - 107
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-445-7_12
DO  - 10.2991/978-94-6463-445-7_12
ID  - Ma’rufiati2024
ER  -