EN
Production and programming of industrial automation training set with project based learning curriculum
Abstract
The purpose of this study is to provide students with a 21st century training that can be easily applied to industrial automation training, both online and in person, and that goes beyond traditional learning methods. It involves creating and programming a training package that is compatible with the Ministry of National Education (MEB) curriculum, using the project-based learning (PBL) method and a curriculum that focuses on skills acquisition. Two different brands of programmable logic controllers (PLC) have been integrated into the manufactured training set so that the set can be used to conduct various PLC trainings. In the training set, product separation can be carried out using the electro-pneumatic system with a turntable and two conveyor belts. Motor controls, sensor applications, electro-pneumatics, touch panel and various PLC controls can also be carried out with the training set. The set focuses on the grafcet diagram method and can show how to program the same scenarios in different PLC models. By using PLC software components in the training set, students also get the opportunity to develop and experience their own unique SCADA (supervisory control and Data Acquisition) software with visual programming. This study also includes a sample curriculum prepared for PBL. In this way, all on-set training can be done using the PBL method and students get a 21st century experience. They also get the opportunity to improve their skills. PBL is an innovative and process-oriented learning method and is supported by the Ministry of Education (MoE). The prepared curriculum also includes the learning plan and measurement and assessment scales (rubrics). We anticipate that this package will be effective and useful in providing students with 21st century job skills and abilities in the field of industrial automation engineering, both online and face-to-face.
Keywords
References
- Nitin Sapre, Abhishek Singh Tomar (2016). Study of Industrial Automation with Mechatronic Sys-tem Using Various Technology Embedded, ISSN (Print): 2393-8374, (Online): 2394-0697, Volume-3, Issue-7.
- Dopico, M., Gomez, A., De La Fuente, D., García, N., Rosillo, R., Puche, J. (2016). A Vision of Industry 4.0 from an Artificial Intelligence Point of View, Int'l Conf. Artificial Intelligence, ISBN: 1-60132-438-3.
- Allen, I. E., & Seaman, J. (2014). Grade change tracking online education in the United States. Babson Survey Research Group and Quahog Research Group, LLC.
- Palvia, S., Aeron, P., Gupta, P., Mahapatra, D., Parida, R., Rosner, R., & Sindhi, S. (2018). Online education: Worldwide status, challenges, trends, and implications. Journal Of Global Information Technology Management, 21(4), 233-241. https://doi.org/10.1080/1097198X.2018.1542262
- Gunawardena, C.N., & Mcısaac, M.S. (2004). Distance Education. In David H.Jonassen (Ed.) Handbook Of Research on Educational Communications and Technology, Second Edition. A Project of the Association for Educational Communications and Technology. Lawrence Erlbaum Associates, Publishers, Mahwah, New Jersey London. P. 355– 397.
- Ma, L., & Lee, C. S. (2021). Evaluating the effectiveness of blended learning using the ARCS model. Journal of computer assisted learning, 37(5), 1397-1408. https://doi.org/10.1111/jcal.12579
- Heinchi, R., Molenda, M., Russel, J., & Smaldino, S. (2002). Instructional media and technologies for learning (7th ed.). Englewood Cliffs: Prentice Hall.
- Wilson, E.K., & Marsh II, G.E. (1995). Social studies and the internet revolutions. Social Education, 59, 198-202
Details
Primary Language
English
Subjects
Instructional Technologies
Journal Section
Research Article
Publication Date
December 31, 2024
Submission Date
May 29, 2024
Acceptance Date
September 23, 2024
Published in Issue
Year 2024 Volume: 7 Number: 4 - ICETOL 2024 Special Issue