ENHANCING MEASUREMENT SCIENCE EDUCATION THROUGH EMERGING TECHNOLOGIES AND MODERN PEDAGOGIES

Authors

  • Mare Srbinovska Ss. Cyril and Methodius University - Skopje, Faculty of Electrical Engineering and Information Technologies – Skopje, North Macedonia
  • Marco Faifer Politecnico di Milano, Italy
  • Milan Dinčić University of Niš, Faculty of Electronic Engineering - Niš, Serbia

DOI:

https://doi.org/10.20544/hisj.2026.596

Keywords:

Measurement Science, Digital Twin, Industry 5.0, Artificial Intelligence, Active Learning, Curriculum Innovation, Engineering Education

Abstract

This study analyzed the current state of Measurement Science education in engineering programs, focusing on curriculum relevance, teaching practices, and integration of modern technologies. A structured survey conducted among students from three European universities revealed that, while students have a solid foundation in traditional measurement principles, their exposure to advanced topics such as Digital Twins, Industry 5.0, artificial intelligence, predictive maintenance, and energy-aware sensing remains limited. The findings also showed that traditional lectures remain effective for theoretical understanding; however, active learning methods, collaborative work, digital tools, and industry engagement are not sufficiently incorporated into the learning process. Students emphasized the need for more hands-on, practice-oriented experiences that better reflect real-world engineering environments. Based on these insights, the study proposes recommendations for curriculum modernization, including the integration of emerging technologies and the wider adoption of student-centered learning approaches to strengthen competencies and improve workforce readiness in engineering fields.

Downloads

Download data is not yet available.

References

Alves, G., T. Henriques, and A. Tavares. 2022. "Remote Laboratories for Digital Transformation in Engineering Education: Challenges, Architectures, and Case Studies." IEEE Transactions on Learning Technologies 15 (4): 555-569.

Dede, Chris, and William Lidwell. 2023. "Developing a Next-Generation Model for Massive Digital Learning." Education Sciences 13 (8): 845. [https://doi.org/10.3390/educsci13080845](https://doi.org/10.3390/educsci13080845).

https://doi.org/10.3390/educsci13080845

Hazaveh, Parisa, Alex Sergeyev, and Nizar Rawashdeh. 2024. "Mechatronics Bachelor Curriculum Development in Light of Industry 4.0 Technology Needs: Contrasting US and German University Curricula." Paper presented at the CIEC Conference, Tempe, AZ, 2022. [https://doi.org/10.18260/1-2-1139-45680](https://doi.org/10.18260/1-2-1139-45680).

https://doi.org/10.18260/1-2-1139-45680

Kamp, A. G. 2021. Engineering Education in a Rapidly Changing World: Rethinking the Vision for Higher Engineering Education. Delft: Delft University of Technology.

Lai, Xiaonan, Liangliang Yang, Xiwang He, Yong Pang, Xueguan Song, and Wei Sun. 2023. "Digital Twin-Based Structural Health Monitoring by Combining Measurement and Computational Data: An Aircraft Wing Example." Journal of Manufacturing Systems 69: 76-90. [https://doi.org/10.1016/j.jmsy.2023.06.006](https://doi.org/10.1016/j.jmsy.2023.06.006).

https://doi.org/10.1016/j.jmsy.2023.06.006

Lee, J. B. 2015. "A Cyber-Physical Systems Architecture for Industry 4.0-Based Manufacturing Systems." Manufacturing Letters 3: 18-23.

https://doi.org/10.1016/j.mfglet.2014.12.001

PMCid:PMC9535215

Monostori, L. 2014. "Cyber-Physical Production Systems: Roots, Expectations and R&D Challenges." Procedia CIRP: 9-13. [https://doi.org/10.1016/j.procir.2014.03.115](https://doi.org/10.1016/j.procir.2014.03.115).

https://doi.org/10.1016/j.procir.2014.03.115

Ramos, M. V. 2020. "Industry 4.0: A Review of the Literature." Procedia Computer Science 181: 883-890.

Roger, J. J. 2021. "Design Engineering in the Age of Industry 4.0." Journal of Mechanical Design 143 (7): 1-44. [https://doi.org/10.1115/1.4051041](https://doi.org/10.1115/1.4051041).

https://doi.org/10.1115/1.4051041

Roumeliotis, Christos, Minas Dasygenis, Vasilis Lazaridis, and Michael Dossis. 2024. "Blockchain and Digital Twins in Smart Industry 4.0: The Use Case of Supply Chain-A Review of Integration Techniques and Applications." Designs 8 (6): 105. [https://doi.org/10.3390/designs8060105](https://doi.org/10.3390/designs8060105).

https://doi.org/10.3390/designs8060105

Soori, Mohsen, Behrooz Arezoo, and Roza Dastres. 2023. "Digital Twin for Smart Manufacturing: A Review." Sustainable Manufacturing and Service Economics 2: 100017. [https://doi.org/10.1016/j.smse.2023.100017](https://doi.org/10.1016/j.smse.2023.100017).

https://doi.org/10.1016/j.smse.2023.100017

UNESCO. 2015. Rethinking Education: Towards a Global Common Good? Paris: UNESCO Publishing. [https://doi.org/10.54675/MDZL5552](https://doi.org/10.54675/MDZL5552).

https://doi.org/10.54675/MDZL5552

Downloads

Published

17-03-2026

Issue

Section

Thematic Section Articles: Interdisciplinary Advances in Engineering, Technology and Applied Sciences

How to Cite

Srbinovska, Mare, Marco Faifer, and Milan Dinčić. 2026. “ENHANCING MEASUREMENT SCIENCE EDUCATION THROUGH EMERGING TECHNOLOGIES AND MODERN PEDAGOGIES”. Horizons - International Scientific Journal 3 (1): 29-45. https://doi.org/10.20544/hisj.2026.596.