AI-Based Personalized Approach in Teaching Measurement Science
Authors:
- Milan DinčićMDMilan Dinčić
- Jelena JovanovićJelena Jovanović
- Dragan DenićDDDragan Denić
- Goran MiljkovićGMGoran Miljković
- Mare SrbinovskaMSMare Srbinovska
- Marco FaiferMarco Faifer
- Ivana RanđelovićIRIvana Ranđelović
- Živko KokolanskiŽKŽivko Kokolanski
- Vladimir DimčevVDVladimir Dimčev
- Loredana CristaldiLCLoredana Cristaldi
- Christian LauranoChristian Laurano
- Kiril DemerdžievKDKiril Demerdžiev
- 1 June 2026
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1-6
Abstract
No abstract availableFunding Information
- European Union (2024-1-MK01-KA220-HED-000248299)
This publication has 12 references indexed in Scilit:
- Simulation in engineering education: The transition from physical experimentation to digital immersive simulated environmentsSIMULATION, 2024
- Industry 4.0 to Industry 5.02024
- A Review of Piezoelectric Energy Harvesting: Materials, Design, and Readout CircuitsActuators, 2023
- A structured review on game‐based learning applied to electrical power and energy engineeringComputer Applications in Engineering Education, 2023
- Smart Sensors in Industry 4.02023
- Digital Twins: A Survey on Enabling Technologies, Challenges, Trends and Future ProspectsIEEE Communications Surveys & Tutorials, 2022
- The Role of Artificial Intelligence in Measuring Systems2021
- Effectiveness of flipped classroom practices in teaching of science: a mixed research synthesisResearch in Science & Technological Education, 2021
- Predictive Maintenance in the 4th Industrial Revolution: Benefits, Business Opportunities, and Managerial ImplicationsIEEE Engineering Management Review, 2020
- Benefits of collaborative learningProcedia - Social and Behavioral Sciences, 2012