ABSTRACT
—In the last decades, Serious Games (SGs) have been implemented more and more in the engineering field, for both educational and professional purposes. The interest in digital SGs has increased even more in the last years of covid-19 pandemic, due to their location-independent availability and to the possibility to use SGs to apply theoretical knowledge and involve the users in a challenging way. Since the beginning of project Open Digital Laboratory For You (DigiLab4U) in October 2018, the University of Parma started to develop a brand-new SG with a strong focus on Operation and Supply Chain Management. The game has been studied as a multiplayer cooperative and competitive game which projects learners in a fictitious universe where multiple companies compete against each other in the same market. The realization of the game started from the definition of the didactical concept, underwent the user acceptance testing phases (alpha and beta tests) up until reach the release and the corresponding final evaluation feedback. © 2022,International journal of online and biomedical engineering. All Rights Reserved.
ABSTRACT
In this study, the authors present the utilization of laboratory-based Learning at the University of Parma and its integration with DigiLab4U (Open Digital Laboratory for You). At the University of Parma, the course of AUTO-ID in production and logistics from the very beginning has exploited the lab-based learning to convey practical skills gained in RFID (Radio Frequency IDentification) Laboratory to the students through a hands-on laboratory. However, due to the COVID-19 pandemic and consequent measures taken by the Italian government, the very same method could not be used anymore during the spring semester of the year 2020. To solve the issue a batch experiment method has been adopted, where the parameters were set by students and the experiment was carried out by a researcher. During the experiments, the researchers gather raw data and send it back to the students. Having these data, the students were able to perform the data analysis. To give the students the possibility to better understand the environment of the laboratory, pictures, and videos of the experiment performance have been supplied too. To complete the batch experiment, a tutorial has also been provided with the details of the software set up and the components used. The total remotization of RFID Laboratory is scheduled for late 2021. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.