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.
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References
Romagnoli G, Esposito G, Rizzi A, Zammori F, Bertolini M, Uckelmann D (2020) Lab networks in engineering education: a proposed structure for organizing information. Int J Online Biomed Eng 16(05):41–70
Gravier C, Fayolle J, Bayard B, Ates M, Lardon J (2008) State of the art about remote laboratories paradigms - foundations of ongoing mutations. Int J Online Eng 4(1):19–25
Restivo MT, Mendes J, Lopes AM, Silva CM, Chouzal F (2009) A remote laboratory in engineering measurement. IEEE Trans Ind Electron 56(12):4836–4843
Henry J (2002) Using the modern chemical engineering laboratory at a distance. In: ASEE annual conference proceedings, pp 841–849
Marincean S, Scribner SL (2020) Remote organic chemistry laboratories at university of michigan-dearborn. J Chem Educ 97(9):3074–3078
Gitelman DR (2002) ILAB: a program for postexperimental eye movement analysis. Behav Res Methods Instruments Comput 34(4):605–612
Richter T, Tetour Y, Boehringer D (2011) Library of labs - a European project on the dissemination of remote experiments and virtual laboratories. In: Proceedings - 2011 IEEE international multimedia, ISM 2011, pp 543–548
Titov I (2013) Labicom.net - The on-line laboratories platform. In: IEEE global engineering education conference, pp 1137–1140
Titov I, Glotov A, Andrey Y, Petrov V (2016) Labicom labs: remote and virtual solid-state laser lab, RF & microwave amplifier remote and virtual lab: interactive demonstration of Labicom labs in winter 2016. In: Proceedings 2016 13th international conference on remote engineering and virtual instrumentation, REV 2016, pp 336–338
Friedrich M et al (2011) Early results of experiments with responsive open learning environments. J Univers Comput Sci 17(3):451–471
de Jong T et al (2012) Using scenarios to design complex technology-enhanced learning environments. Educ Technol Res Dev 60(5):883–901
Zutin DG, Auer M (2014) A simple LabVIEW based framework to facilitate the deployment of iLab batch lab servers. In: Proceedings 2014 11th international conference on remote engineering and virtual instrumentation, REV 2014, pp 328–331
Hardison JL, DeLong K, Bailey PH, Harward VJ (2008) Deploying interactive remote labs using the iLab shared architecture. In: Proceedings - frontiers in education conference, FIE, pp 18–23
Feisel LD, Rosa AJ (2005) The role of the laboratory in undergraduate engineering education. J Eng Educ 94(1):121–130
Burghardt M, Ferdinand P, Pfeiffer A., Reverberi D, Romagnoli G (2020) Integration of new technologies and alternative methods in laboratory-based scenarios. In: 17th international conference on remote engineering and virtual instrumentation, REV 2020, pp 297–317
Pfeiffer A, Lukarov V, Romagnoli G, Uckelmann D, Schroeder U (2020) Experiential learning in labs and multimodal learning analytics. In: Ifenthaler D, Gibson D (eds) Adoption of data analytics in higher education learning and teaching. Springer, Cham, pp 349–373. https://doi.org/10.1007/978-3-030-47392-1_18
Acknowledgements
This research was funded by the German Ministry of Education and Research BMBF, grant numbers 16DHB2112 (HFT Stuttgart), 16DHB2116 (University of Parma), and 16DHB2115 (IWM Koblenz), and was developed within the project DigiLab4U (https://digilab4u.com/). The responsibility for the content of this publication lies with the authors.
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Bottani, E., Reverberi, D., Romagnoli, G., Ustenko, M., Volpi, A. (2022). Batch Experiment: A Fruitful Way of Combining Hands-On Laboratory and E-Learning. In: Auer, M.E., Bhimavaram, K.R., Yue, XG. (eds) Online Engineering and Society 4.0. REV 2021. Lecture Notes in Networks and Systems, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-030-82529-4_24
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DOI: https://doi.org/10.1007/978-3-030-82529-4_24
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