Petri nets for Adaptive learning scenarios in Serious games

Hosťovecký, M.; Korečko, Š.; Sobota, B.

doi:10.2478/jamsi-2024-0005

Abstract

Serious games are becoming a more commonly utilized tool in training, education, and learning. On the other hand, Petri nets, a well-known formalism for process modeling, seem to be a promising tool for describing learning activity scenarios for serious games and virtual environments. Thanks to their graphical form and easy-to-understand nature, it can be assumed that participants from different backgrounds should be able to understand and use Petri nets for their scenarios. A present study presented here investigates how this assumption corresponds to reality. In the study, a short explanation of Petri nets and a set of related tasks were given to a sample of 31 participants (n = 31). The participants were students of Computer Science (16) and Humanities (15). The results collected and statistically analyzed demonstrate both similarities and distinctions in the reactions to problem-solving assignments among individuals in the two groups. These findings and their analysis have been condensed and presented in visual form.

References

Abt, C. C. (1970). Serious games. New York: The Viking Press. 176
Search in Google Scholar Back to article
Petri, C. (1962) Kommunikation mit automaten, Ph.D. dissertation, TU Darm- stadt
Search in Google Scholar Back to article
Kaikova, O., & Terziyan, V. (2024). Deep neural networks, cellular automata and Petri nets: Useful hybrids for smart manufacturing. Procedia Computer Science, 232, 2334–2346. https://doi.org/doi:10.1016/j.procs.2024.02.052
Search in Google Scholar Back to article
Grobelna, I., & Karatkevich, A. (2021). Challenges in application of Petri nets in manufacturing systems. Electronics, 10(18),2305, https://doi.org/doi:10.3390/electronics10182305
Search in Google Scholar Back to article
Yu, W., Feng, J., Liu, L., Zhai, X., & Cheng, Y. (2024). Enhancing security in e-business processes: Utilizing dynamic slicing of Colored Petri Nets for logical vulnerability detection. Future Generations Computer Systems: FGCS, 158, 210–218. https://doi.org/doi:10.1016/j.future.2024.04.035
Search in Google Scholar Back to article
da Silva Fonseca, J. P., de Sousa, A. R., & Tavares, J. J.-P. Z. de S. (2023). Modeling and controlling IoT-based devices’ behavior with high-level Petri nets. Procedia Computer Science, 217, 1462– 1469. https://doi.org/doi:10.1016/j.procs.2022.12.345
Search in Google Scholar Back to article
Balogh, Z., Fodor, K., Francisti, J., Drozda, M., & Čavojský, M. (2023). Modelling and use of adaptive control using Petri nets. Procedia Computer Science, 225, 1438–1447. https://doi.org/doi:10.1016/j.procs.2023.10.132
Search in Google Scholar Back to article
Thomas, P., Yessad, A., & Labat, J.-M. (2011). Petri nets and ontologies: Tools for the “learning player” assessment in serious games. 2011 IEEE 11th International Conference on Advanced Learning Technologies. IEEE.
Search in Google Scholar Back to article
Liang, J., Tang, Y., Hare, R., Wu, B., & Wang, F.-Y. (2023). A learning-embedded attributed Petri net to optimize student learning in a serious game. IEEE Transactions on Computational Social Systems, 10(3), 869–877. https://doi.org/doi:10.1109/tcss.2021.3132355
Search in Google Scholar Back to article
Korečko, Š., Sobota, B., Mattová, M., & Kašela, A. (2022). Petri-net-driven educational scenarios in web-based extended reality. 2022 IEEE 16th International Scientific Conference on Informatics (Informatics). IEEE.
Search in Google Scholar Back to article
Hare, R., & Tang, Y. (2022). Petri nets and hierarchical reinforcement learning for personalized student assistance in serious games. 2022 International Conference on Cyber-Physical Social Intelligence (ICCSI). IEEE.
Search in Google Scholar Back to article
Yamaguchi, S., & Tamura, Y. (2017). Modeling of stalkers’ behavior and development of simulated experience game for education. 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE). IEEE.
Search in Google Scholar Back to article
Sinclair, K., & Livingstone, D. (2016). Accurate complex systems design: Integrating serious games with Petri Nets. International Journal of Serious Games, 3(1). https://doi.org/doi:10.17083/ijsg.v3i1.105
Search in Google Scholar Back to article
Gieseking, M., Hecking-Harbusch, J., & Yanich, A. (2021). A web interface for Petri nets with transits and Petri games. In Tools and Algorithms for the Construction and Analysis of Systems (pp. 381–388). Cham: Springer International Publishing.
Search in Google Scholar Back to article
Talebi Azadboni, T., Nasiri, S., Khenarinezhad, S., & Sadoughi, F. (2024). Effectiveness of serious games in social skills training to autistic individuals: A systematic review. Neuroscience and Biobehavioral Reviews, 161(105634), 105634. https://doi.org/10.1016/j.neubiorev.2024.105634
Search in Google Scholar Back to article
Cain, J., & Piascik, P. (2015). Are serious games a good strategy for pharmacy education? American Journal of Pharmaceutical Education, 79(4), 47. https://doi.org/10.5688/ajpe79447
Search in Google Scholar Back to article
Asadzadeh, A., Shahrokhi, H., Shalchi, B., Khamnian, Z., & Rezaei-Hachesu, P. (2024). Serious educational games for children: A comprehensive framework. Heliyon, 10(6), e28108. https://doi.org/10.1016/j.heliyon.2024.e28108
Search in Google Scholar Back to article
Vecchio, G. (2024). Serious games and transport justice: Examining redistributive issues through classification and dictator games. Journal of Transport & Health, 36(101817), 101817. https://doi.org/10.1016/j.jth.2024.101817
Search in Google Scholar Back to article
Altan, B., Gürer, S., Alsamarei, A., Demir, D. K., Düzgün, H. Ş., Erkayaoğlu, M., & Surer, E. (2022). Developing serious games for CBRN-e training in mixed reality, virtual reality, and computer-based environments. International Journal of Disaster Risk Reduction: IJDRR, 77(103022), 103022. https://doi.org/10.1016/j.ijdrr.2022.103022
Search in Google Scholar Back to article
Kadri, M., Boubakri, F.-E., Kaghat, F.-Z., Azough, A., & Zidani, K. A. (2024). IVAL: Immersive Virtual Anatomy Laboratory for enhancing medical education based on virtual reality and serious games, design, implementation, and evaluation. Entertainment Computing, 49(100624), 100624. https://doi.org/10.1016/j.entcom.2023.100624
Search in Google Scholar Back to article
Zhang, C., Zhao, J., Cao, M., Zheng, H., & Han, T. (2023). Understanding the effects of virtual reality serious games on relieving the stress of graduate students. International Journal of Psychophysiology: Official Journal of the International Organization of Psychophysiology, 188, 68. https://doi.org/10.1016/j.ijpsycho.2023.05.175
Search in Google Scholar Back to article
Pournajaf, S., Goffredo, M., Pellicciari, L., Piscitelli, D., Criscuolo, S., Le Pera, D., Damiani, C., & Franceschini, M. (2022). Effect of balance training using virtual reality-based serious games in individuals with total knee replacement: A randomized controlled trial. Annals of Physical and Rehabilitation Medicine, 65(6), 101609. https://doi.org/10.1016/j.rehab.2021.101609
Search in Google Scholar Back to article
Richard, K., Havard, V., His, J., & Baudry, D. (2021). INTERVALES: INTERactive Virtual and Augmented framework for industriaL Environment and Scenarios. Advanced Engineering Informatics, 50(101425), 101425. https://doi.org/10.1016/j.aei.2021.101425
Search in Google Scholar Back to article
Wang, S.-M., & Vu, L. H. (2023). The integration of digital twin and serious game framework for new normal virtual urban exploration and social interaction. Journal of Urban Management, 12(2), 168–181. https://doi.org/10.1016/j.jum.2023.03.001
Search in Google Scholar Back to article
Margetis, G., Papagiannakis, G., & Stephanidis, C. (2019). Realistic natural interaction with virtual statues in x-reality environments. ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLII-2/W11, 801–808. https://doi.org/10.5194/isprs-archives-xlii-2-w11-801-2019
Search in Google Scholar Back to article

Petri nets for Adaptive learning scenarios in Serious games

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