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Computer-Aided Development of Adaptive Learning Games

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Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023) (NiDS 2023)

Abstract

We discuss the modern trends in educational software, technologies and tools for its development. The features and problems of developing adaptive learning games as a new category of educational software, models, methods and technologies used for its development are considered. An approach to modeling learning process as the dynamics of the learner’s state in the knowledge space, and the calculus of state in this space is described. An adaptation model is proposed based on dynamic content matching of non-linear learning and game scenarios, preserving the logic of the learning process in a game context. The design and technological procedures for the automated development of adaptive learning games are determined. A portable adaptation module embeddable in the learning game project at the stage of its implementation is designed and implemented, which makes it possible to reduce the complexity of developing adaptive learning games and improve their quality in terms of the effectiveness of learning in a game context. The development of adaptive learning game using proposed model and tools is shown and the laboriousness of the development process is estimated. The aim of the work is to reduce the complexity of developing adaptive learning games by automating the design process and using ready-made design and software solutions.

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References

  1. Al-Ataby, A.: Hybrid learning using canvas lms. Eur. J. Educ. Pedagogy 2, 27–33 (2021). https://doi.org/10.24018/ejedu.2021.2.6.180

    Article  Google Scholar 

  2. Bezerra, A., Batista, E., Sousa, J., Olegário, T., Evangelista, E., Lira, R.: Bora jogar: desenvolvimento de jogos para auxiliar na aprendizagem de programação. Res. Soc. Dev. 11, e15511527668 (2022). https://doi.org/10.33448/rsd-v11i5.27668

  3. Calongne, C., Stricker, A., Truman, B., Murray, J., Lavieri, J.E., Martini, D.: Slippery rocks and algae: A multiplayer educational roleplaying game and a model for adaptive learning game design. In: Proceedings of TCC 2014, pp. 13–23. TCCHawaii (2014). https://www.learntechlib.org/p/149824

  4. Duvall, M.: Adobe captivate as a tool to create elearning scenarios (2014)

    Google Scholar 

  5. Gill, G., Smith, G.: Imapbook: Engaging young readers with games. J. Inf. Technol. Educ. Discuss. Cases 2, 10 (2013). https://doi.org/10.28945/1915

    Article  Google Scholar 

  6. Ignatovitch, T.: Teaching russian as a foreign language with the use of learningapps service. Russ. Lang. Stud. 19, 51–65 (2021). https://doi.org/10.22363/2618-8163-2021-19-1-51-65

    Article  Google Scholar 

  7. Khosravi, H., Sadiq, S., Gasevic, D.: Development and adoption of an adaptive learning system: Reflections and lessons learned (2020). https://doi.org/10.1145/3328778.3366900

  8. Kirillov, Y.: Using the ispring suite computer platform in distance learning. SHS Web Conf. 106, 03008 (2021). https://doi.org/10.1051/shsconf/202110603008

    Article  Google Scholar 

  9. Kumah, M.: Analyzing the vark model of preservice teachers pck of learning. J. Educ. 5, 58–70 (2022). https://doi.org/10.53819/81018102t4103

    Article  Google Scholar 

  10. Mezin, H., Kharrou, S., Ait Lahcen, A.: Adaptive learning algorithms and platforms: a concise overview, pp. 3–12 (2022). https://doi.org/10.1007/978-3-030-91738-8_1

  11. Rusmardiana, A., Sjuchro, D., Yanti, D., Daryanti, F., Iskandar, A.: Students’ perception on the use of kahoot as a learning media. AL-ISHLAH Jurnal Pendidikan, 14, 2205–2212 (2022). https://doi.org/10.35445/alishlah.v14i2.2139

  12. Saputra, H., Utami, G., Yolida, B.: Utilization of articulate storyline as interactive learning media to improve the study motivation of college students, 11, 21–27 (2022). https://doi.org/10.23960/jppk.v11.i3.2022.03

  13. Shabalina, O., Malliarakis, C., Tomos, F., Mozelius, P.: Game-based learning for learning to program: From learning through play to learning through game development (2017)

    Google Scholar 

  14. Shabalina, O., et al.: Combining game-flow and learning objectives in educational games, vol. 2 (2014)

    Google Scholar 

  15. Shabalina, O., Yerkin, D., Davtian, A., Sadovnikova, N.: A lattice-theoretical approach to modeling naturally ordered structures. In: Proceedings of the 2016 Conference on Information Technologies in Science, Management, Social Sphere and Medicine, pp. 430–433. Atlantis Press (2016). https://doi.org/10.2991/itsmssm-16.2016.85

  16. Unsworth, A., Posner, M.: Case study: Using h5p to design and deliver interactive laboratory practicals. Essays Biochem. 66 (2022). https://doi.org/10.1042/EBC20210057

  17. Vesin, B., Milicevic, A., Ivanovic, M., Budimac, Z.: Applying recommender systems and adaptive hypermedia for e-learning personalization. Comput. Inf. 32, 629–659 (2013)

    Google Scholar 

  18. Zulpukarova, D., Smanova, N., Kultaeva, D.: Electronic textbooks as a means of modern education. Bulletin of Science and Practice (2022). https://doi.org/10.33619/2414-2948/82/62

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Acknowledgements

The study has been supported by the grant from the Russian Science Foundation (RSF) and the Administration of the Volgograd Oblast (Russia) No. 22–11-20024, https://rscf.ru/en/project/22-11-20024.

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Correspondence to Alexander Khayrov .

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Khayrov, A., Shabalina, O., Sadovnikova, N., Kataev, A., Petrova, T. (2023). Computer-Aided Development of Adaptive Learning Games. In: Kabassi, K., Mylonas, P., Caro, J. (eds) Novel & Intelligent Digital Systems: Proceedings of the 3rd International Conference (NiDS 2023). NiDS 2023. Lecture Notes in Networks and Systems, vol 784. Springer, Cham. https://doi.org/10.1007/978-3-031-44146-2_37

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