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The Designer-Oriented Process Analysis of Utilizing the DIZU-EVG Instrument for Educational Video Games

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

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Abstract

Serious video games are popular tools for applying modern learning practices and strategies to educate learners on different knowledge and skills in a particular domain or discipline. The paper focuses on educational video games as serious games applied in education. The paper presents the use of the specialized Model of the Educational Video Game Designer’s Perspectives, with the help of which the DIZU-EVG (Data visualIZation instrUment for Educational Video Games) tool for visualizing gaming and learning results from educational video games is further developed. Using the model of the designer’s perspectives, this paper develops and presents the Designer-Oriented Process Model of Utilizing The DIZU-EVG Instrument by designers of educational video games. The new model describes in detail the designer-oriented process analysis of the ability of the designers to use the tool functionalities to visualize gaming and learning results. The presented model will contribute to the future development and improvement of the tool. With the help of the DIZU-EVG tool, designers have the opportunity to take advantage of the purposefully designed functionalities of the instrument for visualization of the data for their educational video games and data about learners and players. Using the visualized data on the dashboards, designers can visually analyze all available information and plan meaningful and timely strategic solutions.

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Acknowledgements

This research is supported by the Bulgarian Ministry of Education and Science under the National Program “Young Scientists and Postdoctoral Students – 2”.

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Correspondence to Yavor Dankov .

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Dankov, Y. (2023). The Designer-Oriented Process Analysis of Utilizing the DIZU-EVG Instrument for Educational Video 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_22

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