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Designing Software Instruments for Analysis and Visualization of Data Relevant to Playing Educational Video Games

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Human Interaction, Emerging Technologies and Future Applications IV (IHIET-AI 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1378))

Abstract

Technology-enhanced learning applies more and more educational video games for increasing students’ motivation and engagement, for achieving better learning outcomes. This paper presents the designed functionalities of several software instruments created as analytics and visualization tools for analysing and evaluating both learning and playing outcomes of the player with different knowledge, learning goals, preferences, and learning style. This paper is based on previous publications of the authors and we step on the taxonomy of instruments for facilitated design and evaluation of video games for education (TIMED-VGE) to develop the design of the core functionalities of the software instruments for analysis and visualization of data about playing educational video games. The tools are under development within the APOGEE (smArt adaPtive videO GamEs for Education) educational game platform and will enrich its core functionalities and overall user experience by providing users with a wide range of analytics and data visualization capabilities.

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Acknowledgments

The research leading to these results has received funding from the APOGEE project, funded by the Bulgarian National Science Fund, Grant Agreement No. DN12/7/2017, and from the National Scientific Program “Information and Communication Technologies in Science, Education and Security” (ICT in SES) financed by the Ministry of Education and Science of Bulgaria.

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Correspondence to Yavor Dankov .

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Dankov, Y., Bontchev, B. (2021). Designing Software Instruments for Analysis and Visualization of Data Relevant to Playing Educational Video Games. In: Ahram, T., Taiar, R., Groff, F. (eds) Human Interaction, Emerging Technologies and Future Applications IV. IHIET-AI 2021. Advances in Intelligent Systems and Computing, vol 1378. Springer, Cham. https://doi.org/10.1007/978-3-030-74009-2_54

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