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International Conference on Information and Software Technologies

ICIST 2018: Information and Software Technologies pp 476–482Cite as

The Mobile Application Based on Augmented Reality for Learning STEM Subjects

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 920))

Abstract

App store is full of programs, which are based on augmented reality. A lot of studies showed that augmented reality has a lot of benefits for user’s ability to learn new things or their increase in motivation. However, the majority of these programs are dedicated for entertainment and just several of them are designed for learning processes. The authors have developed an app based on an augmented reality, which aims to provide scientific formulas for math, physics and chemistry subjects and by this to ease the exercise solving. The target group is K12 learners in school. The app was uploaded to the app store for both, iOS and Android operating systems. Further researches have to be done on finding the impact of this type of programs. If the impact would be positive, the authors suggest improving an app by adding more specific topics.

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Author information

Authors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Tomas Valatkevičius, Andrius Paulauskas, Tomas Blažauskas & Reda Bartkutė

Authors
  1. Tomas Valatkevičius
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  2. Andrius Paulauskas
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  3. Tomas Blažauskas
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  4. Reda Bartkutė
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Corresponding author

Correspondence to Tomas Valatkevičius .

Editor information

Editors and Affiliations

  1. Kaunas University of Technology, Kaunas, Lithuania

    Robertas Damaševičius

  2. Kaunas University of Technology, Kaunas, Lithuania

    Giedrė Vasiljevienė

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Valatkevičius, T., Paulauskas, A., Blažauskas, T., Bartkutė, R. (2018). The Mobile Application Based on Augmented Reality for Learning STEM Subjects. In: Damaševičius, R., Vasiljevienė, G. (eds) Information and Software Technologies. ICIST 2018. Communications in Computer and Information Science, vol 920. Springer, Cham. https://doi.org/10.1007/978-3-319-99972-2_39

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  • DOI: https://doi.org/10.1007/978-3-319-99972-2_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99971-5

  • Online ISBN: 978-3-319-99972-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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