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The Scenarios of Artificial Intelligence and Wireframes Implementation in Engineering Education

Author

Listed:
  • Daina Gudoniene

    (Faculty of Informatics, Kaunas University of Technology, Studentu Str. 50, LT-51368 Kaunas, Lithuania)

  • Evelina Staneviciene

    (Faculty of Informatics, Kaunas University of Technology, Studentu Str. 50, LT-51368 Kaunas, Lithuania)

  • Vytautas Buksnaitis

    (Faculty of Informatics, Kaunas University of Technology, Studentu Str. 50, LT-51368 Kaunas, Lithuania)

  • Nicola Daley

    (Merseyside Expanding Horizons, Mill Lane, Old Swan, Liverpool L13 5TF, UK)

Abstract

Artificial intelligence (AI) and related technologies have become important components of the digital economy and affect core areas of our increasingly technologically networked lives. Specific AI technology can support diverse learners and how AI is used in particular in the context of Adult Education to provide a more inclusive and flexible learning environment. Artificial intelligence has been changing education for a long time now, and it is becoming more pervasive in our lives. The authors analyzed many advantages of using AI as an educational tool, such as increasing student engagement by improving grading accuracy by automatically scoring essays with machine learning algorithms. We present a case on how wireframes can be used in website design. Several existing tools have been examined, and their ability to generate interfaces from sketches has been explored. Creating wireframes, prototypes, design mock-ups, and layouts followed the web development process and is now a significant part of website development in engineering education. The paper aims to give the direct opportunity to observe examples of AI wireframes for engineering education.

Suggested Citation

  • Daina Gudoniene & Evelina Staneviciene & Vytautas Buksnaitis & Nicola Daley, 2023. "The Scenarios of Artificial Intelligence and Wireframes Implementation in Engineering Education," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6850-:d:1126922
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    References listed on IDEAS

    as
    1. van der Vorst, Tommy & Jelicic, Nick, 2019. "Artificial Intelligence in Education: Can AI bring the full potential of personalized learning to education?," 30th European Regional ITS Conference, Helsinki 2019 205222, International Telecommunications Society (ITS).
    2. Aras Bozkurt & Abdulkadir Karadeniz & David Baneres & Ana Elena Guerrero-Roldán & M. Elena Rodríguez, 2021. "Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
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    Cited by:

    1. Ibrahim Mosly, 2024. "Artificial Intelligence’s Opportunities and Challenges in Engineering Curricular Design: A Combined Review and Focus Group Study," Societies, MDPI, vol. 14(6), pages 1-14, June.

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