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FuzzyQoI-Based Estimation of the Quality of Interaction in Online Learning Amid Covid-19: A Greek Case-Study

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Technology and Innovation in Learning, Teaching and Education (TECH-EDU 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1384))

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Abstract

In the beginning of 2020, the coronavirus (Covid-19) pandemic has raised significant challenges for the Higher Education Institutions (HEIs) worldwide. Due to Covid-19 outbreak, HEIs were forced to close due to social lockdown, placing online teaching-learning environments/modalities to the foreground of the educational settings. In an effort to examine how this ‘new normal’ has affected users’ Quality of Interaction (QoI) within the Learning Management System (LMS) Moodle, a modeling approach based on fuzzy logic (FuzzyQoI), was used here and applied to LMS Moodle data, drawn from an undergraduate discipline, offered by a public Greek HEI during the Covid-19 period. The results have shown the ability of the FuzzyQoI model to express the time-depended dynamics of the users’ QoI and associate it with the societal effects of Covid-19. Clearly, these findings shed light upon the way users interact with a LMS online learning when societal disruptors, such as Covid-19, come in to play, informing HEIs’ policy makers for monitoring and re-examining online (teaching-learning) practices.

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Notes

  1. 1.

    https://en.unesco.org/covid19/educationresponse (accessed 23/10/2020).

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Acknowledgments

The authors would like to thank the eLearning Administrators of AUTH for their assistance in LMS Moodle access.

Author information

Authors and Affiliations

  1. CIPER, Faculdade de Motricidade Humana, Universidade de Lisboa, Cruz Quebrada Dafundo, Portugal

    Sofia B. Dias & J. Alves Diniz

  2. Department of Primary Education, Democritus University of Thrace, Alexandroupolis, Greece

    Sofia J. Hadjileontiadou

  3. Department of Electrical Engineering and Computer Science, Department of Biomedical Engineer, Khalifa University of Science and Technology, Abu Dhabi, UAE

    Leontios J. Hadjileontiadis

  4. Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Leontios J. Hadjileontiadis

Authors
  1. Sofia B. Dias
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  2. Sofia J. Hadjileontiadou
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  3. J. Alves Diniz
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  4. Leontios J. Hadjileontiadis
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Corresponding author

Correspondence to Sofia B. Dias .

Editor information

Editors and Affiliations

  1. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    Arsénio Reis

  2. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    João Barroso

  3. University of Trás-os-Montes e Alto Douro, Vila Real, Portugal

    J. Bernardino Lopes

  4. University of Ioannina, Ioannina, Greece

    Tassos Mikropoulos

  5. National Hua-Lien University of Education, Hualien City, Taiwan

    Chih-Wen Fan

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Dias, S.B., Hadjileontiadou, S.J., Alves Diniz, J., Hadjileontiadis, L.J. (2021). FuzzyQoI-Based Estimation of the Quality of Interaction in Online Learning Amid Covid-19: A Greek Case-Study. In: Reis, A., Barroso, J., Lopes, J.B., Mikropoulos, T., Fan, CW. (eds) Technology and Innovation in Learning, Teaching and Education. TECH-EDU 2020. Communications in Computer and Information Science, vol 1384. Springer, Cham. https://doi.org/10.1007/978-3-030-73988-1_19

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  • DOI: https://doi.org/10.1007/978-3-030-73988-1_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-73987-4

  • Online ISBN: 978-3-030-73988-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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