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Leveraging Cognitive and Social Engagement in Blended Learning Through an AI-Augmented Pedagogical Framework

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Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference (MIS4TEL 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 769))

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Abstract

This paper proposes a new methodological approach for assessing and leveraging student engagement in a tertiary education course that builds on recent artificial intelligence advancements and the TPACK (Technological Pedagogical Content Knowledge) model. We describe how, through the design of a course that is based on Moodle and the utilization of different pedagogical and conceptual tools, we collect and process data aiming to enhance the course with techniques that may provide students and tutors with valuable insights and recommendations towards achieving better performance.

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Acknowledgements

This work received funding from the Horizon Europe research and innovation programme under Grant Agreement No. 101061509, project augMENTOR (Augmented Intelligence for Pedagogically Sustained Training and Education).

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Authors and Affiliations

  1. University of Patras, 26504, Rio Patras, Greece

    Andromachi Filippidi, Christophoros Karachristos, Konstantinos Lavidas, Vassilis Komis & Nikos Karacapilidis

Authors
  1. Andromachi Filippidi
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  2. Christophoros Karachristos
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  3. Konstantinos Lavidas
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  4. Vassilis Komis
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  5. Nikos Karacapilidis
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Corresponding author

Correspondence to Andromachi Filippidi .

Editor information

Editors and Affiliations

  1. Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava, Slovakia

    Zuzana Kubincová

  2. University of L'Aquila, L'Aquila, Italy

    Federica Caruso

  3. Universitetet i Tromsø (UiT) – Norges arktiske universitet, Tromsø, Norway

    Tae-eun Kim

  4. Technical University of Sofia , Sofia, Bulgaria

    Malinka Ivanova

  5. Department of Life, Health and Environmental Sciences, University of L'Aquila, Coppito, Italy

    Loreto Lancia

  6. Department of Computer Science, University of Salerno, FISCIANO, Salerno, Italy

    Maria Angela Pellegrino

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Filippidi, A., Karachristos, C., Lavidas, K., Komis, V., Karacapilidis, N. (2023). Leveraging Cognitive and Social Engagement in Blended Learning Through an AI-Augmented Pedagogical Framework. In: Kubincová, Z., Caruso, F., Kim, Te., Ivanova, M., Lancia, L., Pellegrino, M.A. (eds) Methodologies and Intelligent Systems for Technology Enhanced Learning, Workshops - 13th International Conference. MIS4TEL 2023. Lecture Notes in Networks and Systems, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-031-42134-1_3

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