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MONICA “On-the-Job” Technology-Enhanced Learning Environment: An Empirical Evaluation

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Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference (MIS4TEL 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 326))

Abstract

Nowadays, given the rapid changes due to the fourth industrial revolution, information and communication technology designers often find themselves without space and time to learn while working. This issue is especially evident for on-chip monitoring system designers: usually, they have to face significant design challenges due to the complexity and heterogeneity of the systems to be monitored. To meet their needs, in this paper, an “on-the-job” Technology-Enhanced Learning environment, called MONICA, is proposed. The paper especially focuses on the MONICA learning model that serves as a guide for designers to improve their knowledge of the monitoring system domain at the same moment they are “on-the-job”. Moreover, an empirical evaluation of the MONICA learning model is reported, demonstrating its effectiveness and highlighting the designer’s satisfaction.

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Acknowledgement

This work is part of the FitOptiVis project [1, 24] funded by the ECSEL Joint Undertaking under grant number H2020-ECSEL-2017-2-783162.

Author information

Authors and Affiliations

  1. DISIM, University of L’Aquila, 67100, L’Aquila (AQ), Italy

    Federica Caruso, Tania Di Mascio & Giacomo Valente

  2. Center of Excellence DEWS, University of L’Aquila, 67100, L’Aquila (AQ), Italy

    Sara Peretti

  3. DISIM/Center of Excellence DEWS, University of L’Aquila, 67100, L’Aquila (AQ), Italy

    Luigi Pomante

Authors
  1. Federica Caruso
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  2. Tania Di Mascio
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  3. Sara Peretti
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  4. Luigi Pomante
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  5. Giacomo Valente
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Corresponding author

Correspondence to Federica Caruso .

Editor information

Editors and Affiliations

  1. Edificio Multiusos I+D+I, Sala 24.1, University of Salamanca, Salamanca, Salamanca, Spain

    Fernando De la Prieta

  2. Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy

    Rosella Gennari

  3. Department of Computer, Control and Management Engineering, Sapienza University, Rome, Italy

    Marco Temperini

  4. Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, L'Aquila, L'Aquila, Italy

    Tania Di Mascio

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

    Pierpaolo Vittorini

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

    Zuzana Kubincova

  7. Computer and Information Technology, University of Craiova, Craiova, Romania

    Elvira Popescu

  8. CIICESI, ESTG, Polytechnic of Porto, Felgueiras, Portugal

    Davide Rua Carneiro

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

    Loreto Lancia

  10. Università degli Studi di Salerno, Fisciano, Italy

    Agnese Addone

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Caruso, F., Di Mascio, T., Peretti, S., Pomante, L., Valente, G. (2022). MONICA “On-the-Job” Technology-Enhanced Learning Environment: An Empirical Evaluation. In: De la Prieta, F., et al. Methodologies and Intelligent Systems for Technology Enhanced Learning, 11th International Conference. MIS4TEL 2021. Lecture Notes in Networks and Systems, vol 326. Springer, Cham. https://doi.org/10.1007/978-3-030-86618-1_6

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