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Teaching Dataset Creation in a Classroom Environment

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Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference (MIS4TEL 2024)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 1171))

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Abstract

Datasets are crucial for data-driven decision-making in businesses and organizations, allowing for the optimization of processes and the identification of improvement opportunities. They are foundational for training machine learning models to recognize patterns and make predictions, encompassing various forms of data from simple text and numbers to complex images and graphs. Furthermore, datasets are vital for educating future data scientists and machine learning engineers, offering hands-on experience that enhances analytical skills and practical knowledge. However, a gap in university curricula regarding dataset creation skills is noted, which is essential for ensuring the quality of datasets and the robustness of decision processes. This paper proposes to address this educational gap by developing methodologies for teaching dataset creation within university settings, mindful of the distinct skill levels of students compared to professionals.

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Notes

  1. 1.

    https://github.com/HumanSignal/label-studio/.

  2. 2.

    https://en.wikipedia.org/wiki/Doctor_Cha.

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Author information

Authors and Affiliations

  1. LUMSA University, Rome, Italy

    Paolo Fantozzi & Maurizio Naldi

  2. Roma Tre University, Rome, Italy

    Maurizio Naldi

  3. International Telematic University Uninettuno, Rome, Italy

    Luigi Laura

Authors
  1. Paolo Fantozzi
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  2. Luigi Laura
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  3. Maurizio Naldi
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Corresponding author

Correspondence to Luigi Laura .

Editor information

Editors and Affiliations

  1. The Open University, Milton Keynes, UK

    Christothea Herodotou

  2. Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway

    Sofia Papavlasopoulou

  3. Department of Communication and Art, University of Aveiro, Aveiro, Portugal

    Carlos Santos

  4. Linnaeus University, Växjö, Sweden

    Marcelo Milrad

  5. University of Greenwich, London, UK

    Nuno Otero

  6. Edificio Delta 6, University of L'Aquila, L'Aquila, L'Aquila, Italy

    Pierpaolo Vittorini

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

    Rosella Gennari

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

    Tania Di Mascio

  9. Dipartimento di Ingegneria Informatica, Sapienza Universita' di Roma, Rome, Italy

    Marco Temperini

  10. Biotechnology, Intelligent Systems and Educational Technology (BISITE) Research Group, University of Salamanca, Salamanca, Spain

    Fernando De la Prieta

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Fantozzi, P., Laura, L., Naldi, M. (2024). Teaching Dataset Creation in a Classroom Environment. In: Herodotou, C., et al. Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference. MIS4TEL 2024. Lecture Notes in Networks and Systems, vol 1171. Springer, Cham. https://doi.org/10.1007/978-3-031-73538-7_19

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