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Automatic tutoring system to support cross-disciplinary training in Big Data

The Journal of Supercomputing volume 77, pages 1818–1852 (2021)Cite this article

Abstract

During the last decade, Big Data has emerged as a powerful alternative to address latent challenges in scalable data management. The ever-growing amount and rapid evolution of tools, techniques, and technologies associated to Big Data require a broad skill set and deep knowledge of several domains—ranging from engineering to business, including computer science, networking, or analytics among others—which complicate the conception and deployment of academic programs and methodologies able to effectively train students in this discipline. The purpose of this paper is to propose a learning and teaching framework committed to train masters’ students in Big Data by conceiving an intelligent tutoring system aimed to (1) automatically tracking students’ progress, (2) effectively exploiting the diversity of their backgrounds, and (3) assisting the teaching staff on the course operation. Obtained results endorse the feasibility of this proposal and encourage practitioners to use this approach in other domains.

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Notes

  1. Sagittarius is an open-source project from La Salle Campus Barcelona—Universitat Ramon Llull than can be freely used and downloaded from https://github.com/xavier-sole-beteta/sagittarius.git.

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Acknowledgements

Authors acknowledge the help and collaboration of Guillem Villa on the restyling of the graphical artworks of this paper. This research was partially supported by Secretaria d’Universitats i Recerca of the Department of Business and Knowledge of the Generalitat de Catalunya under grants 2017-SGR-934 and 2017-SGR-977. Also, authors gratefully acknowledge the support of NVIDIA Corporation with the donation of the Titan Xp GPU used for this research.

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Authors and Affiliations

  1. Grup de Recerca en Internet Technologies and Storage, La Salle — Universitat Ramon Llull, Barcelona, Spain

    Xavier Solé-Beteta, Joan Navarro, David Vernet, Agustín Zaballos, Ricardo Torres-Kompen, David Fonseca & Alan Briones

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  1. Xavier Solé-Beteta
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  2. Joan Navarro
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Correspondence to Joan Navarro.

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Solé-Beteta, X., Navarro, J., Vernet, D. et al. Automatic tutoring system to support cross-disciplinary training in Big Data. J Supercomput 77, 1818–1852 (2021). https://doi.org/10.1007/s11227-020-03330-x

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