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Use of Digital Tools Contributing to the Digital Transition in Engineering and Data Science Courses

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Towards a Hybrid, Flexible and Socially Engaged Higher Education (ICL 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 899))

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Abstract

Digital technologies represent important tools for achieving quality education, which is one of the fundamental components of the United Nations’ sustainable development 2030 agenda. Teaching and learning processes can benefit from the use of digital tools, improving teachers’ productivity and giving students flexibility and support for collaborative work, contributing to their engagement. Particularly in engineering courses, open-source digital tools, such as Jupyter Notebook and Moodle, among many others, provide a suitable environment to develop and share educational materials, combining different types of resources and enabling the use of different programming languages. These tools can be used in a classroom context as well as for assessment purposes. This article presents examples of the use of technology to enhance teaching and learning in Engineering and Data Science courses, seeking to contribute to the development of innovative teaching methodologies in engineering, promoting the digital transition in education.

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References

  1. Haleem, A., Javaid, M., Qadri, M.A., Suman, R.: Understanding the role of digital technologies in education: a review. Sustain. Operat. Comput. 3, 275–285 (2022)

    Article  Google Scholar 

  2. Abdulrahaman, M.D., Faruk, N., Oloyede, A.A., Surajudeen-Bakinde, N.T., Olawoyin, L.A., Mejabi, O.V., Imam-Fulani, Y.O., Fahm, A.O., Azeez, A.L.: Multimedia tools in the teaching and learning processes: a systematic review. Heliyon 6(11) (2020)

    Google Scholar 

  3. Kustec, S., Vestager, M.: Digital transition in education is already taking place but it needs to be accelerated, Article of the Slovenian Presidency of the Council of the European Union 2021 (2022)

    Google Scholar 

  4. Raju, A.B.: IPython notebook for teaching and learning. In: Natarajan R. (Eds) Proceedings of the International Conference on Transformations in Engineering Education. Springer, New Delhi (2015)

    Google Scholar 

  5. Kluyver, T., Ragan-Kelley, B., Pérez, F., Granger, B., Bussonnier, M., Frederic, J., Kelley, K., Hamrick, J., Grout, J., Corlay, S., Ivanov, P., Avila, D., Abdalla, S., Willing, C.: Jupyter development team: Jupyter notebooks—a publishing format for reproducible computational workflows. In ebook “Positioning and Power in Academic Publishing: Players, Agents and Agendas”, pp 87–90 (2016)

    Google Scholar 

  6. Bascuñana, J., León, S., González-Miquel, M., González, E.J., Ramírez, J.: Impact of Jupyter Notebook as a tool to enhance the learning process in chemical engineering modules. Educ. Chem. Eng. 44, 155–163 (2023)

    Article  Google Scholar 

  7. Cardoso, A., Teixeira, C., Henriques, J., Dourado, A.: Internet-based resources to support teaching of modelling, simulation and control of physiological systems in biomedical engineering courses. In Proceedings of the 11th IFAC Symposium on Advances in Control Education (ACE2016), pp. 332–337 (2016)

    Google Scholar 

  8. Ralph, B.J., Woschank, M., Pacher, C., Murphy, M.: Evidence-based redesign of engineering education lectures: theoretical framework and preliminary empirical evidence. Eur. J. Eng. Educ. 47(4), 636–663 (2022)

    Article  Google Scholar 

  9. Cardoso, A., Leitão, J., Teixeira, C.: Using the Jupyter notebook as a tool to support the teaching and learning processes in engineering courses. In Proceedings of ICL2018 (2018)

    Google Scholar 

  10. Dhar, V.: Data science and prediction. Communic. Assoc. Comput. Mach. (ACM). 56(12), 64–73 (2013)

    Google Scholar 

  11. Leek, J.: The key word in “Data Science” is not Data, it is Science. Simply Statistics (2013) (https://simplystatistics.org/)

Download references

Acknowledgment

This work is funded by the FCT - Foundation for Science and Technology, I.P./MCTES through national funds (PIDDAC), within the scope of CISUC R&D Unit - UIDB/00326/2020 or project code UIDP/00326/2020.

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Correspondence to Alberto Cardoso .

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Cardoso, A., Henriques, J. (2024). Use of Digital Tools Contributing to the Digital Transition in Engineering and Data Science Courses. In: Auer, M.E., Cukierman, U.R., Vendrell Vidal, E., Tovar Caro, E. (eds) Towards a Hybrid, Flexible and Socially Engaged Higher Education. ICL 2023. Lecture Notes in Networks and Systems, vol 899. Springer, Cham. https://doi.org/10.1007/978-3-031-51979-6_34

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