Vol. 2026 No. 5 (2026)
Articles

Opportunities and challenges in big‑data‑driven environmental science and engineering teaching

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  • Lena  Fischer,
  • Tim  Hoffmann,
  • Sarah  Becker
Lena  Fischer
Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
Tim  Hoffmann
Loughborough University, Epinal Way, Loughborough, Leicestershire, LE11 3TU, United Kingdom
Sarah  Becker
Loughborough University, Epinal Way, Loughborough, Leicestershire, LE11 3TU, United Kingdom

Published 24-09-2026

Keywords

  • Big Data,
  • Environmental Science and Engineering Majo,
  • Teaching Innovation and Reform

Copyright (c) 2026 Cambridge Science Advance

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

[1]
L. Fischer, T. Hoffmann, and S.  Becker, “Opportunities and challenges in big‑data‑driven environmental science and engineering teaching”, Camb. Sci. Adv., vol. 2026, no. 5, pp. 8–12, Sep. 2026, doi: 10.62852/csa/2026/303.

Abstract

With the rapid development of information technologies such as cloud computing and petabyte‑level storage, big data is impacting social development and people’s daily lives in an unprecedented manner. As a sunrise discipline, environmental science and engineering is confronted with how to respond to the opportunities and challenges brought by the big‑data era, which constitutes an important subject for front‑line university teachers. This paper introduces the concept and basic characteristics of big data, and discusses its penetrating effects on the teaching of environmental science and engineering: improving the forward‑looking nature of teaching content, promoting the transformation of teaching modes, and developing an accurate and precise personalized teaching system.

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References

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