ARTICLE
Volume 8,Issue 7
13 August 2026
Research on Practical Teaching for Big Data Majors in the Era of Artificial Intelligence
Guoyu Lin ,
Baozhu Fan ,
Zibo Chen
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1
Guangzhou College of Technology and Business, Guangzhou 510850, Guangdong, China,
2
Guangzhou College of Technology and Business, Guangzhou 510850, Guangdong, China,
3
Guangzhou College of Technology and Business, Guangzhou 510850, Guangdong, China,
erd 2026 , 8(7), 140–144;
https://doi.org/10.26689/erd.v8i7.15914
© 2026 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract
Against the backdrop of artificial intelligence and digital economy development, practical teaching for big data majors needs to shift its focus from knowledge transmission to competency cultivation. At present, prominent problems including outdated teaching content and insufficient practical training remain prevalent. To address these issues, this paper proposes AI-enabled teaching reforms: constructing an “AI + Knowledge Graph” intelligent teaching system, building intelligent practical training environments, advancing project-driven teaching and the integration of “posts, courses, competitions, certificates and innovation”, deepening industry-education integration, and establishing a closed-loop evaluation system. These measures will drive scenario-based and personalized teaching transformation, strengthen students’ engineering practice and problem-solving capabilities, and lay solid foundations for the cultivation of application-oriented talents.
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