Keywords
Big data
Practical teaching
Teaching model
Published : 2026-08-13
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 At present, prominent problems including outdated teaching content and insufficient practical training remain prevalent.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.
References
Wang S, Wang F, Zhu Z, Wang J, Tran T, Du Z, 2024, Artificial Intelligence in Education: A Systematic Literature Review. Expert Systems with Applications, 252: 124167.
Long DY, Wang S, Rashid SM, Lu XT, 2025, Artificial Intelligence in Higher Education: A Systematic Review of Its Impact on Student Engagement and the Mediating Role of Teaching Methods. Frontiers in Education, 10: 1648661.
Kumar S, Rao P, Singhal S, Verma S, 2024, Will Artificial Intelligence Drive the Advancements in Higher Education? A Tri-Phased Exploration. Technological Forecasting and Social Change, 201: 123258.
National Development and Reform Commission, National Data Administration, Ministry of Education, Ministry of Science and Technology, Organization Department of the CPC Central Committee, 2025, Opinions on Strengthening the Discipline Construction of Data Elements and the Development of Digital Talent Teams: Document No. FG Data (2025) 1425, visited on June 25, 2026, https://www.ndrc.gov.cn/xwdt/tzgg/202512/t20251202_1402115_ext.html.
Ministry of Education, National Development and Reform Commission, Ministry of Industry and Information Technology, Ministry of Science and Technology, National Data Administration, 2026, Notice Issued by Five Departments Including the Ministry of Education on Printing and Distributing the Action Plan for “Artificial Intelligence + Education”: Document No. Jiao Ke Xin (2026) 1, visited on June 25, 2026, http://www.moe.gov.cn/srcsite/A16/s3342/202604/t20260410_1433240.html.
Sun K, Deng X, Wang J, 2023, Research on Practical Teaching System for Data Science and Big Data Majors Under Emerging Engineering Education Background. Journal of Higher Education, 9(14): 5–8.
Shi Z, Zhao F, 2024, Thoughts on the Transformation of Education Empowered by Generative Artificial Intelligence. Advances in Education, 14(5): 950–956.
Yang X, Zeng J, Li X, 2025, Scenario Refinement and Practical Implementation of Deep Integration Between Artificial Intelligence and Education—Based on Exploratory Multiple Case Analysis. Open Education Research, 31(1): 82–92.
Li J, Liu B, Deng X, Lu X, Du Y, Sun K, Ding X, Wang J, 2025, Research on the Reform of AI-Enabled Big Data Development Practical Courses—Taking Big Data System Development Practice as an Example. Research on Innovative Education, 13(11): 132–140.
Liu J, Fang Y, 2024, Exploration of Practical Teaching Mode for Data Science and Big Data Technology Majors. China New Telecommunications, 26(4): 96–98.
Canal-Esteve M, Gutiérrez Y, 2024, Educational Material to Knowledge Graph Conversion: A Methodology to Enhance Digital Education. Proceedings of the 1st Workshop on Knowledge Graphs and Large Language Models, Bangkok: Association for Computational Linguistics, 85–91.
Gao R, Merzdorf HE, Anwar S, Hipwell MC, Srinivasa AR, 2024, Automatic Assessment of Text-Based Responses in Post-Secondary Education: A Systematic Review. Computers and Education: Artificial Intelligence, 6: 100206.
Wang P, Jing Y, Shen S, 2025, A Systematic Literature Review on the Application of Generative Artificial Intelligence (GAI) in Teaching Within Higher Education: Instructional Contexts, Process, and Strategies. The Internet and Higher Education: 100996.
Chiu TKF, 2024, Future Research Recommendations for Transforming Higher Education with Generative AI. Computers and Education: Artificial Intelligence, 6: 100197.
Wang H, Li B, 2024, Research on the Integration Path of “Posts, Courses, Competitions and Certificates” Based on the “1+X” Certificate System. Journal of Yellow River Conservancy Technical Institute, 36(1): 91–94.