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Lin, H.L., Ding, J., Zhuo, L., et al. (2020) Exploration and Reflection on the Reform of “Data Mining” Course in Applied Undergraduate Education. Journal of Fujian Financial Management Cadre College, No. 4, 58-62.

has been cited by the following article:

• TITLE: Research on Teaching Reform of Data Mining and Machine Learning Courses in Applied Universities

  AUTHORS: Hui Zhang, Yongfeng Zhang, Xiao Zhang, Tongxing Li, Jiaojiao Zhao

  KEYWORDS: Data Mining and Machine Learning, Applied Universities, Teaching Reform

  JOURNAL NAME: Open Access Library Journal, Vol.12 No.1, January 9, 2025

  ABSTRACT: This article first points out the problems in curriculum teaching: lack of emphasis on interest cultivation and poor internal motivation for learning, the teaching content is disconnected from social needs, aging teaching methods, lack of teaching feedback loop, etc. Then, teaching reform strategies were proposed: optimize teaching content based on enterprise needs, put students at the center and optimize teaching design, adopt an evaluation mechanism, and focus on teaching feedback. Based on the above, we have found a teaching model that can cultivate students’ ability to use data mining knowledge to solve practical problems and improve their employment competitiveness. This model has strong application and promotion value.