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

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.