Research on the construction and practice of precision teaching mode of higher vocational education driven by big data

With the rapid development of big data technology, the field of education is undergoing major changes. The traditional "experimental teaching" model is gradually changing to the "data teaching" model. However, higher vocational education still has shortcomings in teaching and evaluation. This paper discusses the precise application of big data technology in higher vocational teaching, based on personalized learning‎[1]. Specifically, this research constructs a dynamic resource library, an intelligent learning recommendation system, and a multi-dimensional evaluation model, and conducts experiments in the course "Electrical Control Technology". The results showed a 12% increase in students' average grade points and a 26% increase in learning efficiency. This also shows that big data technology can solve this opposing problem of "scale training" and "personality training". This also provides a replicable example for the digital transformation of vocational education.