The Use of Thinking Visualization Techniques in College Teaching Based on Improved Genetic Algorithms

Current educational resources do not maximize energy efficiency, and scientific and proven teaching methods are necessary for today’s university education to help achieve the integration of teaching resources and improve teaching quality. This study discusses the application of artificial intelligence and thinking visualization technology in college education and teaching, firstly introduces the advantageous role of genetic algorithm in artificial intelligence and the energy efficiency of thinking visualization technology, then conducts a research analysis, introduces genetic algorithm as technical support in teaching and learning, uses thinking visualization technology as a tool, aims to study the application of thinking visualization technology in college teaching, and expects to use genetic algorithm and thinking visualization techniques to improve teaching effectiveness. The experimental results show that genetic algorithm and thinking visualization technology can effectively optimize the co-giving of educational services, reduce the workload of teachers, while reducing the cost of learning, enhance the learning effect and experience, and improve students' efficient thinking.