Optimization of Computer Teaching Strategy Based on Genetic Algorithm

The application of computer technology in the field of education has made great progress. More and more educational problems are solved by using computers. The optimization of teaching strategy is also an important link in the field of education. How to use computer technology to optimize teaching strategy to overcome the disadvantages of subjectivity and randomness of traditional optimization method is a new research aspect of computer application in the field of education. Based on this, this paper studies the optimization of computer teaching strategy based on genetic algorithm. This paper designs an evaluation mechanism of teaching strategy, and on this basis, uses genetic algorithm to optimize teaching strategy, so as to achieve the purpose of continuous evolution and optimization of teaching strategy with the change of teaching content and teaching object. At the same time, the teaching strategy optimization system based on genetic algorithm is designed and implemented. In one academic year, this paper tracks the use of the teaching strategy optimization system by the students of one or two classes in their university and their two teachers in the semester. The experimental group used the system optimization teaching strategy, while the control group did not use the optimization strategy. The results show that the average teaching performance evaluation of the experimental group is 4 points higher than that of the control group. Therefore, genetic algorithm is a kind of parallel optimization algorithm, which is very suitable for solving the problem of computer teaching strategy optimization. The optimization effect of the final generated teaching strategy meets the requirements, has high credibility and achieves good results.