The use of data innovation has led to changes in people’s lifestyle and productivity, as well as in the mode of schooling and educating. As the application of data innovation in the field of schooling turns out to be increasingly extensive, there is a growing use of modern technology and methods of data presentation. This paper aims to promote an alternative language teaching mode in the PC network environment and support the ecological development of online language teaching. This paper proposes using educational environments to guide the integration of computer networks and foreign language courses, which can help address the imbalanced foundations and environmental disturbances in online language teaching. The principals and laws of schooling environment are utilized to create and improve a teaching model that can be environmentally adapted for online foreign language teaching. In the process of testing the teaching system, the experimental results demonstrate that the adaptive GA-BPNN algorithm converged in only 6 iterations with a smooth error sum of 0.19, which increased convergence speed by 76%. The mean sum of squared error was also reduced by 79%. The comparison shows that the adaptive GA-BPNN variant can quickly achieve global optimization.