This paper constructs a two-dimensional optimization model of “environment-language” and proposes an optimization scheme of acoustic, optical and thermal environmental parameters with reference to human factors and ecological characteristics. When the decibel value of acoustic environment is ≤45dB, the recognition rate of English language is improved by 19%. By controlling the light gradient, the language learning efficiency was increased by 24%. The EESO assessment tool of this study integrates ecological and educational indicators, and achieves an increase in residents’ English language usage rate from up to 36% in an eco-community application, which extends the learning focus time by 1.8 hours. The results of this study provide both scientific and practical solutions for community education, cultural capital accumulation, and the goal of “dual-carbon”, filling the gap of eco-housing design in the dimension of educational function, and contributing to the synergistic promotion of sustainable cities and communities.
