The current language learning environment is facing an important opportunity of digital transformation, and the traditional English education space has been difficult to meet the demand for personalized and intelligent learning. Intelligent housing, as an emerging form of residence, provides a new space carrier and technical support for English education. By deeply integrating advanced intelligent technology with English education and constructing immersive and interactive learning environments, it can effectively break through the limitations of traditional educational spaces and enhance learners’ language acquisition efficiency and the quality of learning experience. This study adopts the questionnaire survey method and comparative experimental method to construct a research model containing five dimensions: intelligent environment design, technology integration, psychological and behavioral influence, social interaction support, and sustainability, and to explore the mechanism of the influence of the integration of English education space into the design of intelligent housing on the efficiency of language learning. By pre-testing 100 students and using SPSS software for exploratory factor analysis, 22 valid question items were identified. The questionnaire reliability test showed a Cronbach’s alpha coefficient of 0.966 and a KMO value of 0.952, indicating that the scale has good reliability and validity. The results of multiple linear regression analysis showed R²=0.998, adjusted R²=0.996, F=7632.432, and excellent model fit. The results of the control experiment showed that the average theoretical score of the experimental group was 81.65, which was 7 points higher than that of the control group, and the average practical training score was 87.95, which was 5.33 points higher than that of the control group, and the differences were all statistically significant (p<0.05). The study confirms that smart housing English education space can significantly improve learning efficiency, in which the acoustic optimization design has the most significant impact (correlation coefficient 0.881), which provides an important reference basis for the future design of smart education space.
