International Journal of Computational Linguistics Research Chao Zhou 16 1 2025 https://doi.org/10.6025/ijclr/2025/16/1/26-33 https://www.dline.info/jcl/fulltext/v16n1/jclv16n1_4.pdf Currently, research on effective teaching behavior of linguistics education teachers could be more substantial, severely hindering linguistics education’s high-quality development. Therefore, this study focuses on exploring the effective teaching behavior of linguistics education teachers based on hybrid intelligent algorithms to help them achieve teaching objectives more effectively. Hypotheses of effective teaching behavior are constructed using the Delphi method, and advantageous teaching behaviors of expert linguistics education teachers are identified through comparison. Pearson correlation analysis is employed to validate effective teaching behavior. At a macro level, there are 14 types of effective teaching behavior for linguistics education teachers. Through deep data analysis and interpretation, these 14 effective teaching behaviors can be clustered into four deeper dimensions: evaluative teaching behavior, student-oriented teaching behavior, teacher-student integration teaching behavior, and classroom organization and construction teaching behavior. They present a pyramid model with proportions of 6.7:5:4.2:3 from the base to the top. Conducting effective teaching based on this pyramid model can achieve significant results. The teaching level of outstanding linguistics education teachers determines the competitiveness of a school. Therefore, it is necessary to understand their teaching methods, principles of work, and ways of expression further to guide their work and help them establish a more efficient classroom atmosphere, thus improving the overall level of linguistics education in the entire school.