An Experimental Study on the Pair-Sharing Classroom Model Based on Artificial Intelligence Platform in Higher Vocational English Teaching

To improve the teaching efficiency of English in higher education, this paper constructs a pair-sharing classroom teaching model based on an artificial intelligence platform. The RBM (Restricted Boltzmann Machine) algorithm is used to inform the learning behavior of college students and identify the educational information data of college students through feature extraction. The Gibbs sampling algorithm is introduced in calculating index weights and parameters to improve the data mining efficiency and ensure the validity of obtaining the evaluation indexes of English teaching mode for higher education. The application effect of higher vocational English teaching was tested in practice to verify the feasibility of the AI platform-based pair-sharing classroom teaching model. The results show that the teaching model constructed in this paper can effectively improve students’ learning efficiency in higher vocational English teaching, and the proportion of students in the 90–100 score range increases from about 3%–6% to 25%. The students’ satisfaction with the teaching effect and class evaluation is around 80%. Thus, it can be seen that the pair-sharing classroom teaching model constructed in this paper has improved the effect of teaching English in higher education.