Exploration of Using an Artificial Intelligence-Assisted Adaptive Learning Platform to Enhance the Effect of Interactive Teaching in College English Classrooms

Read full text
Authors: Hong Meng
Cited by: 0

Abstract

University English courses have poor classroom interaction due to the limitations of learning time and environment, so there is an urgent need to establish a benign teacher-student interaction. In this paper, based on the learning model of adaptive learning platform, a fuzzy neural network system is utilized to design the outline of adaptive learning platform. The theoretical model of teaching interaction is introduced, and the English adaptive learning platform based on ANFIS system is designed under the conceptual interaction, information interaction and operational interaction. Teaching interaction behaviors in the English classroom are analyzed, and the teacher-student verbal and behavioral rates of applying the adaptive learning platform for learning are comparable, basically staying at about 50%. Using the random survey method combined with pre and post-tests to measure the changes in students' experience of classroom interaction, after the implementation of the adaptive classroom, students' classroom experience changes significantly, students are interested in the English classroom, an increase of 31.43% compared with the previous, indicating that the implementation of the adaptive English learning platform, the classroom is welcomed by the students, and the effectiveness of the teaching and learning has been significantly improved.

Fields of Study & Subjects

Educational Technology and Pedagogy Intelligent Tutoring Systems and Adaptive Learning Artificial Intelligence in Education

Publication details

Journal / source
International Journal of Computer Information Systems and Industrial Management Applications
Volume
18
Pages
18–18
Publication date
7 February 2026
Language
EN