Exploration of Using an Artificial Intelligence-Assisted Adaptive Learning Platform to Enhance the Effect of Interactive Teaching in College English Classrooms
DOI:
https://doi.org/10.70917/ijcisim-2026-0235Keywords:
Adaptive Learning Platform; Fuzzy Neural Network System; Teaching Interaction Theory; English Classroom InteractionAbstract
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.
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Copyright (c) 2026 Hong Meng

This work is licensed under a Creative Commons Attribution 4.0 International License.