Intelligent Tutoring System for English Language Acquisition Based on Computer Algorithms

With the continuous deepening of computer application, computer-assisted instruction (CAI) has made remarkable progress in foreign language learning. Foreign language learning mainly relies on memory-based learning methods, and CAI has a unique advantage in assisting memory by providing information in the form of visuals, images, sounds and animations, thus constructing a multidimensional knowledge layer in the brain and enhancing learning efficiency. At present, CAI English learning software mainly focuses on memorizing words and quizzes, but tutoring software specifically for college English level exams is scarce. In this paper, based on computer algorithms, combining collaborative filtering algorithm and convolutional neural network algorithm, an intelligent tutoring system for English language acquisition is designed and realized. The experimental data show that students using the intelligent tutoring system show more significant improvement in English proficiency improvement than traditional learning methods, and the average improvement score of the experimental group is about 6 points higher than that of the control group, further verifying the effectiveness of the system in improving learning efficiency.