Design of English Teaching Evaluation System Based on Computer and Intelligent Algorithms

Due to the advancement in technology and its widespread implementation in the educational sector, intelligent algorithms’ integration has inculcated a significant change in the assessment systems in teaching English. The purpose of this paper is to propose the design and implementation of an English Teaching Evaluation System using computer technology and intelligent algorithms. The system employs machine learning models and natural language processing methods that provide an exhaustive and precise evaluation of the students’ language competency. These include features like Auto-grading, which recognizes written assignments; Pronunciation Feedback that provides feedback to the learner during their speech; and Dynamic Assessment, which allows testing based on the learner’s learning style. Through the use of big data analysis, the system provides targeted learning opportunities while increasing teacher effectiveness. Findings from the experiment show the efficacy of the system in enhancing learning and enhancing the effectiveness of instructional methods. This research offers a fresh perspective on the evaluation of English language in the present day and age and has a promising prospect of enhancing the quality of education through tech advancements.