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Feasibility Study of Optimizing Junior High School English Writing Assessment and Feedback Using Technological Means
This paper explores the feasibility of using Natural Language Processing, Machine Learning, and AI to optimize assessment and feedback for junior high school English writing, aiming to improve efficiency and provide personalized feedback to students. The study implements technology-based writing assessment tools and evaluates their effectiveness in enhancing writing instruction quality and student motivation.
: With the rapid development and widespread application of educational technology, the practice of optimizing the assessment and feedback of junior high school English writing using technological means has become an important research direction in the field of English teaching. This study aims to explore the feasibility of utilizing modern information technology such as Natural Language Processing (NLP), Machine Learning (ML), and Artificial Intelligence (AI) to optimize the process of assessmen