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Design of Interactive Teaching Platform for English Writing Based on Reinforcement Learning

  • Xiaofang Wang

摘要

In traditional English writing education, learners usually complete a series of homework under the guidance of teachers, and then accept teachers’ comments and feedback. However, there are some shortcomings in this method, including lack of individuality, low enthusiasm of learners and difficulty in meeting the needs of different learners. The interactive teaching platform of English writing based on Reinforcement Learning (RF) is an innovative educational tool, aiming at improving students’ English writing ability. The design of this teaching platform integrates RF principle, aiming at providing students with personalized and real-time English writing guidance. The experimental results show that the platform significantly improves students’ writing skills and makes them express their ideas more confidently and fluently. Through personalized task and feedback mechanism, students can adjust their learning process according to their own level and needs, thus improving their writing quality more effectively. In addition, the reward system and incentive factors of the platform stimulate students’ interest in learning and make them more motivated to participate in writing tasks. This tool has also introduced more technological innovations into the field of education and provided students with an interactive and interesting learning experience.