Constructing an Evaluation Framework for English Teaching in Higher Education: Integrating Neural Networks and Natural Language Processing
摘要
In the dynamic landscape of higher education, the effectiveness of English teaching is paramount, as it directly impacts students’ communication skills, academic success, and future career prospects. To enhance the quality of English instruction in higher education, this study presents an innovative evaluation model that harnesses the power of neural networks and natural language processing (NLP). The model's potential for customization and scalability makes it a valuable tool for higher education institutions seeking to optimize their English teaching programs. Furthermore, it contributes to the broader exploration of how AI and NLP technologies can transform the field of education, fostering more efficient and personalized learning experiences.