Construction of AI Driven Personalized Learning Path for College English and Quantitative Analysis of Teaching Effectiveness
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Abstract
Given the digital transformation in education and the reform of college English teaching, the traditional “one size fits all ” model fails to address individual learning needs or the specialized language requirements needed in different academic and engineering contexts. This lack of adaptability hinders the development of core literacy and precise communication skills. Artificial intelligence (AI) technology, with its core advantages such as big data analysis, adaptive recommendation, and intelligent evaluation, provides technical support and methodological guarantees for solving traditional teaching difficulties and building personalized learning paths.
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