Construction of a Big Data-Driven Personalized English Learning Path Planning Model
Abstract
With the rapid development of big data technology, personalized learning path planning has become increasingly important in the field of language education. This paper proposes a big data analytics-based personalized English learning path planning model, aiming to provide learners with customized learning solutions to improve learning efficiency and effectiveness. The model dynamically generates personalized learning paths by analyzing learners’ behaviors, achievements, and preferences, combined with an English language knowledge base.
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