Research on Artificial Intelligence Empowered ESP Learner Profile Construction and Personalized Teaching Pathways

Lina Li; Yu Wang

doi:10.47297/wspiedWSP2516-250023.20261003

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Volume 10, Issue 3

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Research on Artificial Intelligence Empowered ESP Learner Profile Construction and Personalized Teaching Pathways
Research on Artificial Intelligence Empowered ESP Learner Profile Construction and Personalized Teaching Pathways
Wuchang University of Technology, Wuhan, Hubei, 430223, China
Vol. 10, Issue 3, Pages: 100-103(2026)
Published：30 March 2026
DOI：10.47297/wspiedWSP2516-250023.20261003
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Li Lina,Wang Yu.Research on Artificial Intelligence Empowered ESP Learner Profile Construction and Personalized Teaching Pathways[J].Journal of International Education and Development,2026,10(03):100-103.
DOI：

Li Lina,Wang Yu.Research on Artificial Intelligence Empowered ESP Learner Profile Construction and Personalized Teaching Pathways[J].Journal of International Education and Development,2026,10(03):100-103. DOI： 10.47297/wspiedWSP2516-250023.20261003.

摘要

Abstract

With the rapid development of artificial intelligence (AI)

English for Specific Purposes (ESP) teaching in higher education is experiencing profound transformation. This study focuses on ESP learner profiling and personalized teaching path design

exploring how AI can accurately identify learners' needs

dynamically update learner characteristic models

and deliver tailored learning path recommendations. Through data collection

profile modeling

path design and teaching experiments

an ESP learner profile model covering the knowledge

competence and problem dimensions is constructed

and a personalized learning path recommendation mechanism based on disciplinary knowledge graphs is designed. Preliminary teaching practice verifies that the model effectively boosts learners' learning motivation

participation and language proficiency

providing theoretical support and practical approaches for the digital transformation of ESP teaching. This paper presents the interim research results

including the profile model construction process

personalized path design rationale and initial teaching experiment outcomes.

关键词

Keywords

references

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