Research on the Construction of an Intelligent Curriculum System for the Articulation and Progression of Tiered College English Proficiency Empowered by AI

Wendi Liu

doi:10.47297/wspiedWSP2516-250010.20250910

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Research on the Construction of an Intelligent Curriculum System for the Articulation and Progression of Tiered College English Proficiency Empowered by AI

Volume 9, Issue 10

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Research on the Construction of an Intelligent Curriculum System for the Articulation and Progression of Tiered College English Proficiency Empowered by AI
Research on the Construction of an Intelligent Curriculum System for the Articulation and Progression of Tiered College English Proficiency Empowered by AI
College of Foreign Languages, Longyan University, Longyan, Fujian, 364000, China
Vol. 9, Issue 10, Pages: 48-50(2025)
Published：30 October 2025
DOI：10.47297/wspiedWSP2516-250010.20250910
Accepted：

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Liu Wendi.Research on the Construction of an Intelligent Curriculum System for the Articulation and Progression of Tiered College English Proficiency Empowered by AI[J].Journal of International Education and Development,2025,09(10):48-50.
DOI：

Liu Wendi.Research on the Construction of an Intelligent Curriculum System for the Articulation and Progression of Tiered College English Proficiency Empowered by AI[J].Journal of International Education and Development,2025,09(10):48-50. DOI： 10.47297/wspiedWSP2516-250010.20250910.

摘要

Abstract

This study addresses three core challenges commonly observed in tiered College English instruction at local application-oriented universities: "ambiguous proficiency standards leading to progression gaps"

"disconnect between course content

disciplinary needs

and student foundations"

and "homogeneous assessment methods". Taking a local university as a case study

it constructs an intelligent curriculum framework integrating four components "standards-guided

platform-supported

AI-empowered

and assessment-driven." The framework first establishes clear

measurable

phased proficiency standards for students across Levels A

and C

spanning four semesters. Subsequently

leveraging intelligent teaching platforms like Chaoxing

it restructures course content around three interconnected modules: "Foundation

Extension

and Discipline-specific". AI technologies facilitate personalized learning diagnostics

pathway planning

and real-time feedback. Practice demonstrates that this system effectively bridges students' English proficiency progression pathways

enhances teaching outcomes

and offers a reference for similar institutions reforming College English instruction.

关键词

Keywords

references

National Advisory Committee on College Foreign Language Teaching . College English Teaching Guide (2020 Edition) [M ] . Beijing : Higher Education Press , 2020 .

Zhang W. X. , & Liu M . H. Practice and Reflection on Tiered College English Teaching [J ] . Foreign Languages in China , 2020 , 17 ( 5 ): 68 - 75 .

He L . Z. New Requirements for College English Teaching in the New Era—Basis and Key Points for Revising the 'College English Teaching Guide' [J ] . Foreign Language World , 2020 ( 4 ): 12 - 17 .

Council of Europe . Common European Framework of Reference for Languages: Learning, Teaching, Assessment [M ] . Liu, J ., & Fu, R ., Trans. Beijing : Foreign Language Teaching and Research Press , 2008 .

Chaoxing Group . Research on the Application of Chaoxing Intelligent Course Platform in Blended Learning in Universities [R ] . Chengdu : Chaoxing Group , 2023 .

Li X. X. , & Li N . Research on the Alignment between College English Curriculum and Professional Needs [J ] . Foreign Language World , 2022 ( 2 ): 45 - 52 .

Wang H . X. Reconstruction and Innovation of College English Curriculum in the AI Era [J ] . Technology Enhanced Foreign Language Education , 2021 ( 3 ): 3 - 9 .

Brown, H. D. Language Assessment: Principles and Classroom Practices [M ] . Beijing : Foreign Language Teaching and Research Press , 2018 .

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