Enhancing English teaching effectiveness in vocational colleges: a data-driven approach using machine learning and adaptive learning models

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Publication Details

Journal
International Journal of Information and Communication Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijict.2025.10071905
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
1.69
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article

Enhancing English teaching effectiveness in vocational colleges: a data-driven approach using machine learning and adaptive learning models

Xiao Wang
1 citations
International Journal of Information and Communication Technology
Online Learning and Analytics
1.69
article

Enhancing English teaching effectiveness in vocational colleges: a data-driven approach using machine learning and adaptive learning models

Xiao Wang
article en
1 citations

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Communication TechnologyVol. 26(24)
Quality Education
Openalex Percentile: Top 12%
Online Learning and Analytics
1.69
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Enhancing English teaching effectiveness in vocational colleges: a data-driven approach using machine learning and adaptive learning models — Xiao Wang · International Journal of Information and Communication Technology (2025) | TGRS Research Map | TGRS