Research on Intelligent Educational Technology in Business English Education in Building Multi-model Learning Environments and Personalized Learning Paths

This study investigates the efficacy of intelligent educational technology business English education. It tries to solve the problem of traditional teaching strategies which often fail to meet the diverse needs of students by providing engaging, practical course materials. With an explanatory sequential mixed methods research design, it utilizes thematic analysis for qualitative data from instructors and students, followed by a quantitative survey of 215 business English students. The findings from statistical study indicate that there is a strong positive association between the usage of intelligent educational technology and the improvement of students’ business language competency, communication effectiveness, and their overall satisfaction. Moreover, the correlation between students' idea of personalized learning and their motivation, engagement, and performance were significantly positive. In a word, the application of intelligent educational technology can support the development of multi-modal and personalized business English teaching, as well as technology-driven language learning practice, curriculum development, and intelligent educational technology design.

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Publication Details

Journal
Journal of Human Centered Technology
Published
2024-08-12
DOI
https://doi.org/10.11113/humentech.v3n2.84
Citations
2
Primary Topic
Technology-Enhanced Education Studies
Type
article
Field-Weighted Citation Impact
4.19
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article

Research on Intelligent Educational Technology in Business English Education in Building Multi-model Learning Environments and Personalized Learning Paths

Norazrena Abu Samah, Xiaoying Lü
2 citations
Journal of Human Centered Technology
Technology-Enhanced Education Studies
4.19
article

Research on Intelligent Educational Technology in Business English Education in Building Multi-model Learning Environments and Personalized Learning Paths

Norazrena Abu Samah, Xiaoying Lü
article en
2 citations

Abstract

This study investigates the efficacy of intelligent educational technology business English education. It tries to solve the problem of traditional teaching strategies which often fail to meet the diverse needs of students by providing engaging, practical course materials. With an explanatory sequential mixed methods research design, it utilizes thematic analysis for qualitative data from instructors and students, followed by a quantitative survey of 215 business English students. The findings from statistical study indicate that there is a strong positive association between the usage of intelligent educational technology and the improvement of students’ business language competency, communication effectiveness, and their overall satisfaction. Moreover, the correlation between students' idea of personalized learning and their motivation, engagement, and performance were significantly positive. In a word, the application of intelligent educational technology can support the development of multi-modal and personalized business English teaching, as well as technology-driven language learning practice, curriculum development, and intelligent educational technology design.

Journal of Human Centered TechnologyVol. 3(2)
University of Technology Malaysia (MY)
Quality Education
Openalex Percentile: Top 6%
Technology-Enhanced Education Studies
4.19
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Research on Intelligent Educational Technology in Business English Education in Building Multi-model Learning Environments and Personalized Learning Paths — Norazrena Abu Samah, Xiaoying Lü · Journal of Human Centered Technology (2024) | TGRS Research Map | TGRS