Artificial Intelligence Generated Content (AIGC) in Empowering Vocational English Teaching Evaluation Systems

The integration of Artificial Intelligence Generated Content (AIGC) into vocational English teaching has the potential to revolutionize the evaluation process, making it more efficient, personalized, and insightful. This paper explores the current landscape of AIGC in education, with a focus on its application in vocational English teaching evaluation systems. Through a systematic literature review, we analyze how AIGC can enhance existing evaluation frameworks, the challenges it poses, and the future direction of its integration into educational practices.

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Publication Details

Journal
Journal of improved oil and gas recovery technology.
Published
2024-10-23
DOI
https://doi.org/10.53469/wjimt.2024.07(05).14
Citations
1
Primary Topic
Educational Technology and Assessment
Type
article
Field-Weighted Citation Impact
0.78
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article

Artificial Intelligence Generated Content (AIGC) in Empowering Vocational English Teaching Evaluation Systems

Xiao‐Li Hu
1 citations
Journal of improved oil and gas recovery technology.
Educational Technology and Assessment
0.78
article

Artificial Intelligence Generated Content (AIGC) in Empowering Vocational English Teaching Evaluation Systems

Xiao‐Li Hu
article en
1 citations

Abstract

The integration of Artificial Intelligence Generated Content (AIGC) into vocational English teaching has the potential to revolutionize the evaluation process, making it more efficient, personalized, and insightful. This paper explores the current landscape of AIGC in education, with a focus on its application in vocational English teaching evaluation systems. Through a systematic literature review, we analyze how AIGC can enhance existing evaluation frameworks, the challenges it poses, and the future direction of its integration into educational practices.

Journal of improved oil and gas recovery technology.Vol. 7(5)
Jiangsu Maritime Institute (CN)
Quality Education
Openalex Percentile: Top 20%
Educational Technology and Assessment
0.78
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