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AI绘画以图解文的中职诗词教学策略研究

陈志雄

工业技术与职业教育2023,Vol.21Issue(6):46-52,7.
工业技术与职业教育2023,Vol.21Issue(6):46-52,7.

AI绘画以图解文的中职诗词教学策略研究

Research on the Poetry Teaching Strategy in Secondary Vocational Schools with the Text-to-Image Function of AI Painting

陈志雄1

作者信息

  • 1. 集美工业学校, 福建 厦门 361022
  • 折叠

摘要

Abstract

AI painting is the application of artificial intelligence technology in the field of art.AI painting technology has the function of interpreting texts with images in the field of language teaching and it has the appropriateness of being applied to poetry teaching.Chinese teachers in secondary vocational schools can give full play to the advantages of AI painting tools such as text analysis,text visualization,graphic interaction and so on to innovate the teaching strategies of poetry,stimulate students'interest and enthusiasm in learning poetry and improve their Chinese core literacy and artistic creativity.Under the guidance of intuitional instruction,language-image intertextuality theory,cognitive schema theory,Gestalt theory and other theories,the poetry teaching strategy with the text-to-image function of AI painting is an innovative teaching strategy that deeply integrates AI painting technology with poetry teaching.It includes four strategies:understanding the whole text with corresponding images,perceiving elements in the text with images,enriching the understanding of the text with images,comprehending the text through mutual complementation of text and image.The phased experiment proves that the poetry teaching strategy with the text-to-image function of AI painting can mobilize students'enthusiasm for learning participation,realize the high-frequency interaction between students and AI painting tools,and promote the transformation of students'poetry learning from shallow understanding to deep comprehension.

关键词

AI绘画/诗词教学/语图互文理论/认知图式理论/格式塔理论

Key words

AI painting/poetry teaching/language-image intertextuality theory/cognitive schema theory/Gestalt theory

分类

社会科学

引用本文复制引用

陈志雄..AI绘画以图解文的中职诗词教学策略研究[J].工业技术与职业教育,2023,21(6):46-52,7.

工业技术与职业教育

1674-943X

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