Exploring the Application of Text-to-Image Generation Technology in Art Education at Vocational Senior High Schools in Taiwan

Exploring the potential of text-to-image generation technology in Taiwanese vocational high school art courses, this study employs a conceptual framework of technology integration, creative thinking, and metacognitive abilities, focusing on its effects on teaching strategies as well as students’ digital art creation skills and cognitive and creative development. The study was conducted through a multi-methodological approach that includes a systematic literature review plus participatory action research and qualitative analysis. The results showed that integrating text-to-image technology with education boosted students’ interest in activities such as prompt design and project creation and suited themes like landscapes and conceptual art. Testing AI tools enhanced technical proficiency (average of 3.95/5), while pedagogy shifted to project-based learning, increasing engagement. Students’ digital art skills improved from 3.26 to 3.78 (16% growth), with creativity and originality (3.82/5), style diversity, visual complexity, and divergent thinking notably advanced. The technology also fostered metacognitive skills and critical thinking, proving to be an effective teaching aid beyond a mere digital tool. This discovery provides a fresh theoretical viewpoint and instructional procedures for high school art education curricula, anchored in technology, and highlights the importance of nurturing students’ innovativeness and adaptability within the contemporary digital age.

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Information
Published
2025-04-23
DOI
https://doi.org/10.3390/info16050341
Citations
1
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
3.54
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article

Exploring the Application of Text-to-Image Generation Technology in Art Education at Vocational Senior High Schools in Taiwan

Chin-Wen Liao, Bo-Siang Chen, Wei‐Sho Ho, I-Chi Wang et al.
1 citations
Information
Digital Media and Visual Art
3.54
article

Exploring the Application of Text-to-Image Generation Technology in Art Education at Vocational Senior High Schools in Taiwan

Chin-Wen Liao, Bo-Siang Chen, Wei‐Sho Ho, I-Chi Wang, Hsiang-Wei Chen, Wei-Lun Huang
article en
1 citations

Abstract

Exploring the potential of text-to-image generation technology in Taiwanese vocational high school art courses, this study employs a conceptual framework of technology integration, creative thinking, and metacognitive abilities, focusing on its effects on teaching strategies as well as students’ digital art creation skills and cognitive and creative development. The study was conducted through a multi-methodological approach that includes a systematic literature review plus participatory action research and qualitative analysis. The results showed that integrating text-to-image technology with education boosted students’ interest in activities such as prompt design and project creation and suited themes like landscapes and conceptual art. Testing AI tools enhanced technical proficiency (average of 3.95/5), while pedagogy shifted to project-based learning, increasing engagement. Students’ digital art skills improved from 3.26 to 3.78 (16% growth), with creativity and originality (3.82/5), style diversity, visual complexity, and divergent thinking notably advanced. The technology also fostered metacognitive skills and critical thinking, proving to be an effective teaching aid beyond a mere digital tool. This discovery provides a fresh theoretical viewpoint and instructional procedures for high school art education curricula, anchored in technology, and highlights the importance of nurturing students’ innovativeness and adaptability within the contemporary digital age.

InformationVol. 16(5)
National Chung Hsing University (TW), China Medical University (TW), Nan Kai University of Technology (TW), National Taiwan University Hospital (TW), National Chin-Yi University of Technology (TW), National Changhua University of Education (TW)
Openalex Percentile: Top 10%
Digital Media and Visual Art
3.54
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