"Empowering Smart Teaching with AIGC in the Ïntegration of Specialization and Innovation\": An Exploration and Practice" DOI
Yu Wang,

Bi Wang

Published: Nov. 22, 2024

Language: Английский

Understanding GAI risk awareness among higher vocational education students: An AI literacy perspective DOI

Helen Wu,

Dantong Li,

Xiaolan Mo

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 27, 2025

Language: Английский

Citations

1
A Study on Teachers’ Willingness to Use Generative AI Technology and Its Influencing Factors: Based on an Integrated Model DOI Open Access

Haili Lü,

Lin He,

Hao Yu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(16), P. 7216 - 7216

Published: Aug. 22, 2024

The development of new artificial intelligence-generated content (AIGC) technology creates opportunities for the digital transformation education. Teachers’ willingness to adopt AIGC collaborative teaching is key its successful implementation. This study employs TAM and TPB construct a model analyzing teachers’ acceptance technology, focusing on influencing factors differences across various educational stages. finds that behavioral intentions use are primarily influenced by perceived usefulness, ease use, attitudes, control. Perceived affects both directly indirectly different groups. However, control attitudes only influence university with impact being stronger than empirical findings this promote rational teachers, providing guidance encouraging teachers actively explore information in building forms

Language: Английский

Citations

5
Comparing AIGC and Traditional Idea Generation Methods: Evaluating Their Impact on Creativity in the Product Design Ideation Phase DOI
Huan Lin, Xiaoliang Jiang, Xiaolei Deng

et al.

Thinking Skills and Creativity, Journal Year: 2024, Volume and Issue: 54, P. 101649 - 101649

Published: Sept. 16, 2024

Language: Английский

Citations

5
Exploring User Behavioral Intentions and Their Relationship With AI Design Tools: A Future Outlook on Intelligent Design DOI Creative Commons
Ma Hui, N Li

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 149192 - 149205

Published: Jan. 1, 2024

Language: Английский

Citations

4
Research on Messaging Applications as Mediators to Enhance Design Creativity in Industrial Design Students in China DOI Creative Commons
Qian Zhao, Leehsing Lu

International Journal of Sociologies and Anthropologies Science Reviews, Journal Year: 2025, Volume and Issue: 5(1), P. 455 - 472

Published: Jan. 18, 2025

Background and Aim: In globalization, creativity emerges as a pivotal factor in bolstering the competitiveness of nations individuals. Therefore, fostering students' becomes crucial goal education key driver for societal development innovation. This study, with its potential to determine factors that affect design industrial students through messaging applications, holds significant promise. The research framework includes variables such (DC), knowledge sharing (KS), cooperative learning (CL), inspiration (IN), creative self-efficacy (CS), use applications (UMA). By exploring influence educational methods on analysis generation process we aim provide new perspectives tools could profoundly impact research. Materials Methods: this research, meticulously collected 467 valid questionnaires from colleges universities Sichuan Province, China, employing rigorous quantitative questionnaire surveys. To ensure utmost accuracy data, conducted confirmatory (CFA) test relationship between observed variables. Subsequently, employed structural equation model (SEM) hypothesis comprehensively. Applying these two analytical techniques underscores scientific rigor our robustness results. Result: results data show message application, sharing, learning, inspiration, significantly creativity. Using application an intermediary variable improves knowledge-sharing self-efficacy, thus enhancing their However, role collaborative is not significant. finding contrasts pilot tests, reflecting differences strategies implemented by different educators influencing interaction learning. Conclusion: Studying enhance can promote equity social stimulate interdisciplinary collective wisdom. At same time, cultivate innovative skills lifelong innovation ability. insights into how more effectively improve confirm effectiveness self-assessment. practice, self-assessment scale be used evaluate works. addition, study reference teaching other art disciplines.

Language: Английский

Citations

0
AI in education: A shortcut or a roadblock to foundational knowledge? DOI Creative Commons

Peiling Xing,

Yiqian Cao

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: March 21, 2025

Language: Английский

Citations

0
Reconstruction and Development Path of Art Education Curriculum System in the AIGC Era DOI Creative Commons

Jiajia Deng

SHS Web of Conferences, Journal Year: 2025, Volume and Issue: 213, P. 02045 - 02045

Published: Jan. 1, 2025

The rapid development of Artificial Intelligence Generated Content (AIGC) technology is profoundly influencing the curriculum system art education, driving changes in artistic creation methods, teaching models, and talent cultivation directions. AIGC not only improves efficiency creation, but also expands boundaries expression, presenting new opportunities challenges for education. This article explores impact on analyzes its content, modes, goals, proposes a path reconstructing education that adapts to era. Specifically, should optimize structure, integrate content related artificial intelligence digital art, introduce intelligent tools, enhance personalized interactive learning experiences, strengthen interdisciplinary integration deeply technology. In addition, innovative methods such as project-based blended models are needed students’ creativity technical literacy. By constructing era, can better cultivate composite talents with ability promote modernization sustainable

Language: Английский

Citations

0
Application and Value Evaluation of AIGC Based on Sustainable Development in Visual Communication Design DOI Creative Commons
Yishu Wang

SHS Web of Conferences, Journal Year: 2025, Volume and Issue: 213, P. 02038 - 02038

Published: Jan. 1, 2025

With the rapid development of artificial intelligence technology, application AIGC (Artificial Intelligence Generated Content) in field visual communication design is becoming increasingly widespread. This article aims to explore specific and its value evaluation context sustainable development. Firstly, analyzes fields such as graphic design, UI/UX brand packaging design. It points out that not only improves efficiency through automated generation solutions, but also promotes innovation personalized customization a certain extent. Secondly, from perspective development, this explores how practices by reducing resource waste, lowering carbon emissions, promoting environmentally friendly At same time, evaluates role improving quality, costs, addressing environmental social responsibilities, discusses ethical challenges copyright, originality, other areas. Through comprehensive analysis technology provides important theoretical basis practical reference for future field.

Language: Английский

Citations

0
Exploring the acceptance of generative artificial intelligence-assisted learning and design creation among students in art design specialties: based on the extended TAM model DOI
Zhu Zhu, Y.J. Ren, Anna Shen

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

Citations

0
A tea packaging design method based on artificial intelligence generated content DOI
Zhan Gao, Zhenyu Li

Journal of Engineering Design, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 33

Published: April 8, 2025

Language: Английский

Citations

0