Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial

Resumen:

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Purpose: This study aims to explore the key factors influencing design students' acceptance of AIGC-assisted design courses, providing specific strategies for course design to help students better learn this new technology and enhance their competitiveness in the design industry. The research focuses on evaluating technological and course-level factors, providing actionable insights for course developers. Design/methodology/approach: The research establishes and validates evaluation dimensions and indicators affecting acceptance using structured questionnaires to collect data and employs factor analysis and weight analysis to determine the importance of each factor. Findings: The results of...

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