This study explores the impact of grade level and cultural contexts on AI perception among Korean and Chinese university students, focusing on the field of design education. The design field was chosen as it represents an intersection of technological innovation and practical application, making it an ideal context for analyzing human-AI interaction. A survey of 250 students (125 from each country) assessed AI knowledge, AI perception, AI-human role collaboration, and AI learning experiences. The results showed that Korean students scored higher in AI knowledge and perception, while Chinese students excelled in AI learning experiences. Academic progression was found to have a significant influence on AI perception, revealing common patterns that transcend national contexts. However, the interaction effects between nationality and academic progression were not statistically significant, suggesting that academic development impacts students in both countries similarly. This study not only examines differences between nations but also uncovers universal trends across academic levels, emphasizing the importance of designing AI education strategies that account for cultural differences while fostering universal competencies through practical experience and knowledge accumulation.
목차
Abstract 1. Introduction 2. The Technology Acceptance Model (TAM) as a Framework 3. Method 3.1 Participants 3.2 Research Instruments 3.3 Research Procedure 4. Data Analysis 4.1 T-Test Analysis 4.2 ANOVA Analysis 5. Discussion Acknowledgments References