Keywords | Nøgleord
Product Design
Creativity
Self-Efficacy
Collaborative Learning
Citation/Eksport
Abstract | Abstract
Generative models in Artificial Intelligence (AI) are increasingly employed across diverse fields, including product design, for tasks like shape recognition and design creation. This trend underscores generative models’ ability to bridge offline and online environments in creative endeavors. The article investigates the potential of integrating generative image AI into visualization process among product design students. Using image-based research analysis and semi-structured interviews, this study involved 50 product design students as respondents. The findings highlight that integrating generative AI tools, particularly the ChatGPT 4.0, significantly improves students’ creativity and self-efficacy through collaborative learning, and streamlines the design process. The findings also close the gap between creative concepts and practical applications, and offers a robust framework for evaluating AI-generated content. The contribution of the study underscores the transformative potential of generative AI tools in product design education, showcasing the effectiveness in fostering creativity, efficiency, and design quality through collaborative learning.
Referencer
Bandura, Albert. 1986. Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs, NJ: Prentice Hall.
Bandura, Albert. 1997. Self-Efficacy: The Exercise of Control. New York: W.H. Freeman/Times Books/Henry Holt & Co.
Burri, Regula Valérie. 2012. “Visual Rationalities: Towards a Sociology of Images.” Current Sociology 60 (1): 45–60. https://doi.org/10.1177/0011392111426647.
Chien, Yu-Hung, Kuen-Yi Lin, Hsien-Sheng Hsiao, Yu-Shan Chang, and Shaio-Chung Chan. 2022. “Measuring Industrial Design Self-Efficacy and Anxiety.” International Journal of Technology and Design Education 32 (2): 1317–1336. https://doi.org/10.1007/s10798-020-09648-0.
Creswell, John W. 2009. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. 3rd ed. Thousand Oaks, CA: SAGE Publications.
Csikszentmihalyi, Mihaly. 1999. “Implications of a Systems Perspective for the Study of Creativity.” In Handbook of Creativity, edited by Robert J. Sternberg, 313–335. Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9780511807916.018.
Csikszentmihalyi, Mihaly. 1996. Creativity: Flow and the Psychology of Discovery and Invention. New York: HarperCollins.
Dillenbourg, Pierre. 1999. “What Do You Mean by Collaborative Learning?” In Collaborative Learning: Cognitive and Computational Approaches, edited by Pierre Dillenbourg, 1–19. Oxford: Elsevier.
Glăveanu, Vlad Petre. 2014. “Distributed Creativity: What Is It?” In Distributed Creativity: Thinking Outside the Box of the Creative Individual, 1-13. Cham: Springer. https://doi.org/10.1007/978-3-319-05434-6_1.
Glǎveanu, Vlad Petre. 2021. The Possible: A Sociocultural Theory. Oxford University Press.
Guest, Greg, Arwen Bunce, and Laura Johnson. 2006. “How Many Interviews Are Enough? An Experiment with Data Saturation and Variability.” Field Methods 18 (1): 59-82. https://doi.org/10.1177/1525822X05279903.
Hashmi, Nada, and Anjali S. Bal. 2023. “Generative AI in Higher Education and Beyond.” Business Horizons 67 (5): 607-614. https://doi.org/10.1016/j.bushor.2024.05.005.
Huang, Kuo-Liang, Yi-Chen Liu, Ming-Qing Dong, and Chia-Chen Lu. 2024. “Integrating AIGC into Product Design Ideation Teaching: An Empirical Study on Self-Efficacy and Learning Outcomes.” Learning and Instruction 92. https://doi.org/10.1016/j.learninstruc.2024.101929.
Johnson, David W., and Roger T. Johnson. 1989. Cooperation and Competition: Theory and Research. Edina, MN: Interaction Book Company.
Jonson, Ben. 2005. “Design Ideation: The Conceptual Sketch in the Digital Age.” Design Studies 26 (6): 613–624. https://doi.org/10.1016/j.destud.2005.03.001.
Laal, Marjan, and Seyed Mohammad Ghodsi. 2012. “Benefits of Collaborative Learning.” Procedia – Social and Behavioral Sciences 31:486–490. https://doi.org/10.1016/j.sbspro.2011.12.091.
Mason, Paul. 2005. “Visual Data in Applied Qualitative Research: Lessons from Experience.” Qualitative Research 5 (3): 325–346. https://doi.org/10.1177/1468794105054458.
Mohamed Kamil, Muhammad Jameel, and Mohd Najib Abdullah Sani. 2021. “The Challenges and Initiatives of Teaching Product Design’s Course Online During the COVID-19 Pandemic in Malaysia.” Asia Pacific Journal of Educators and Education 36 (1): 113–133. https://doi.org/10.21315/apjee2021.36.1.7.
Mohamed Kamil, Muhammad Jameel, Nazratul Nadiah Samsuddin, Mohd Najib Abdullah Sani, and Amir Hassan Mohd Shah. 2024. “The Integration of Ergonomics Ergo-System Framework (EESF) with the Product Design Process in the Innovation Ergonomic Seating Support for Scoliosis Patients.” International Journal of Systematic Innovation 8 (2): 44–57. https://doi.org/10.6977/IJoSI.202406_8(2).0004.
Muller, Michael J., and Sandra Kogan. 2012. “Grounded Theory Method in Human-Computer Interaction and Computer-Supported Cooperative Work.” In Human Computer Interaction Handbook., edited by Julie A. Jacko, 1003-1024. Boca Raton: CRC Press. https://doi.org/10.1201/b11963.
Nelson, Brent A., Jamal O. Wilson, David Rosen, and Jeannette Yen. 2009. “Refined Metrics for Measuring Ideation Effectiveness.” Design Studies 30 (6): 737–743. https://doi.org/10.1016/j.destud.2009.07.002.
O’Malley, Claire. 1995. Computer Supported Collaborative Learning. Heidelberg: Springer-Verlag. https://doi.org/10.1007/978-3-642-85098-1.
Pajares, Frank, and Dale H. Schunk. 2002. “The Development of Academic Self-Efficacy.” In Development of Achievement Motivation, edited by Allan Wigfield and Jacquelynne S. Eccles, 15–31. San Diego, CA: Academic Press. https://doi.org/10.1016/B978-012750053-9/50003-6.
Saldaña, Johnny. 2015. The Coding Manual for Qualitative Researchers. 3rd ed. London: SAGE.
Self, James, Mark Evans, and Eun Jin Kim. 2016. “A Comparison of Digital and Conventional Sketching: Implications for Conceptual Design Ideation.” Journal of Design Research 14 (2): 171–202.
Short, Cole E., and Jeremy C. Short. 2023. “The Artificially Intelligent Entrepreneur: ChatGPT, Prompt Engineering, and Entrepreneurial Rhetoric Creation.” Journal of Business Venturing Insights 19. https://doi.org/10.1016/j.jbvi.2023.e00388.
Tian, Yu, Ang Liu, Yun Dai, Keisuke Nagato, and Masayuki Nakao. 2024. “Systematic Synthesis of Design Prompts for Large Language Models in Conceptual Design.” CIRP Annals 73 (1): 85-88. https://doi.org/10.1016/j.cirp.2024.04.062.
Tierney, Pamela, and Steven M. Farmer. 2002. “Creative Self-Efficacy: Its Potential Antecedents and Relationship to Creative Performance.” Academy of Management Journal 45 (6): 1137–1148. https://doi.org/10.2307/3069429.
Vygotsky, Lev S. 1978. Mind in Society: The Development of Higher Psychological Processes. Edited by Michael Cole, Vera Jolm-Steiner, Sylvia Scribner, and Ellen Souberman. Cambridge, MA: Harvard University Press. https://doi.org/10.2307/j.ctvjf9vz4.
Ye, Yilin, Jianing Hao, Yihan Hou, Zhan Wang, Shishi Xiao, Yuyu Luo, and Wei Zeng. 2024. “Generative AI for Visualization: State of the Art and Future Directions.” Visual Informatics 8 (2): 43–66. https://doi.org/10.1016/j.visinf.2024.04.003.
Zimmerman, Barry J. 2000. “Self-Efficacy: An Essential Motive to Learn.” Contemporary Educational Psychology 25 (1): 82–91. https://doi.org/10.1006/ceps.1999.1016.
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