Effects of design thinking on artificial intelligence learning and creativity

ABSTRACT

This study explored the effects of design thinking on the conceptual cognition of artificial intelligence (AI) learning, attitudes toward AI, idea creativity, and the product creativity of AI applications. The concept map indicated that design thinking had a significant effect on the conceptual cognition of AI learning, particularly the relational conjunctions and classes of AI concepts. However, effects of cross-linking and examples were nonsignificant. In addition, it had a significant and positive effect on learning attitudes toward AI, in particular AI input and AI processing. Moreover, design thinking significantly and positively affected the idea creativity of AI applications, particularly the effects of novelty and value. It also had a significant and positive effect on the product creativity of AI applications, particularly functionality and elaboration. However, material novelty, style, idea structure, and product creativity had no significant difference.

KEYWORDS:

• Design thinking
• artificial intelligence learning
• creativity

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Ministry of Science and Technology, Taiwan [110-2511-H-003 −018 -MY3.

Notes on contributors

Yu-Shan Chang

Yu-shan Chang is a professor of the Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taiwan.

Meng-Chen Tsai

Meng-Chen Tsai  is a graduate student of the Department of Technology Application and Human Resource Development, National Taiwan Normal University, Taiwan.