THE EFFECTS OF ARTIFICIAL INTELLIGENCE GENERATIVE CONTENT ASSISTED PRODUCT DESIGN ON COLLEGE STUDENTS CREATIVE ABILITY AND MOTIVATION

With the rapid advancement of artificial intelligence (AI) technology, the integration of AI-generated content (AIGC) in creative processes has sparked significant sociological interest. This study investigated gender differences in creative ability and motivation when using AI-assisted tools. Through a quasi-experimental design, this research examined 70 college participants to compare AI-assisted versus traditional approaches. Using standardized assessment metrics, the study measured these three key variables across gender groups. The results revealed three key findings. First, participants using AI-assisted tools demonstrated significantly higher creative ability compared to the control group, with male participants showing particularly strong performance improvements. Second, the AI-assisted group showed elevated levels of motivation across both gender groups. The findings contribute to understanding gender-based differences in human-AI interaction and creative processes in technological environments. This study advances the theoretical discourse on gender differences in AI-augmented creative processes and provides insights into the evolving relationship between gender, creativity, and technological advancement in contemporary society.

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Publication Details

Journal
International Journal of Education Psychology and Counseling
Published
2025-06-05
DOI
https://doi.org/10.35631/ijepc.1058016
Primary Topic
Diverse Topics in Contemporary Research
Type
article
Field-Weighted Citation Impact
0.00
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article

THE EFFECTS OF ARTIFICIAL INTELLIGENCE GENERATIVE CONTENT ASSISTED PRODUCT DESIGN ON COLLEGE STUDENTS CREATIVE ABILITY AND MOTIVATION

Guan Tan Tse, Muhamad Ezran Zainal Abdullah, Li Fanglian
International Journal of Education Psychology and Counseling
Diverse Topics in Contemporary Research
article

THE EFFECTS OF ARTIFICIAL INTELLIGENCE GENERATIVE CONTENT ASSISTED PRODUCT DESIGN ON COLLEGE STUDENTS CREATIVE ABILITY AND MOTIVATION

Guan Tan Tse, Muhamad Ezran Zainal Abdullah, Li Fanglian
article en

Abstract

With the rapid advancement of artificial intelligence (AI) technology, the integration of AI-generated content (AIGC) in creative processes has sparked significant sociological interest. This study investigated gender differences in creative ability and motivation when using AI-assisted tools. Through a quasi-experimental design, this research examined 70 college participants to compare AI-assisted versus traditional approaches. Using standardized assessment metrics, the study measured these three key variables across gender groups. The results revealed three key findings. First, participants using AI-assisted tools demonstrated significantly higher creative ability compared to the control group, with male participants showing particularly strong performance improvements. Second, the AI-assisted group showed elevated levels of motivation across both gender groups. The findings contribute to understanding gender-based differences in human-AI interaction and creative processes in technological environments. This study advances the theoretical discourse on gender differences in AI-augmented creative processes and provides insights into the evolving relationship between gender, creativity, and technological advancement in contemporary society.

International Journal of Education Psychology and CounselingVol. 10(58)
Universiti Malaysia Kelantan (MY)
Openalex Percentile: Top 78%
Diverse Topics in Contemporary Research
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