Related Experiment Videos
Enhancing student creativity in AIGC design education: the mediating role of learning motivation in reverse
1School of Media Arts and Communication, Nanjing University of the Arts, Nanjing, China.
Introduction:
The widespread application of artificial intelligence generated content (AIGC) technology in design education presents challenges in balancing technological dependency and autonomous innovation during creativity development. Establishing a dynamic equilibrium between technological empowerment and innovation capacity is critical in educational practice. This study examines how reverse engineering pedagogy (REP) stimulates learning motivation to foster creativity and proposes a multidimensional creativity evaluation framework.
Methods:
A quasi-experimental design with intact class-based quasi-random allocation was employed, involving 80 first-year animation majors from two intact classes (40 students per class) assigned to an experimental group (REP intervention) and a control group (traditional instruction). Quantitative assessments using multidimensional creativity and learning motivation scales, supported by statistical analysis, revealed inter-variable relationships.
Results:
The results indicated that the REP framework, comprising structural analysis, functional mapping, and creative reconstruction, significantly enhanced creative design thinking. Learning motivation partially mediated the effect of REP on creativity, confirming synergistic influences of intrinsic and extrinsic motivation.
Discussion:
The study proposes a multidimensional creativity evaluation framework integrating REP and learning motivation, and provides theoretical-practical guidance for pedagogical innovation in AIGC-driven design education.
Related Concept Videos
Cognitive Learning
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
Steps in the Modeling Process
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...
Creative Thinking
Divergent thinking is the...
Purposive Learning
Metacognition
Drive-Reduction Theory: Push Theory of Motivation