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Related Concept Videos

Creative Thinking01:25

Creative Thinking

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Creative thinking encompasses innovative and unconventional methods for addressing challenges, often leading to groundbreaking solutions. Instead of focusing solely on enhancing existing systems, such as increasing smartphone battery capacity, creative thinking might inspire advancements like energy-efficient batteries or processors that minimize power consumption. This multidimensional approach underscores the importance of exploring novel pathways to innovation.
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Non-equilibrium in the Cell01:16

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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Introduction to Cognitive Psychology01:20

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Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
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Cognitivism01:17

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Cognitive psychology emerged as a significant field in the mid-20th century. It focused on understanding humans' internal mental processes. This approach emphasizes how people perceive, remember, think, and solve problems—elements critical to human cognition.
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Cognitive Learning01:21

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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Gestalt Principles of Perception01:21

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
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Generative AI as an External Cognitive Tool for Developing Creative Intelligence in Visual Design: A Mixed-Methods

Ziyang Huang1, Jiajia Zhao1, Xuan Fu1

  • 1Department of Communication Design, College of Design, Graduate School, Hanyang University, Seoul 04763, Republic of Korea.

Journal of Intelligence
|April 27, 2026
PubMed
Summary

Generative artificial intelligence (GenAI) in design education boosts creative performance and motivation. While cognitive load showed limited impact, GenAI acts as a cognitive support tool, enhancing learning through motivational and instructional factors.

Keywords:
PLS-SEMcognitive loadcreative intelligencedomain-specific intelligenceexpert-rated performancegenerative AIhuman–AI co-creationlearning motivationpsychometric modeling

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Area of Science:

  • Educational Technology
  • Human-Computer Interaction
  • Design Studies

Background:

  • Generative artificial intelligence (GenAI) is transforming design education.
  • Understanding GenAI's impact on cognitive and motivational processes in design learning is crucial.
  • Existing research lacks comprehensive analysis of GenAI's role in design learning outcomes.

Purpose of the Study:

  • To investigate the association between GenAI integration in visual design instruction and creative performance.
  • To explore the relationships among cognitive load, learning motivation, and learning outcomes in design education.
  • To determine the moderating effect of Integrated Teaching Alignment (ITA) on learning satisfaction.

Main Methods:

  • A six-week randomized instructional experiment with 120 visual communication design undergraduates.
  • Creative performance assessed via blind expert ratings.
  • Partial Least Squares Structural Equation Modeling (PLS-SEM) used for variable analysis.

Main Results:

  • GenAI-integrated instruction correlated with increased learning motivation, engagement, and creative performance.
  • Cognitive load indicators demonstrated limited predictive power in the overall model.
  • Integrated Teaching Alignment (ITA) significantly moderated the link between perceived relevance and learning satisfaction.

Conclusions:

  • GenAI may serve as an effective external cognitive support tool in design education.
  • Learning outcomes are primarily associated with motivational and instructional factors when using GenAI.
  • Further research should explore cognitive load nuances in GenAI-assisted learning environments.