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Beyond the Prompt: Cultivating Intrinsic Motivation in the Generative Renaissance

  • Dongping Liu
  • , Xiaojuan Qi
  • , Shiqi Wang
  • , Kam Fai Wong
  • , Luyao Zhang*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Generative artificial intelligence (AI) is reshaping computer graphics and interactive techniques, sparking a "Generative Renaissance"that transforms how students create, learn, and collaborate. While these tools expand access to powerful creative capabilities, they also raise critical questions for educators: How can learning remain meaningful when a prompt can generate polished code, images, or text? How can curricula shift from performance-based incentives to cultivating deep, resilient, intrinsic motivation? This panel brings together speakers from academia, industry, and policy to share innovative research outcomes, methods, and developments in the education of computer graphics and interactive techniques. Panelists will explore human-AI synergy in learning, highlighting projects that integrate generative AI into multimedia quality assessment, three-dimensional (3D) reconstruction, visual computing, language technologies, and interdisciplinary curricula. They will present strategies for project-based education that combine computational methods, aesthetic exploration, and experiential learning - including industry collaborations, fieldwork at innovation hubs, and community-engaged initiatives. Together, the panel will address key questions: ĝ€¢How can assignments reward inquiry and creativity over AI-generated polish?ĝ€¢What "power skills"such as ethical reasoning, critical inquiry, and collaboration emerge from human-AI co-creation?ĝ€¢What frameworks ensure equitable, ethical, and globally relevant adoption of generative tools in education?With moderators bridging academia and industry, this panel directly supports the Educator's Forum mission to advance innovative pedagogy in computer graphics and interactive techniques. Attendees will gain globally informed strategies to inspire intrinsically motivated learners - students who are not merely AI users, but discerning, creative collaborators in the Generative Renaissance.

Original languageEnglish
Title of host publicationProceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025
EditorsStephen N. Spencer, Taku Komura, Meili Wang
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400721328
DOIs
StatePublished - 14 Dec 2025
Externally publishedYes
Event2025 SIGGRAPH Asia 2025 Educator's Forum , SA 2025 - Hong Kong, Hong Kong
Duration: 15 Dec 202518 Dec 2025

Publication series

NameProceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025

Conference

Conference2025 SIGGRAPH Asia 2025 Educator's Forum , SA 2025
Country/TerritoryHong Kong
CityHong Kong
Period15/12/2518/12/25

Keywords

  • Artificial Intelligence-Generated Content (AIGC)
  • Computer Graphics
  • Curriculum Design
  • Diversity Equity and Inclusion (DEI)
  • Extended Reality (XR)
  • Generative AI
  • High-Performance Computing (HPC)
  • Human-AI Collaboration
  • Interactive Techniques
  • Interdisciplinary Education
  • Intrinsic Motivation
  • Natural Language Processing (NLP)
  • Sustainable Development Goals (SDGs)
  • Virtual Reality (VR)

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