TY - GEN
T1 - Beyond the Prompt
T2 - 2025 SIGGRAPH Asia 2025 Educator's Forum , SA 2025
AU - Liu, Dongping
AU - Qi, Xiaojuan
AU - Wang, Shiqi
AU - Wong, Kam Fai
AU - Zhang, Luyao
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/12/14
Y1 - 2025/12/14
N2 - 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.
AB - 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.
KW - Artificial Intelligence-Generated Content (AIGC)
KW - Computer Graphics
KW - Curriculum Design
KW - Diversity Equity and Inclusion (DEI)
KW - Extended Reality (XR)
KW - Generative AI
KW - High-Performance Computing (HPC)
KW - Human-AI Collaboration
KW - Interactive Techniques
KW - Interdisciplinary Education
KW - Intrinsic Motivation
KW - Natural Language Processing (NLP)
KW - Sustainable Development Goals (SDGs)
KW - Virtual Reality (VR)
UR - https://www.scopus.com/pages/publications/105026157991
U2 - 10.1145/3757372.3771849
DO - 10.1145/3757372.3771849
M3 - 会议稿件
AN - SCOPUS:105026157991
T3 - Proceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025
BT - Proceedings - SIGGRAPH Asia 2025 Educator's Forum, SA 2025
A2 - Spencer, Stephen N.
A2 - Komura, Taku
A2 - Wang, Meili
PB - Association for Computing Machinery, Inc
Y2 - 15 December 2025 through 18 December 2025
ER -