5. Further Exploration of Design·AI Education Initiative at SUTD

This document translates the SUTD Design·AI Education framework into actionable guidance for faculty designing their courses and for students seeking to understand the design rationale behind their curriculum. Given the rapid evolution of AI, this guideline will be updated regularly to reflect emerging pedagogical best practices, ongoing institutional learning, and new Design·AI education initiatives across SUTD.

There are also a number of Design·AI education initiatives across campus, led by colleagues from different units, which welcome interested faculty and students to participate. Please reach out to the relevant initiative leads to learn more about their objectives and how you can contribute to, refine, and enrich Design·AI teaching and learning at SUTD. The list will be updated regularly, and colleagues are encouraged to contact the Design·AI Task Force to have their initiatives included.

Name Unit Leads Deliverables / Objectives
GenAI Integration in Coursework Office of Strategic Planning (OSP) Nachamma Sockalingam Reimagine Education Weekly Newsletter, course design tools (e.g. GenAI course auditor and GenAI integrator), consultations and workshops
Fab Lab 2.0 Fab Lab Soh Gim Song Pedagogical Tools (e.g. Speak-to-Print, Print GPT)
Building 0 Building 0 Poon King Wang Pedagogical Tools
D.AI course mapping Teaching-Track Faculty Across Pillars/Clusters Oka Kurniawan, Apple Koh, Chandrima, Kenny Lu, Pang Yang Huei, Wong Wei Pin Peer-to-peer Design·AI course mapping exercise, using design frameworks
“Design in the Age of AI: An Ontological, Epistemological, and Ethical Foundation for Design Education” ASD Khoo Peng Beng, Stylianos Dritsas, and Kang Shua Yeo Position paper & executive summary
“AI & Ethics in Asia” HASS Yow Wei Quin & Courtney Fu White paper
“Mission Team Human” HASS Evelyn Chew, Setsuko Yokoyama, Taka Yamamoto, and Björn Fischer Mock job interview training & mentoring for graduating UG students in collaboration with the Career Development Centre (CDC)
“Critical AI Reading Group” HASS Setsuko Yokoyama, Taka Yamamoto, Jeffrey Chan, Su Mengyang, and Grace Dixon Reading discussions of emerging AI ethics literature in the humanities, arts, and social sciences
SMT AI committee SMT Xue Hansong & Lou Xuanming (supported by Kwan Wei Lek, Maggi Pee, Julia Zhu, Agnieszka Gorecka & Sumbul Khan) SMT AI Resources Team

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