6 citations · 10 across the 6 of their papers we have counts for
6 papers · 1 filter
Student Perceptions of Large Language Models Use in Self-Reflection and Design Critique in Architecture Studio
Juan David Salazar Rodriguez, Sam Conrad Joyce, Nachamma Sockalingam +2
This study investigates the integration of Large Language Models (LLMs) into the feedback mechanisms of the architectural design studio, shifting the focus from generative producti…
Designing Knowledge Tools: How Students Transition from Using to Creating Generative AI in STEAM classroom
Qian Huang, Nachamma Sockalingam, Thijs Willems +1
This study explores how graduate students in an urban planning program transitioned from passive users of generative AI to active creators of custom GPT-based knowledge tools. Draw…
To Use or to Refuse? Re-Centering Student Agency with Generative AI in Engineering Design Education
Thijs Willems, Sumbul Khan, Qian Huang +3
This pilot study traces students' reflections on the use of AI in a 13-week foundational design course enrolling over 500 first-year engineering and architecture students at the Si…
Large Language Models in Architecture Studio: A Framework for Learning Outcomes
Juan David Salazar Rodriguez, Sam Conrad Joyce, Nachamma Sockalingam +2
The study explores the role of large language models (LLMs) in the context of the architectural design studio, understood as the pedagogical core of architectural education. Tradit…
How Helpful do Novice Programmers Find the Feedback of an Automated Repair Tool?
Oka Kurniawan, Christopher M. Poskitt, Ismam Al Hoque +3
Immediate feedback has been shown to improve student learning. In programming courses, immediate, automated feedback is typically provided in the form of pre-defined test cases run…
Designing learning experiences for online teaching and learning
Nachamma Sockalingam, Junhua Liu
Teaching is about constantly innovating strategies, ways and means to engage diverse students in active and meaningful learning. In line with this, SUTD adopts various student-cent…