Quantifying Constructivist Learning in Studio-Based Education
Data science methods for measuring learning in creative education settings
How do you measure learning in a design studio? Traditional tests don't work for creative education. We develop data science methods that quantify learning moments during design critiques—capturing breakthroughs, engagement, and cognitive development in real-time.
Research Focus
Learning Measurement
Quantify cognitive breakthroughs and engagement during critiques. Track learning patterns in real-time.
Problem-Solving Analysis
Study student-mentor collaboration. Identify scaffolding moments that guide breakthroughs.
Assessment Methods
Data-driven metrics for creative progress. Objective teaching effectiveness measures.
Applications
For Educators
Evidence-based teaching strategies with real-time feedback on student engagement. Personalized insights for individual learning styles.
For Students
Clear progress indicators showing skill development. Personalized learning paths tailored to individual strengths and challenges.
For Research
New understanding of how creativity develops. Methodological innovations applicable to other educational fields.
Impact
Our research provides practical tools for educators working in creative fields. The methods integrate with existing programs and are validated in actual studio environments. The work contributes to understanding how creative learning happens and how it can be measured and improved.
Related Publications
2025
- Sentiment Analysis of Student-Tutor Interactions in VR Design Crits2025The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA)
2024
- Exploring the Role of Sentiment in Tutor-Student Interaction. The Case Study of CS and Architecture Formative Studio Critiques20242024 IEEE Frontiers in Education Conference (FIE)