22-09-2022  Thursday


Thursday Seminar on "Designing Computational Models and Model-based Curricula for Epistemically Agentic Learning"

Date: 22 September, 2022
Time: 15:30 - 16:30

Venue: Online Meeting/Video Conferencing

Coordinator: Dr. K. K. Mashood


Designing Computational Models and Model-based Curricula for Epistemically Agentic Learning


Dr. Sugat Dabholkar, Rutgers University, USA

Zoom link:


Meeting ID:

940 5808 5713



Abstract (speaker's own words):

My work focuses on designing transformative learning environments that support shifts in how students see their relationship with knowledge. It is about expanding the goal of science education beyond knowing scientifically established ideas to learning how to evaluate and construct knowledge using scientific practices. My current work involves thinking expansively about ways to engage in scientific practices that go beyond narrow western colonial conceptualizations. Epistemically agentic learning is about taking an active role in shaping such learning in a science classroom.

Following design-based research tradition, my dissertation work attempted to design and study curricula that use specific kinds of computational models called Emergent Systems Microworlds (ESMs). ESMs are computational models of emergent systems which use agent-based representations and are designed as constructionist microworlds. In this talk, I will present three aspects of my work with ESMs – (1) student learning with EMS-based curricula, (2) co-designing ESM-based curricula with teachers, and (3) centering equity in curricular design work. This work has implications for refining the goals of science education, designing curriculum materials, and supporting teachers’ professional development.

Short Bio:

Sugat Dabholkar is currently working as a Postdoctoral Research Fellow at Rutgers University. Prior to this, he worked as a Distinguished Research Fellow in the School of Education and Social Policy at Northwestern University where he also completed his PhD. His research focuses on designing and co-designing computational learning environments that facilitate student participation in scientific inquiry as they build disciplinary knowledge. His research interests are in understanding students’ epistemic engagement as they navigate socio-cultural aspects of their identities and values in disciplinary learning settings. He is interested in extending this design and research approach to diverse local and global contexts to study how technological innovations can support such co-design efforts.

Over the past several years, Sugat has designed and co-designed several computational agent-based models and curricula, many of which have been used in high schools in the US as well as in India. He has presented his work at several highly prestigious international conferences and co-authored several peer-reviewed journal publications. Before doing his Ph.D. in educational research, Sugat was first a computational biology researcher at NCBS and then a science content developer for a multi-national organization in India.