Hello! I'm Dr. Lu Lawrence, a learning scientist and design researcher who uses design-based research to study how people learn and interact. I partner with communities to co-design digital and non-digital learning environments and investigate their impact in authentic contexts.
Currently, I am an Assistant Professor at Utah State University in the Instructional Technologies and Learning Sciences program.
I am recruiting students at all levels (undergraduate, masters, and PhD) for the 2023-2024 academic year! Reach out for more information!
Before joining USU, I was a Postdoctoral Fellow at the University of California Irvine in the School of Education and Carnegie Mellon in the Human-Computer Interaction Institute. I completed my MA and PhD from the University of Illinois at Urbana-Champaign in the Digital Environment for Learning, Teaching, and Agency program, and hold a BFA in Graphic Design from Iowa State University.
RESEARCH INTERESTS:
Design-Based Research
Design Justice
Participatory Design
Community-Engaged Research
Learning Sciences
Collaboration
Orchestration
Educational Technology
Playful Learning
GET IN TOUCH!
luettamaelawrence [at] gmail [dot] com
lu [dot] lawrence [at] usu [dot] edu
RESEARCH PROJECTS
My research focuses on how environments and tools support collaborative interactions and learning for students, teachers, and researchers. These selected projects showcase applications of design-based research to create digital and non-digital artifacts that support teaching and learning.
HIGHLIGHTED WORK
BEST DESIGN PAPER. Lawrence, L., Guo, B., Yang, K., Echeverria, V., Kang, Z., Bathala, V., Li, C., Huang, W., Rummel, N., & Aleven, V. (2022). Process to co-design AI-based orchestration tools to support dynamic transitions: Design narratives through Conjecture Mapping. Paper accepted at the15th Annual Conference on Computer Supported Collaborative Learning. International Society of the Learning Sciences. Hiroshima, Japan. [link] [pdf]
INVITED TALK. Lawrence, L., (2022). Co-designing AI-based orchestration tools to support dynamic transitions. University of Pittsburgh, Virtual, March 28, 2022.
