LuEttaMae Lawrence

dblp:230/7191 · DBLP profile ↗
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7ranked-venue papers
1as first author
7since 2021 · last 2025
0000-0001-6066-5096ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 6 · 1 first-author · 6 since 2021Applied, interdisciplinary, general and emerging computing · 6 · 1 first-author · 6 since 2021
YearPublicationVenuePosition
2025 Computational models as tools for supporting responsive teaching
abstract
It is widely agreed that science instruction should help students build new knowledge on the foundation of their prior knowledge. Responsive teaching refers to a family of teaching strategies that pursue and build on student ideas. We introduce a particular approach to responsive teaching and examine how it can be supported by the use of computational models. We analyse an 8th grade science teacher’s facilitation of a class discussion near the end of a lesson on sound. We present a moment-by-moment characterisation of her responsive teaching moves, highlighting the ways she used a computational model to help students articulate and examine their thinking. Our findings make empirical contributions to literature concerned with responsive teaching and literature concerned with the role of computational models in constructivist approaches to instruction.
Hillary Swanson, LuEttaMae Lawrence, Jared Arnell, Bonni Jones, Bruce L. Sherin, Uri Wilensky
Behav. Inf. Technol.2
2022 Technology Ecosystem for Orchestrating Dynamic Transitions Between Individual and Collaborative AI-Tutored Problem Solving
Kexin Bella Yang, Zijing Lu, Vanessa Echeverría, Jonathan Sewall, LuEttaMae Lawrence, Nikol Rummel, Vincent Aleven
AIED (1)5
2022 A Dashboard to Support Teachers During Students' Self-paced AI-Supported Problem-Solving Practice
Vincent Aleven, Jori Blankestijn, LuEttaMae Lawrence, Tomohiro Nagashima, Niels Taatgen
EC-TEL3
2021 Teachers' Orchestration Needs During the Shift to Remote Learning
LuEttaMae Lawrence, Kenneth Holstein, Susan R. Berman, Stephen Fancsali, Bruce M. McLaren, Steven Ritter 0001, Vincent Aleven
EC-TEL1
2021 Surveying Teachers' Preferences and Boundaries Regarding Human-AI Control in Dynamic Pairing of Students for Collaborative Learning
Kexin Bella Yang, LuEttaMae Lawrence, Vanessa Echeverría, Boyuan Guo, Nikol Rummel, Vincent Aleven
EC-TEL2
2021 SimPairing - Exploring Dynamic Pairing Policies through Historical Data Simulation and User-centered Research
Kexin Bella Yang, Xuejian Wang, Vanessa Echeverría, LuEttaMae Lawrence, Kenneth Holstein, Nikol Rummel, Vincent Aleven
EDM4
2021 Explorations of Designing Spatial Classroom Analytics with Virtual Prototyping
abstract
Despite the potential of spatial displays for supporting teachers’ classroom orchestration through real-time classroom analytics, the process to design these displays is a challenging and under-explored topic in the learning analytics (LA) community. This paper proposes a mid-fidelity Virtual Prototyping method (VPM), which involves simulating a classroom environment and candidate designs in virtual space to address these challenges. VPM allows for rapid prototyping of spatial features, requires no specialized hardware, and enables teams to conduct remote evaluation sessions. We report observations and findings from an initial exploration with five potential users through a design process utilizing VPM to validate designs for an AR-based spatial display in the context of middle-school orchestration tools. We found that designs created using virtual prototyping sufficiently conveyed a sense of three-dimensionality to address subtle design issues like occlusion and depth perception. We discuss the opportunities and limitations of applying virtual prototyping, particularly its potential to allow for more robust co-design with stakeholders earlier in the design process.
JiWoong Jang, Jaewook Lee 0005, Vanessa Echeverría, LuEttaMae Lawrence, Vincent Aleven
LAK4