Tonya Bryant
Papers
1
Total Citations
17
H-Index
1
About
Tonya Bryant is a rising leader in the learning sciences, with a research focus on collaborative cognition, social learning dynamics, and multimodal learning analytics. Her most-cited work, "Using Mobile Dual Eye-Tracking to Capture Cycles of Collaboration and Cooperation in Co-located Dyads" (2022, 17 citations), introduces a novel methodological approach to studying how people learn together. By designing measures that leverage high-frequency sensor data—specifically mobile dual eye-tracking—Bryant captures the subtle, real-time interplay between moments of collaboration and cooperation in co-located pairs. This work addresses a critical gap in understanding the temporal dynamics of social learning processes, offering researchers a powerful tool to quantify and analyze the micro-level cycles that drive effective teamwork. Her contributions are particularly impactful for fields like computer-supported collaborative learning and human-computer interaction, where capturing nuanced interaction patterns has long been a challenge. Though early in her career, Bryant’s innovative use of sensor-based measurement positions her at the forefront of efforts to bridge behavioral data with educational theory, promising deeper insights into how we learn together.
Research Focus
Key Achievements
Top Papers
- 1