DYNAMIC TRANSITIONS DURING COLLABORATION

PROJECT OBJECTIVE 
 
Supporting teachers as they facilitate and manage students' dynamic transitions between individual and collaborative while using tutoring software. ​


ROLE 
 
Postdoc Fellow


SELECTED PAPERS
 

Yang, K., Lawrence, L., Echeverria, V., Guo , B., Holstein, K., Rummel, K., & Aleven, V. (2021). “I like student choice, program insights, but final say from the teacher”: Teachers’ preferences regarding human-AI control in dynamic student pairing. In European Conference on Technology Enhanced Learning. Springer, Cham.

Jang, J., Lee, J., Echeverria, V., Lawrence, L., & Aleven, V. (2021). Explorations of designing spatial classroom analytics with virtual prototyping. In Proceedings of the 11th International Learning Analytics & Knowledge Conference. ACM.  [link]  [pdf]

Yang, K., Wang, X., Echeverria, V., Lawrence, L., Holstein, K., Rummel, K., & Aleven, V. (2021). SimPairing - Exploring the coverage of dynamic pairing policies through historical data simulation and user-centered research. 

PROJECT DIRECTIONS

We are developing orchestration technology that allows teachers to pair students dynamically, meaning un-planned and as needed, during classroom activities. We enact a participatory approach to create technology with teachers that accounts for their needs when pairing and unpairing student dyads. 


DESIGN PROCESS 

Using participatory methods, including storyboard speed-dating, co-design workshops, and user testing sessions we explore teachers' preferences regarding dynamic pairing and co-construct technology to support their needs.