CO-DESIGNING AI-BASED TOOLS FOR REMOTE TEACHING

PROJECT OBJECTIVE

Co-designing AI-based orchestration technology with teachers who are teaching in remote and hybrid setting due to the COVID-19 pandemic.

ROLE

Postdoc Fellow

SELECTED PAPERS

Aleven, V., Blankestijn, J., Lawrence, L., Nagashima, T., & Taatgen, N. (2022). A dashboard to support teachers during students’ self-paced AI-supported problem-solving practice. In 17th European Conference on Technology Enhanced Learning, EC-TEL 2022, Toulouse, France, September 12-16, 2022. Springer Nature, Cham.

Lawrence, L., Holstein, K., Berman, S., Fancsali, S., Ritter, S., & Aleven, A. (2021). Teachers’ orchestration needs during the shift to remote learning . In European Conference on Technology Enhanced Learning. Springer, Cham.

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PROJECT DIRECTIONS

The abrupt transition to remote instruction due to COVID-19 has posed unique challenges for teachers to overcome, who are managing previously unimaginable instructional and learning constraints. To account for these challenges, we conduct participatory design with teachers, to explore how AI-based orchestration tools might assist teachers in adapting to this crisis. Using HCI methods including storyboard speed dating, card sorting activities, prototyping, and replay studies, we explored teachers needs in this setting and co-created technology that can support this pressing teaching context.

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These examples illustrate teacher needs and design examples that emerged during design workshops with teachers.

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PROTOTYPES BUILT WITH TEACHERS

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OUTCOMES

The outcomes of four design studies with 12 teachers over a year-long process was a refined prototype of the orchestration tool. This tool, to be evaluated in classrooms, was piloted through replay testing with students' data.