INSPIRE CS-AI Fellowship

Innovative New Spaces for Practice and Rehearsal Teacher Education (INSPIRE) Computer Science (CS) – Artificial Intelligence (AI) or INSPIRE CS-AI is new year-long fellowship program for CS teacher educators lead by faculty and staff at the MIT Teaching Systems Lab and Carnegie Mellon University.

About the INSPIRE CS-AI Fellowship

In the 2020-2021 academic year, 24 teacher-educator fellows from across the United States – alongside staff from MIT TSL and CMU – will work together to creatively and playfully co-design equity-focused practice spaces using Teacher Moments and ELK, two learning platforms that helps novice teachers rehearse for and reflect on important decisions in teaching inclusively. Over the course of the fellowship year, fellows will play with and modify existing practice spaces, develop new practice spaces, and use these tools with their preservice teacher students for fun and powerful practice-based professional learning experiences.

This material is based upon work supported by the National Science Foundation under Grant No. 1917668. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

How can I get involved with the INSPIRE CS-AI Fellowship?

Project Publications

Dungan, C., Fang, A., & Larke, L. R. (2021, April 9). Design Considerations for Facilitating Effective Teacher Moments Post-Simulation Equity Discussions. In Mouza, C. (Chair), Critical Perspectives on using Simulations to Broaden Participation in Computer Science through K-12 Teacher Education. Symposium conducted at the meeting of the American Educational Research Association, Online.

Dutt, R., Hillaire, G., Fang, A., Larke, L. R., Rosé, C., & Reich, J. (2021). Investigating adoption and collaboration with digital clinical simulations by teacher educators [Outstanding Paper Award]. Proceedings of the Society for Information Technology & Teacher Education International Conference, March 21, 2021, Online. Waynesville, NC: Association for the Advancement of Computing in Education (AACE). https://www.learntechlib.org/p/219277/

Dutt, R., Joshi, R., & Rosé, C. P. (2020). Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 7473–7485. https://www.aclweb.org/anthology/2020.emnlp-main.605

Hillaire, G., Larke, L. R,, & Reich, J. (2020a, March 6). Detecting Confusion in Everyday Conversations [Poster]. The Center for Research on Computation and Society (CRCS) Rising Stars Workshop on AI for Social impact, Cambridge, MA. https://doi.org/10.13140/RG.2.2.31143.50081

Hillaire, G., Larke, L. R,, & Reich, J. (2020b). Digital Storytelling through Authoring Simulations with Teacher Moments. Society for Information Technology & Teacher Education International Conference, 1736–1745. https://www.learntechlib.org/p/215950/

Hillaire, G., Larke, L. R., Reich, J., & Fang, A. (2021, April 9). Technology Adoption Concerns and Help-Seeking from Teacher Educators Authoring, Implementing, and Researching Equity Focused Simulations. In Mouza, C. (Chair), Critical Perspectives on using Simulations to Broaden Participation in Computer Science through K-12 Teacher Education. Symposium conducted at the meeting of the American Educational Research Association, Online.

Hillaire, G., Reich, J., Thompson, M., & Synomette, D. (2020, December 21). Analyzing the Relationship Between Cognitive Dissonance and Mixed Emotion to Support Emotion Regulation in Teachers, [Poster]. The Annual Meeting of the American Educational Research Association (AERA), Online.

Larke, L. R., Hillaire, G., Chen, H., Dutt, R., Rosé, C. P., & Reich, J. (2020). Cognitive Dissonance and Equity: Designing Digital Simulations for K-12 Computer Science Teacher Education [Poster]. In M. Gresalfi & I. S. Horn (Eds.), Proceedings of the 14th International Conference of the Learning Sciences (ICLS) (pp. 2405-2406). International Society of the Learning Sciences (ISLS), Online.

Leftwich, A. T., & Chen, H. (2021, April 9). Using Online Simulations to Uncover Pre-service Teachers’ Perceived Level of Responsibility Regarding Computer Science Integration. In Mouza, C. (Chair), Critical Perspectives on using Simulations to Broaden Participation in Computer Science through K-12 Teacher Education. Symposium conducted at the meeting of the American Educational Research Association, Online.

Leftwich, A. T., & Sullivan, F. (2021, April 9). Elementary Pre-service Teachers and CS Problems of Practice. In Mouza, C. (Chair), Critical Perspectives on using Simulations to Broaden Participation in Computer Science through K-12 Teacher Education. Symposium conducted at the meeting of the American Educational Research Association, Online.

Miller, A., LoBello Miller, J., Rollag-Yoon, S., & Larke, L. R. (2021, April 9). Critical Reflection in Building Practice Spaces: Examining our Pedagogical Writing Processes for Equity. The Annual Meeting of the American Educational Research Association (AERA).

Sheridan, S., Alkhateeb, B., & Mouza, C. (2021, April 9). Comparing How In-service and Pre-service Teachers Confront Elementary CS Equity Problems of Practice. In Mouza, C. (Chair), Critical Perspectives on using Simulations to Broaden Participation in Computer Science through K-12 Teacher Education. Symposium conducted at the meeting of the American Educational Research Association, Online.

Sheridan, S., Alkhateeb, B., & Mouza, C. (2020). Online Simulations: How Can We Better Prepare Preservice Teachers for the Classroom at a Distance? Society for Information Technology & Teacher Education International Conference, 157–158. https://www.learntechlib.org/primary/p/218135/

Sullivan, F., Hillaire, G., Larke, L. R., & Reich, J. (2020). Using Teacher Moments during the COVID-19 Pivot. Journal of Technology and Teacher Education, 28(2), 303–313.

Fellowship Team



Zoubeid Dagher

INSPIRE CS-AI Fellow

Yin-Chan Janet Liao

INSPIRE CS-AI Fellow

Stephanie Rollag Yoon

INSPIRE CS-AI Fellow

Sara Vogel

INSPIRE CS-AI Fellow

Doctoral Student (CMU)

Meredith Thompson

Research Scientist and Lecturer

Melissa Stange

INSPIRE CS-AI Fellow

INSPIRE CS-AI Fellow

INSPIRE CS-AI Fellow

Postdoctoral Associate

Executive Director Of Teaching Systems Lab & Assistant Professor Of Comparative Media Studies/Writing

INSPIRE CS-AI Fellow

jason trumble

INSPIRE CS-AI Fellow

Jana LoBello Miller

INSPIRE CS-AI Fellow

Undergraduate Research Assistant

Postdoctoral Associate

INSPIRE CS-AI Fellow

INSPIRE CS-AI Fellow

INSPIRE CS-AI Fellow

INSPIRE CS-AI Fellow

INSPIRE CS-AI Fellow

Professor (CMU)

INSPIRE CS-AI Fellow

INSPIRE CS-AI Fellow

INSPIRE CS-AI Fellow

Aman Yadav

INSPIRE CS-AI Fellow

Undergraduate Research Assistant

INSPIRE CS-AI Fellow

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