M-Powering Teachers
A machine learning tool for instructional measurement and feedback
Together with our partners at the University of Maryland and Harvard, our team with expertise in education, linguistics, economics, and computer science, has designed a machine learning-based feedback tool called M-Powering Teachers. (M stands for machine.) This tool utilizes natural language processing to analyze verbal classroom interactions and subsequently provides formative feedback to teachers.
M-Powering Teachers provides a dynamic platform dedicated to enhancing the professional growth and effectiveness of teachers. Through machine learning-based automated feedback on mathematics lessons, personalized support, and continuous improvement research, we aim to empower educators to excel in their practice, inspire lifelong learning, and positively impact student success. Together, we strive to cultivate a thriving ecosystem where teachers can access the tools, knowledge, and connections needed to help each student reach their full potential.
Above is an screenshot of the M-Powering Teachers Dashboard
Related Publications
- Demszky, D., Liu, J., Hill , H., Sanghi, S., & Chung, A. (2025). Automated feedback improves teachers’ questioning quality in brick-and-mortar classrooms: Opportunities for further enhancement. Computers & Education, 227. https://doi.org/10.1016/j.compedu.2024.105183
- Attia, A., Liu, J., Ai, W., Demszky, D., & Espy-Wilson, C. (2024). Kid-Whisper: Towards bridging the performance gap in automatic speech recognition for children vs. adults. AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES).