Education
Stanford University, PhD
Raquel Coelho
University of Pittsburgh
School of Computing and Information
Profile
Raquel Coelho holds a joint appointment as Assistant Professor of Emerging Technologies and Learning Sciences at the School of Computing and Information (SCI) and Research Scientist at the Learning Research and Development Center (LRDC) at the University of Pittsburgh. She received her PhD in Learning Sciences and Technology Design, along with Education Data Science, from Stanford University. Prior to joining Pitt, she was a postdoctoral researcher at the University College London's Knowledge Lab, UK, and later at the Centre for the Science of Learning & Technology (SLATE), University of Bergen, Norway. Raquel has also advised MA students at the Learning Sciences Research Institute (LSRI) at the University of Nottingham, UK. She remains affiliated with SLATE as a Senior Researcher and with the Transformative Learning Technologies Lab (TLTL) at Columbia University as a Research Fellow. Raquel is a founding member of the Learning Sciences Brazil Affiliate of the International Society of the Learning Sciences.
Students: Ye Deng, yed9@pitt.edu, PhD
Research
Raquel's research - grounded in learning sciences principles and human-centered frameworks - is focused on theorizing about, supporting learning with, and learning about emerging technologies (quantum information science, artificial intelligence, natural language processing).
Most Cited Publications
Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., ... & Kizilcec, R. F. (2024). What explains teachers’ trust in AI in education across six countries?. International Journal of Artificial Intelligence in Education, 1-29. ; Levine, S., Trepper, K., Chung, R. H., & Coelho, R. (2021). How feeling supports students’ interpretive discussions about literature. Journal of Literacy Research, 53(4), 491-515.; Pea, R. D., Biernacki, P., Bigman, M., Boles, K., Coelho, R., Docherty, V., ... & Vishwanath, A. (2023). Four surveillance technologies creating challenges for education. Learning: Designing the Future, 317.; Coelho, R., & McCollum, A. (2021). What Can Automated Analysis of Large-Scale Textual Data Teach Us about the Cultural Resources that Students Bring to Learning?. In Proceedings of the 15th International Conference of the Learning Sciences-ICLS 2021.. International Society of the Learning Sciences.; Simon, S., Coelho, R., Marfisi-Schottman, I., & Pea, R. (2024). Generative AI tools in an undergraduate computer science program. In Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024, pp. 2133-2134. International Society of the Learning Sciences.
Recent Publications
Coelho, R., Pea, R., Schunn, C., Cheng, J., & Liu, J. (2025). Advancing Quantum Information Science Pre-College Education: The Case for Learning Sciences Collaboration. arXiv preprint arXiv:2508.00668.; Coelho, R., Bjune, A. E., Ellingsen, S., Solheim, B. M., Thormodsaeter, R., Wasson, B., & Cotner, S. (2025). A Call for Clarity: Biology Students Advocate for Guidelines for the Use of Generative AI in Higher Education. Journal of Science Education and Technology, 1-13.; Coelho, R., Logan, C., Agkün, S., & Pea, R. (2025). A Design Space for Articulating and Addressing the Risks of Integrating Generative AI in Education. In Proceedings of the 19th International Conference of the Learning Sciences-ICLS 2025, pp. 1679-1683. International Society of the Learning Sciences.; Coelho, R., & Pea, R. (2024). Professors Exploring Large Language Models. In Proceedings of the 18th International Conference of the Learning Sciences-ICLS 2024, pp. 1331-1334. International Society of the Learning Sciences.; Viberg, O., Cukurova, M., Feldman-Maggor, Y., Alexandron, G., Shirai, S., Kanemune, S., ... & Kizilcec, R. F. (2024). What explains teachers’ trust in AI in education across six countries?. International Journal of Artificial Intelligence in Education, 1-29.;