Office: 439 MURDC
Phone: (412) 624-7498
Associate Professor, School of Computing and Information
Research Scientist, Learning Research & Development Center
Intelligent tutoring systems, computer-supported collaboration, tangible and embodied learning environments, human-robot interaction, technology for the developing world, personalized learning environments, learning technologies, human-computer interaction
Ahmed, I., Girotto, V., Mawasi, A., Whitehurst, A., Wylie, R., & Walker, E. (2019, January). Co-Design for Learner Help-Giving Across Physical and Digital Contexts. In International Conference on Computer-Supported Collaborative Learning, (Vol. 2).
Wang, S., Sonmez, D., & Walker, E. (2019). MindDot: Supporting Effective Cognitive Behaviors in Concept Map-Based Learning Environments. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, p. 28.
Girotto, V., Walker, E., Burleson, W. (2019). CrowdMuse: Supporting Crowd Idea Generation through User Modeling and Adaptation. In Proceedings of the 2019 Conference on Creativity and Cognition, (pp. 95-106).
Lubold, N., Walker, E., Pon-Barry, H., & Ogan, A. (2019). Comfort with Robots Influences Rapport with a Social, Entraining Teachable Robot. In Proceedings of the 2019 International Conference on Artificial Intelligence in Education, (pp. 231-243). Springer.
Ahmed, I., Mawasi, A., Wang, S., Wylie R., Bergner, Y. Whitehurst, A., & Walker, E. (2019). Investigating Help-Giving Behavior in a Cross-Platform Learning Environment. In Proceedings of the 2019 International Conference on Artificial Intelligence in Education (pp. 14-25). Springer.
Walker, E., Wylie, R., Danielescu, A., Rodriguez III, J. P., & Finn, E. (2018). Balancing student needs and learning theory in a social interactive postdigital textbook. In End-User Considerations in Educational Technology Design (pp. 141-159).
Lubold, N., Walker, E., Pon-Barry, H., & Ogan, A. (2018). Automated pitch convergence improves learning in a social, teachable robot for middle school mathematics. In International Conference on Artificial Intelligence in Education (pp. 282-296). Springer, Cham.
Frens, J., Walker, E., & Hsieh, G. (2018). Supporting answerers with feedback in social Q&A. In Proceedings of the Fifth Annual ACM Conference on Learning at Scale (p. 10).
Lubold, N., Walker, E., Pon-Barry, H., Flores, Y., & Ogan, A. (2018). Using iterative design to create efficacy-building social experiences with a teachable robot. In Proceedings of the International Conference for the Learning Sciences (ICLS 2018).
Erin Walker, SCI, has been named principal investigator for a National Science Foundation grant to study the use of robots in middle school math classrooms. Her co-principal investigators are Diane Litman, Computer Science, and Timothy Nokes-Malach, Psychology, and Adriana Kovashka, (SCI).
November 10, 2020
Kudos to LRDC Research Scientist and Associate Professor, School of Computing and Information (SCI), Erin Walker along with Leshell Hatley on their Google AI 2020 Award for Inclusion Research, for "Developing a Dialouge System for a Culturally-Responsive Social Programmable Robot."
October 26, 2020
Erin Walker, Diane Litman, Timothy Nokes-Malach, and Adriana Kovashka received a National Science Foundation award for their study on "Designing Effective Dialogue, Gaze, and Gesture Behaviors in a Social Robot that Supports Collaborative Learning in Middle School Mathematics."
September 14, 2020
Kudos to LRDC Research Scientist Erin Walker, School of Computing and Information, who has earned tenure.
June 22, 2020