Ericson, Barbara J.

Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming

Kazemitabaar, M., Chow, J., Ma, C. K. T., Ericson, B. J., Weintrop, D., & Grossman, T. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 366

Solving parsons problems versus fixing and writing code

Ericson, B. J., Margulieux, L. E., & Rick, J. (2017) · Proceedings of the 17th Koli Calling International Conference on Computing Education Research

Teaching and Learning ProgrammingEducational Robotics and Engineering

Cited by 121

AI Literacy in K-12 and Higher Education in the Wake of Generative AI: An Integrative Review

Gu, X., & Ericson, B. J. (2025) · arXiv

Artificial Intelligence in EducationDigital literacy in education

Cited by 73

Evaluating the Efficiency and Effectiveness of Adaptive Parsons Problems

Ericson, B. J., Foley, J. D., & Rick, J. (2018) · Proceedings of the 2018 ACM Conference on International Computing Education Research

Teaching and Learning ProgrammingIntelligent Tutoring Systems and Adaptive Learning

Cited by 70

Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course

Padiyath, A., Hou, X., Pang, A., Viramontes Vargas, D., Gu, X., Nelson-Fromm, T., Wu, Z., Guzdial, M., & Ericson, B. (2024) · Proceedings of the 2024 ACM Conference on International Computing Education Research - Volume 1

Teaching and Learning ProgrammingArtificial Intelligence in Education

Cited by 35