Ingrid Russell
Papers
4
Total Citations
47
H-Index
3
About
Ingrid Russell is an AI educator and curriculum researcher whose work sits at the intersection of artificial intelligence, machine learning, and computer science pedagogy. She is best known for her contributions to the Project MLeXAI (Machine Learning eXperiences in Artificial Intelligence) initiative, a multi-institutional effort dedicated to building reusable, hands-on curriculum materials for undergraduate AI courses. Her most influential work, "Games and machine learning: a powerful combination in an artificial intelligence course" (2010), has accumulated 31 citations and showcases her innovative approach of using game-based projects to teach complex machine learning concepts in engaging, accessible ways. Russell's research consistently emphasizes the importance of practical, project-centered learning, helping students bridge the gap between AI theory and real-world application. Through her multi-institutional framework for teaching core AI topics, she has helped shape how computer science programs integrate AI education across institutions. Her sustained focus on curriculum development and pedagogical innovation has made her a meaningful contributor to the AI education community, influencing how the next generation of computer scientists encounters and understands artificial intelligence and machine learning.
Research Focus
Key Achievements
Top Papers
- 1
- 2Teaching AI through machine learning projects8 citations · 2006
- 3Teaching AI through machine learning projects5 citations · 2006
- 4A multi-institutional project-centric framework for teaching AI concepts3 citations · 2009