Scholar
Tom Mitchell
Google Scholar ID: MnfzuPYAAAAJ
Founders University Professor of Machine Learning, Carnegie Mellon University
Citations & Impact
Citations
48,681
H-index
64
i10-index
181
Publications
20
Co-authors
79
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'Ruffle and Riley: Towards the Automated Induction of Conversational Tutoring Systems' (NeurIPS 2023), 'Assessing the Knowledge State of Online Students -- New Data, New Approaches, Improved Accuracy' (arXiv:2109.01753, September 2021), 'Transferable Student Performance Modeling for Intelligent Tutoring Systems' (arXiv preprint arXiv:2202.03980, February 2022), 'Learning to Give Useful Hints: Assistance Action Evaluation and Policy Improvements' (EC-TEL 2023, September 2023).
Research Experience
- Current Position: Professor at the School of Computer Science, Carnegie Mellon University; Research Projects: Using Large Language Models to improve online education systems, tracking the knowledge state of students, etc.
Background
- Research Interests: Artificial Intelligence, Machine Learning, Educational Technology. Profile: A professor at the School of Computer Science, Carnegie Mellon University, focusing on using AI to improve education, healthcare, and more.
Miscellany
- Co-authored a report on the impact of AI on the future of work (with Erik Brynjolfsson), presented on AI topics to senior Republican Senate staff, discussed the future of generative AI at the SCSP Global Emerging Technology Summit, and chaired a task force for the non-partisan, non-profit SCSP, advising the U.S. government on large language models.
