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PROFILE — Marsha Lovett

Associate Teaching Professor
Area: Cognitive
Contact information:
Email: lovett+@cmu.edu
Psychology office: CYH124
Psychology phone: 412-268-3499
Director,
Learning and Problem Solving Lab
Lab link: http://www.psy.cmu.edu/LAPS
Research Interests:
Dr. Marsha Lovett is Associate Director, Faculty Development, for the Eberly Center for Teaching Excellence and Associate Teaching Professor in the Department of Psychology. She received her doctorate in Cognitive Psychology from Carnegie Mellon in 1994. Her main responsibilities at the Eberly Center include consulting with faculty who wish to improve their teaching, as well as planning and organizing programs for faculty, such as Incoming Faculty Orientation.
Much of Dr. Lovett's applied research involves studying learning at the college level and then finding ways to improve it. She has studied high school and college students' learning in several disciplines, including geometry, physics, matrix algebra, programming, and statistics. For example, her work in statistics led to the design and development of StatTutor, an intelligent tutoring system that helps students learn to solve data-analysis problems. StatTutor is used by hundreds of college students at Carnegie Mellon and several other high schools and colleges around the country.
She has published more than 30 articles and chapters on learning and instruction and is co-editor of the book Thinking with Data. In recent years, she has received funding form the National Science Foundation, the Office of Naval Research, the Hewlett Foundation, and the Pew Foundation.
Publications:
Ambrose, S. A., Bridges, M. W., DiPietro, M., Lovett, M. C., & Norman, M. K. (2010). How Learning Works: Seven Research-Based Principles for Smart Teaching. San Francisco, CA: Jossey-Bass.
Lovett, M. C., Meyer, O., & Thille, C. (2010). In search of the “perfect” blend between an instructor and an online course for teaching introductory statistics. Proceedings of the Eighth International Conference on the Teaching of Statistics.
Rosenberg-Lee, M., Lovett, M. C., & Anderson, J. R. (2009). Neural correlates of arithmetic calculation strategies. Cognitive, Affective, & Behavioral Neuroscience, 9, 270-285.
Lovett, M. C., Meyer, O., & Thille, C. (2008). Open Learning Initiative: Testing the accelerated learning hypothesis in Statistics. Journal of Interactive Media in Eduction. [special issue printing top papers from the OpenLearn Conference 2008]
DiPietro, M., Norman, M., Lovett, M., et al. (2008). Purposeful consultations: A framework for balancing theory, tips, and time. To Improve the Academy.
Click HERE for a complete list of Publications
Related Links:
Curriculum Vitae (pdf file)
Learning and Problem Solving Lab
Eberly Center for Teaching Excellence
CMU Directory Information
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