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PROFILE — Marsha Lovett
Click to Enlarge Photo . . . Teaching Professor
Area: Cognitive

Contact information:
Email: lovett+@cmu.edu
Psychology office: CYH127
Psychology phone: 412-268-3499



Research Interests:

In my research, I study how learning works (mostly in college-level courses) and then find ways to improve it. I have done this in several disciplines, including physics, matrix algebra, programming, statistics, and engineering. I use various methodologies in my work, including computational modeling, protocol analysis, laboratory experiments, and classroom studies. As a result, I have developed several innovative, educational technologies to promote student learning and metacognition, including StatTutor (an intelligent tutoring system for statistics) and the Learning Dashboard (a learning analytics system that promotes adaptive teaching and learning in online instruction).

Besides my appointment in the Psychology Department, I am Director of the Eberly Center for Teaching Excellence. At the Eberly Center, I apply theoretical and empirical principles from cognitive psychology to help CMU faculty improve their teaching. Combining my research and Eberly Center work, I co-authored the book, How Learning Works: 7 Research-Based Principles for Smart Teaching, that distills the research on how students learn into a set of fundamental principles that instructors can use to guide their teaching.


 

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). Defeating the Developer’s Dilemma: An Online Tool for Individual Consultations. To Improve the Academy, 27, 183-198.

Click HERE for a complete list of Publications
 


Related Links:

  • Curriculum Vitae (pdf file)
  • Eberly Center for Teaching Excellence
  • Program in Interdisciplinary Education Research (PIER)
  • CMU Directory Information