Dr. Marsha Lovett

Professor

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Biography

Marsha Lovett is a Professor of Psychology at Carnegie Mellon University and serves as the Vice Provost for Teaching and Learning Innovation. Her research focuses on cognitive science and learning science, primarily examining how interventions improve learning in fields such as physics, matrix algebra, programming, statistics, and engineering. She employs various methodologies, including computational modeling, protocol analysis, laboratory experiments, and classroom studies. Lovett has developed innovative educational technologies aimed at enhancing student learning, such as StatTutor, an intelligent tutoring system for statistics, and a Learning Dashboard that promotes adaptive teaching in online instruction. In her role, she oversees CMU’s Eberly Center, collaborating with teaching consultants, learning designers, and technologists to create impactful educational experiences. She has also led the launch of new online graduate professional education programs in partnership with academic units. Lovett co-authored the book "Learning Works," which presents research-based principles for effective teaching. Her recent publications include works on active learning, assessment measures for self-efficacy, and faculty culture in data-driven teaching.

Research Interests

Experience

Professor

2000-08-01 — Present

Carnegie Mellon University • Pittsburgh, PA

Professor in the Department of Psychology, focusing on cognitive and learning sciences.

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.