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Nightly sleep duration predicts grade point average in the first year of college

Distinguishing Two Types of Prior Knowledge That Support Novice Learners

Improving Student-Driven Feedback and Engagement in the Classroom: Evaluating the Effectiveness of the Speed Dating Model

Multimedia learning principles at scale predict quiz performance

Supporting Technical Professionals’ Metacognitive Development in Technical Communication through Contrasting Rhetorical Problem Solving

[0470484101] [9780470484104] How Learning Works: Seven Research-Based Principles for Smart Teaching 1st Edition-Hardcover

Marsha Lovett's research considers how learning works (mostly in college-level courses) and ways to improve it. She has used various methodologies in her work, including A/B testing, computational modeling, protocol analysis, laboratory experiments and classroom studies. She has 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). At the Eberly Center, Lovett leads a team of teaching consultants, learning engineers, designers, data scientists and technologists to help instructors create meaningful and demonstrably effective educational experiences – both in-person and online. A signature of this work is research-based design combined with data-informed refinement.

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Classroom Studies

Computational Modeling

Machine Learning

Protocol Analysis

Educational Technologies

StatTutor

Learning Dashboard

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Teaching Professor and Vice Provost

In a back-to-back special, we’re continuing to explore how learning works through the book “How Learning Works: 8 Research Based Principles of Smart Teaching.”

Picking up from our last episode with Dr. Marie Norman at the University of Pittsburgh, a short walk down Forbes Ave towards Carnegie Mellon, you can find the office of today’s guest, Dr. Marsha Lovett.

Starting as a professor in Carnegie Mellon’s psychology department, Dr. Lovett now serves as Vice Provost for Teaching and Learning Innovation. She manages the Eberly Center, a team of teaching consultants, learning designers, data scientists, and technologists who help instructors create meaningful and demonstrably effective educational experiences (and still, she has time to teach her psych classes).

Dr. Lovett’s psychological background was front and center in our chat with her, where we talked about the importance of motivation and engagement in learning, the power of generative learning, and how organizations can really tell if the information they’re teaching people is sticking, and working.

If you enjoyed our last podcast, this is a great follow up to dive even deeper into how learning really works, so with that…let’s bring it in!

#96: Marsha Lovett — Author of “How Learning Works: 8 Research Based Principles of Smart Teaching”

We interview learning science experts from Carnegie Mellon University on the nature of learning science.

What is Learning Science from an Educator's Perspective?

Learning Engineering in Action

Media Inquiry