Learning Sciences & Technologies

WPI’s Learning Sciences & Technologies Master's and Ph.D. program gives students and their teachers in K-12 schools the tools and techniques to make STEM (science, technology, engineering, and mathematics) and English teaching more effective.

Our world-renowned faculty work collaboratively with WPI students to use a scientific and social approach that blends technology, psychology, cognition, and education practices to reach K-12 students in real classrooms and have them think about subjects in a new way. Our research identifies techniques that measure and reflect individual learning styles and help us understand how students learn, given various social, emotional, cultural, and scientific influences.

The revolution we seek is global—elevating U.S. students’ competitive edge in a connected world. Getting there requires applying what we understand about learning to transform the current U.S. educational system, classroom by classroom. 

For More Information: https://sites.google.com/view/wpi-lst


Degree is also offered online.
Area of Study Bachelor Minor Certificate Master PhD
Learning Sciences & Technologies master phd

LS&T Course Information

Programmatic courses we recommend for 2022-23 academic year:

  • Fall 2022

    • CS565 User Modeling / Mon/Thurs from 4:00-5:20 (Dr. Neil Heffernan)

    • PSY590 Alternative Research in Learning Science / Tues from 6:00-8:50 (Dr. Stacy Shaw)

    • MA511 Applied Statistics for Engineers and Scientists / Time TBD

    • A student can always petition the department for permission to satisfy the program requirements in alternative ways. For instance, we have had graduate students take CS1005 to learn Python and also do some extra project work applying writing a python program to reform learning science data sets. The program looks kindly upon students who want to challenge themselves by learning programming skills, and recognizes there are not many good "on-ramps" to CS courses. 

  • Spring 2023

    • CS541 Deep Learning / Mon/Thurs 4:00-5:20 (Dr. Jacob Whitehill)

    • MA590 Special Topics: Causal Inference / Thursdays 5:30-8:20 (Dr. Adam Sales)

    • PSY506 Learning and Creativity / Wednesdays 4:00-6:50 (Dr. Stacy Shaw)

Additional Courses of Interest for LST Students

  • Spring 2023


171 NSF and other Federally funded projects share three-minute videos of their innovative work to improve STEM and CS teaching and learning. During the week of May 15th - May 22nd, we invite you to:

  • Browse short videos highlighting 171 STEM education initiatives. Use the filters to find those of interest.
  • Join the conversation by posting to the discussion related to each video that you view.
  • Vote for your favorite videos by casting a Public Choice Vote. Spread the word!

Stem for All website: http://stemforall2017.videohall.com/. Additional showcase videos:



See More News
Alumni Success Story

Manasi Vartak '10

Manasi Vartak '10 founded Verta to help companies build AI-enabled products faster than ever.

Insider: Avery Harrison ’19

Avery Harrison has an MS in LS&T in ’19, and is on a track to a PhD in ’22. Learn about her journey in the WPI Journal’s Insider page.

More from WPI's Alumni Magazine


ASSISTments a free web-based intelligent tutoring system was developed by a team led by Neil Heffernan, director of WPI’s Learning Sciences & Technologies program. This innovative technology uses many approaches to help students learn and help teachers assess student progress. A recent four-year study showed that completing mathematics homework using ASSISTments improved learning by 75 percent over normal gains. The study, by SRI International, was conducted with 7th and 8th grade students in Maine. Watch this video or read more to learn how this technology improved learning outcomes.

See How Graspable Math Works

Professor Erin Ottmar helped create Graspable Math, an online tool to help researchers understand how children learn about math. With that new understanding, researchers can help educators teach math in a way that will be more useful and efficient for everyone in the classroom. Students can explore their genuine curiosity, even learning to play with math equations, while gaining flexibility in their thinking about math. Watch this video to hear Professor Ottmar explain how her research improves learning.

Ivon Arroyo Researches Big Data, Intelligent Tutoring

Professor Ivon Arroyo’s well-funded, pioneering research uses technology to improve learning outcomes. Whether it’s with the NSF’s “Big Data Spokes” project or her work with the intelligent tutoring product MathSpring, Arroyo investigates the transformations that take place when education, technology, and a human angle align.

Students Immerse Themselves in LS&T Research

Alongside an interdisciplinary and collaborative team of WPI professors and K-12 teachers, WPI graduate students immerse themselves in real classrooms while using the latest technology and methods to gather and interpret data. With that insight, they develop and test techniques to foster increased subject interest, better learning, and effective teaching.

Facts and Figures


students-to-faculty ratio 


best career placement

The Princeton Review (2023)
over $10 million

National Science Foundation Research awards

Faculty in LS&T merge cutting-edge technology with real human response to improve teaching and learning outcomes. Our professors investigate everything from building wearable devices so children can create and play augmented reality math games to using software to challenge how children think about math problems. The department’s well-funded research is constant and always evolving to provide excellent opportunities for students to perform hands-on, transformative scientific inquiry. 

Neil Heffernan

Ivon Arroyo

Erin Ottmar

Joseph Beck

Jacob Whitehill

Career Outlook

The rapidly growing educational technology field is looking for employees with the kind of technical and real classroom experience WPI graduates have. Students often move into consulting or academic roles or launch entrepreneurial start-ups.