Arizona State University Learning@Scale

Empowering researchers and scientists with data to impact student achievement and learning outcomes.


The ASU Learning@Scale (L@S) project develops the foundational infrastructure and protocols that connect a wide range of student data to researchers across and beyond ASU.

We provide researchers with access to data on student achievement, learning, persistence, courses and more, while maintaining individual and institutional privacy.

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The importance of access to data

L@S provides a platform to promote innovation in research, analytical methods and collaboration to enhance universal lifelong learning. When researchers have access to examine student data using exploratory and experimental methods, it can result in the advancement of equity-oriented research, benefiting all students. In the video, L@S principal investigator, Dr. Danielle S. McNamara, explains the importance of data access.

Through the L@S platform, you can access ASU’s wealth of single-point and longitudinal student data in one place.

Rather than navigating restrictions and tracking down data in multiple locations, you have everything you need at your fingertips.

The five foundational data tables

Our team identified and prioritized five foundational elements that provide a comprehensive understanding of the ASU student learning experience. Integrating these datasets enables impactful and embedded research at ASU that enhance student outcomes and contribute to theories of how people learn.

The student profile includes academic performance and demographics, such as:

  • Demographic information for a variety of variables, including age, gender, ethnicity, Pell eligibility, admit type, academic load and first-generation status.
  • Current performance measures, including overall GPA, number of courses enrolled per semester, progress and more.
  • Prior performance measures, including high school GPA, high school rank, ACT/SAT scores and advanced placement (AP) courses.

Data dictionary

Data descriptions and definitions can vary across institutions. This data dictionary can help you understand the L@S standard data elements. You can also gain insight into the expansive library you can leverage through the L@S platform.

Submit a data request

To support your independent and custom data requests, we’ve designed a comprehensive intake process with steps to guide you. As you move through each step, we’ll collaborate with you to:

  • Scope the lift
    Determine associated risks, effort and costs.

  • Determine expected turnaround
    Meet your time constraints while balancing many requests.

  • Communicate research and publication expectations
    Explain the expectation that you’ll publish and share results associated with L@S data.

Research intake process

  1. Complete Intake Form A

  2. Complete Intake Form B

  3. Complete Intake Form C


Frequently asked questions

How can I learn more about ASU students and courses?

What types of data can be accessed on the ASU L@S platform?

How does IRB approval and submission work?

How is data shared from L@S?

Meet the L@S team

Our team consists of collaborators across EdPlus, ASU and the community.



Danielle S. McNamara

Principal Investigator


Bethany Weigele



Rod Roscoe



Ariel Anbar


Advisory board


Tiffany Barnes

North Carolina University

Richard Baraniuk

Rice University

Norman Bier

Carnegie Mellon University

Christopher Brooks

University of Michigan

Scott Crossley

Georgia State University

Michael Feldstein

Empirical Educator Project

Rene Kizilcec

Cornell University

Rose Luckin

University College London

Alina Von Davier

EdAstra Tech and Duolingo

The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305N210041 to Arizona State University. The opinions expressed are those of the authors and do not represent the views of the Institute or the U.S. Department of Education.

A researcher in protective gear conducts a lab experiment. A researcher in protective gear conducts a lab experiment.

Contact us

We’d love to hear from you. Send an email to or fill out the contact form below, and a member of our team will be in touch.

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Our team will review your request and respond shortly. Keep exploring this page to learn more about Learning@Scale, available data, the intake process, FAQs and more.