education program areas
Digital learning and technology program
SRI Education investigates ways to accelerate and expand the adoption of effective learning technologies
Our mission is to help educators identify and apply new, equitable approaches to digital learning that increase accessibility, teaching effectiveness and student outcomes.
Technology can be a powerful tool for transforming learning and improving achievement for students who have been historically underserved. Yet many inequities persist in students’ access to and use of technology for learning. Integrating technology into instruction can ensure high-quality digital learning opportunities for all students.
About the digital learning and technology
Students need the right knowledge and skills to succeed in the 21st century. SRI Education sees technology as a valuable tool for improving teaching and learning. But it is essential to consider how technology is designed and implemented to meet the needs of all students. Digital learning means more than technology itself—it also relates to how effectively the technology is used in the classroom.
SRI Education works with teachers, leaders and faculty from early childhood to higher education to design and use technology to help students learn complex concepts and skills, such as algebra, critical thinking and data literacy. We also study collaborative and assistive technologies, open educational resources, online courses, micro-credentials and adaptive learning systems that provide real-time feedback to guide teaching and learning. And we examine the impact of different approaches to implementing educational technology, such as 1:1 programs and course redesigns, on students’ learning experiences and outcomes.
SRI Education finds exciting opportunities to innovate. For example, we are exploring how emerging technologies such as artificial intelligence, speech recognition, virtual and augmented reality, computer vision and robotics can enhance learning and make education research more efficient and cost effective. Some of these technologies emerge from SRI’s own laboratories.
Recent work
-
Designing Education Innovations for Real-World Contexts
Not all innovations are created the same. Even the most promising educational products and programs can fall short if they don’t address the needs – and the everyday realities – of…
-
Assisting Parents to Review Online Videos for Education (APPROVE)
Researchers at SRI International developed an AI-powered YouTube filter that finds educational videos for kindergarten and prekindergarten children, including math videos and reading videos.
-
ASSISTments Efficacy & Replication Studies
Funded by the Institute of Education Sciences (IES) of the U.S. Department of Education, SRI Education conducted an efficacy study on the benefits of online homework support for students’ mathematics learning.
Our work
Our experts
-
Rebecca J. Griffiths
Principal Researcher, SRI Education
-
Jessica L. Mislevy
Director of Digital Learning & Technology Policy, SRI Education
-
Haiwen Wang
Senior Principal Education Researcher and Evaluation Methods Lead
-
Louise Yarnall
Senior Research Social Scientist, SRI Education
-
Linda Shear
Director of Commercial and International Strategy, SRI Education
-
Jennifer W Yu
Program Director/Senior Principal Scientist, SRI Education
-
Shari Gardner
Principal Education Researcher, SRI Education
-
Sarah Nixon Gerard
Senior Researcher, SRI Education
-
Claire Christensen
Education Researcher, SRI Education
-
Todd A. Grindal
Co-Director, Center For Learning & Development, SRI Education
Associated publications
-
YouTube’s ABCs and 123s: Describing the quality of early literacy and math videos on YouTube
This paper describes the quality of educational videos for young children on YouTube.
-
Sound Town Evaluation Report
Digital learning programs are a promising tool to support teachers in providing students with strong early literacy instruction, but more research is needed to understand their effectiveness. This report describes an experimental study that examined the impact of Sound Town, a digital early literacy program, on prekindergarten students’ early literacy skills.
-
Leveraging Artificial Intelligence to Predict Young Learner Online Learning Engagement
This study examines an artificial intelligence (AI)- powered automated system that uses voice and facial recognition to track both teacher and learner speech, facial expressions, and interactions in real-time in a one-to-one 25-minute online English class.