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What is Learning Sciences and Why Does It Matter?

The Learning Sciences Research team at Digital Promise’s July 2019 retreat

How can research help everyone who is working to improve education, including teachers, educational leaders, designers, technologists, and policy makers?

Learning sciences research investigates the process of learning in realistic settings, which can include schools, museums, after-school programs, home environments, or anywhere people typically learn. In contrast, prior psychological research on learning was often conducted in a lab with artificial tasks and then applied to more realistic educational activities and settings.

Over the past 30 years, learning sciences has become a growing research field with its own society, journal, conference, and an active international community that tackles the challenge of real-world improvements in educational settings. We are passionate about creating equitable learning and building research-practice partnerships.

Key Features of Learning Sciences Research

Typically, learning sciences research includes four characteristics:

  1. Explores beyond general principles of learning, focuses on important concepts, and looks for evidence of learning in ways not just measured by typical tests
  2. Designs innovative approaches to learning and assessment, often taking into account a social, collaborative view of learning and using technology creatively
  3. Studies learning activity systems (not just one component)—such systems that integrate materials, technologies, supports, teacher professional development, assessments, leadership engagement, and other elements required to change teaching and learning
  4. Seeks improvement at scale by explicitly studying implementation and other challenges of scaling up as part of the scientific work

Learning Sciences as Equity Driven

The learning sciences field has long-standing commitments to addressing equity, empowering learners, and helping successful efforts scale.

The learning sciences field has long-standing commitments to addressing equity, empowering learners, and helping successful efforts scale. Learning sciences researchers seek to partner with people and organizations, understand their contexts and how learning happens in different places, and promote assets found in communities that foster learning. We do this because we know learning is active, socially constructed, and situated. At its core, the field values diversity; it draws on multiple methods to understand learning processes in realistic settings and across communities. We want to understand not just how people learn, but when, with whom, and for whom learning occurs.

Learning Sciences vs. Sciences of Learning

Sometimes a related field called “sciences of learning” is confused with learning sciences. These terms represent distinct research traditions and inform our understanding in different and complementary ways.

Sciences of learning recognizes that many sciences inform our understanding of how people learn, such as neuroscience, psychology, sociology, anthropology, and more. Research questions often start from foundational theories, for example, about how the brain works. After investigating these in a laboratory, often using experimental methods, the findings are applied in other settings.

On the other hand, learning sciences is informed by the same wide net but, as described above, investigates specifically how learning happens in real-life settings (e.g., schools, classrooms, museums, the workforce) with research questions, data gathering processes, and insights that are highly responsive to needs in those specific settings.

Where to Learn More

We’ve included a number of links to learning sciences resources below. For courses, webinars, and content related to the practical application of the learning sciences in teaching, check out CIRCL Educators. You can also leave comments or questions below for members of the Learning Sciences Research team at Digital Promise.

Places to Read More about Learning Sciences:

Ways to Get Involved:

Authors

Judi Fusco

Director Emerging Technologies and Learning Sciences

Jeremy Roschelle

Co-Executive Director, Learning Sciences Research

Read bio

Jeremy Roschelle, Ph.D., serves as co-executive director of Digital Promise’s Center for Learning Sciences Research (CLSR) where he leads research on the future of learning with technology. He co-leads the NSF Engage AI Institute and leads the U-GAIN Reading R&D Center, both of which investigate advanced uses of AI in education. Dr. Roschelle is a Fellow of the International Society of the Learning Sciences, and is internationally known for his work on artificial intelligence, computer-supported collaborative learning, learning mathematics with technology, and on scaling up research-based technologies. Over his 30+ year career, he has authored about 200 publications. His publications have about 28,000 citations and he holds 10 patents.

At Digital Promise, Dr. Roschelle oversees a dedicated group of researchers and learning scientists working to improve teaching and learning across preschool, PreK-12, and postsecondary programs. His focus is particularly on improving the infrastructure for generating research evidence and creating an infrastructure for learning-sciences-based applications of AI. Programs including SEERNet, AIMS EduData, and SafeInsights are creating state-of-the-art approaches to generating evidence on digital learning platforms. The K-12 AI Infrastructure Program is funding public goods, cultivating datasets, benchmarks and models that are grounded in the learning sciences.

Prior to joining Digital Promise, Dr. Roschelle led some of the most important research studies on the efficacy of technologies for learning mathematics. He is also well-known for his contributions to collaborative learning and his leadership of several national research hubs related to educational technology. Over the course of his career, he has secured and managed tens of millions of dollars in highly competitive external funding from federal agencies and global foundations. His research has contributed to policy, products, and into practical applications in schools. He also communicates about learning sciences research and AI directly to the public through his podcast, Future Fluent, and through his large following on LinkedIn.

Dr. Roschelle earned an bachelor’s degree in Computer Science  from the Massachusetts Institute of Technology and a Ph.D. in learning sciences from the University of California, Berkeley. He enjoys jazz, backpacking and photography.

Pati Ruiz

Director of Learning Technology Research