Versatility and Impact

Scale Across Disciplines, Geographies, and Learners

An approach that works in one sociocultural context with one set of users and educators is not guaranteed to work when replicated in another environment. Navigated Learning is designed to adapt and scale across disciplines and geographies.

It's All About the Learner

Navigator's ability to locate the learner is designed for scale with one representational model that is consistent across all facets of learning - subjects, non-cognitive, and socio-emotional. The representational model tracks progress and performance as well as non-cognitive measures. Gooru's visualization model is intuitive and actionable, all members can see data and make real-time informed decisions for each learner. While other systems deal with extreme details, Gooru enables learners with a visualization that is immediately understandable and actionable.

Full-spectrum of Learning Activities

Digital learning is about leveraging all available resources in education, from watching videos and answering multiple-choice questions to writing essays and working on group projects. Navigator scales because it captures data from a full-spectrum of learning activities. Offline projects, writing essays, and proofs are graded using rubrics and entered by the instructor and allow for a deeper characterization of the learner. Digital videos, simulations, and multiple-choice enhance the learning experience. All types of digital, offline, and social learning produce digital data that helps to dynamically locate the learner's knowledge, skills, and mindsets.

Works in All Environments

A large number of learners around the world have limited access to devices or connectivity. Navigator scales by working in classrooms with one instructor, one smartphone, and limited internet access to schools with computer labs and technology-rich environments with one-to-one devices and broadband connectivity.

Designed for All Learners

Navigator is designed for all learners, including those with special needs. Learners with disabilities have Skylines that locate them and obtain individual pathways with activities that are appropriate to them, including resources appropriate for the hearing impaired, those with color blindness, or learners on the autism spectrum.

Nancy Butler Songer, PhD

Nancy Butler Songer is a Distinguished University Professor and Dean of the School of Education at Drexel University. Dr. Songer is an expert in science education and learning technologies with particular emphasis on the assessment of science knowledge and the design of learning environments that emphasize critical thinking in science.

Teomara (Teya) Rutherford, PhD

Dr. Teomara (Teya) Rutherford at the University of Delaware is working to understand how motivation and self-regulation feature in student's choices within Math Navigator and how their choices illustrate their strengths and area of improvement in social-emotional learning to provide actionable insights for teachers.

Srinath Srinivasa, PhD

Srinath Srinivasa is Dean of Research and Professor of Computer Science at International Institute of Information Technology at Bangalore (IIIT-B). He works in the broad areas of web information retrieval, multi-agent systems, network analysis and text mining.

Kenji Hakuta, PhD

Kenji Hakuta is an Emeritus Professor in the Graduate School of Education at Stanford University. His areas of teaching and research are bilingualism, second language acquisition, education policy and social and experimental research.
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Tanya Dewey, PhD

Dr. Dewey of Colorado State University is interested in the impact of authentic, data-driven inquiry on student engagement and learning gains in biology classrooms. She works with faculty across the United States to improve integration of quantitative and data-driven skills into undergraduate classrooms.

Youngmoo Kim, PhD

Dr. Youngmoo Kim is Director of the Expressive and Creative Interaction Technologies (ExCITe) Center and Professor of Electrical and Computer Engineering at Drexel University. He is interested in human-machine interfaces and robotics for expressive interaction, analysis-synthesis of sound, and K-12 outreach for engineering, science, and mathematics education.

Vasile Rus, PhD

Dr. Rus conducts state-of-the-art research and teaching in the area of language and information processing in the Department of Computer Science at the University of Memphis. He explores fundamental topics such as natural language based knowledge representations, semantic similarity, and question answering as well as applications such as intelligent tutoring systems and software defect knowledge management.

Anjini Kochar, PhD

Anjini Kochar is the Director of the India Programme at the Stanford Centre for International Development (SCID) and former Assistant Professor in the Department of Economics, Stanford University. Her research focuses on the micro-economics of development, and specifically on issues related to education, health, credit, population, inequality and the effectiveness of government programs.

Neal Finkelstein, PhD

Dr. Neal Finkelstein serves as Co-Director of WestEd's Innovation Studies program. He is responsible for developing research and evaluation designs that study the impact of program implementation in K–12 public schools.

Lav Varshney, PhD

Lav Varshney is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Illinois, Urbana-Champaign. He is interested in analyzing socio-technical information systems through data analytics.
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As a research organization, we strive to improve learning outcomes and teaching practices continually. We publish in peer-reviewed journals and present at academic conferences.

The Math of
Navigated Learning

The Science of Navigated Learning

Research Publications

Meeting the Needs of All Learners

Navigated Learning is designed for flexibility and accessibility.