Full Spectrum of Learning
Navigator’s catalog offers a full spectrum of Open Education Resources for K-12, post-secondary, and life-long learning. The highly curated content is tagged to competencies that are cross-walked to state frameworks, and include accessibility tags. Navigator’s catalog includes more than 4 million open resources and 250,000 assessment questions.
Navigator indexes educational resources from publishers like EngageNY, CK12, NASA, Openstax, KQED, Khan Academy, and others. Its catalog of high-quality, metadata-tagged resources and questions has been used widely in practice, organized by educators as collections and assessments, and approved by leading researchers.
Content analysis of learning activities associates the activities with transcripts, summary, and phrase-cloud. Machine classification connects learning activities with competencies and resource types. Navigator uses the data stream to compute metadata such as relevance, engagement, and efficacy. These metadata are reviewed and enhanced by human experts where appropriate.
A full spectrum of learning resources, such as media-rich interactives, videos, labs, narratives, presentations, and offline rubric graded projects and experiential learning activities, are available. Machine-graded and teacher-rubric graded formative assessments can be searched and assigned to help all learners develop complex and abstract knowledge in a variety of subjects and domains.
For every discipline of learning, partners can collaborate with Gooru to develop the competency framework complete with learning maps and map the competencies to local norms. Existing curriculum can then be aligned to the competency framework to enable the navigation experience. Full-spectrum of learning activities can also be classified as collections and assessments and then used to create lessons that are aligned to competencies.
OERs are entered into the system and tagged by content experts or educators for standards, accessibility, and depth of knowledge. Relevance, efficacy, and engagement are automatically generated using activity stream data and a Bayesian Knowledge Tracing technique.