A Glossary of Digital Learning
About this glossary ↓A practical reference to the language of learning engineering, data interoperability, learning science, human-centered design, analytics, standards, and the systems that connect them. This glossary is designed for practitioners, leaders, researchers, vendors, and standards communities who need a common way to talk about learning systems across disciplinary boundaries.
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curated entries spanning learning science, digital systems, design, interoperability, analytics, privacy, governance, and operations.
Explore beyond the definition.
Follow connections between digital learning concepts, investigate their context, and use the reference in research, applications, and AI systems.
Knowledge Graph
Explore connections among 420 curated concepts. Follow semantic relationships, trace paths between terms, investigate supporting sources and context, and discover connections across fields and collections.
Open Knowledge Graph Explorer ↗Developer Tools
Integrate the glossary with applications and AI assistants using persistent identifiers, JSON-LD, REST, read-only SPARQL queries, and the Model Context Protocol (MCP).
Explore Developer Tools ↗Start with three major collections
Explore Learning Engineering, Learning Sciences, and Standards & Interoperability. Select any collection badge on a concept card to filter the glossary.
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