eLearning Glossary – A to Z

A practical, plain-language reference for the terminology that matters in modern eLearning, instructional design, and course analytics.

Written for instructional designers, SMEs, L&D leaders, and anyone who needs clear definitions without unnecessary jargon.

How to use this glossary

Each entry provides:

  • A straightforward definition
  • Practical context
  • Why the term matters
  • Frequently asked questions
  • Links to authoritative sources when appropriate

The goal is understanding, not buzzwords.

Jump to letter

A

ADDIE

Instructional design framework based on Analyze, Design, Develop, Implement, and Evaluate.

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C

Cross-Course Learning Patterns

Insights discovered by analyzing learner behavior across multiple courses instead of one at a time.

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Cross-Course Intelligence

Enterprise-level analytics that connect learning data across regions, departments, and programs.

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E

Enterprise Cross-Course Intelligence

AI-driven analysis of organization-wide learning trends and patterns.

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I

Instructional Designer (ID)

The professional responsible for designing how learning content is taught.

L

LMS (Learning Management System)

The platform used to deliver courses, track completions, and maintain training records.

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R

Rise 360

Articulate's responsive, web-based eLearning authoring tool for rapid course development.

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S

SCORM (Sharable Content Object Reference Model)

The global standard for packaging and tracking eLearning courses in an LMS.

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SCORM Analytics Beyond Completion

Extracting meaningful insights from SCORM data beyond simple pass/fail metrics.

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SCORM vs xAPI

Practical comparison of when each standard is appropriate.

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Storyboard

The blueprint document that organizes approved course content before development.

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SME (Subject Matter Expert)

The person responsible for content accuracy and approval.

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X

xAPI / Tin Can (Experience API)

A flexible standard for tracking learning experiences across systems and environments.

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Why these terms matter

Modern eLearning involves many tools, standards, and processes. Misunderstanding terminology leads to:

  • Poor purchasing decisions
  • Inefficient workflows
  • Unrealistic expectations
  • Frustrating implementations

Clear language creates better training.

Our approach

This glossary is intentionally:

Practical instead of academic
Focused on real-world use
Friendly to non-technical readers
Grounded in industry standards

Where appropriate, we reference neutral authorities such as:

  • Advanced Distributed Learning (ADL)
  • Articulate
  • Established learning technology organizations

Missing a term?

The language of learning technology evolves constantly. If there is a term you think should be included, we welcome suggestions.

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