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    Glossary›xAPI (Tin Can)
    Glossary · Standard

    What is xAPI (Tin Can)?

    Definition

    xAPI, also known as Tin Can, is a modern learning technology specification that captures learning experiences across any system or platform. Unlike SCORM, which limits tracking to LMS environments, xAPI tracks learning that happens through online courses, mobile apps, physical activities, and informal settings. This flexible standard uses learning statements (actor-verb-object) to document what, where, and how someone learned, making it the foundation for comprehensive learning analytics and AI-driven personalization.

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    Learning AnalyticsData FormatLMS IntegrationExperience TrackingStandardsxAPI (Tin Can)
    In short

    xAPI (Tin Can) at a glance.

    Records learning activities across any platform or channel
    Enables detailed tracking beyond traditional course completion
    Uses learner statements to document experience data
    Powers advanced reporting and adaptive learning systems

    xAPI vs SCORM: Flexibility and Scope

    SCORM tracks only within an LMS; xAPI tracks everywhere. Where SCORM's rigid 'pass/fail' or 'time spent' metrics work for formal courses, xAPI captures nuanced behaviors: which video a learner skipped, how a collaboration tool was used, or learning that happened offline. Modern AI learning platforms rely on xAPI to feed recommendation engines, because the richer data reveals how each learner actually learns best.

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    xAPI (Tin Can) — frequently asked

    A learning statement is a simple record with three core parts: who did the learning (actor), what they did (verb), and what they interacted with (object). For example, 'Alex completed a sales module' or 'Jamie practiced a skill scenario.' These statements stack up to create a complete picture of a learner's experience.

    xAPI is more powerful and flexible, but both may coexist. Organizations with existing SCORM-based content can migrate gradually. xAPI is better for modern AI learning systems because it captures the behavioral data those systems need to personalize at scale.

    Large enterprises tracking employee development across many tools, organizations using mobile or blended programs, and learning teams that need granular analytics to improve outcomes. Smaller organizations using a single LMS may find SCORM sufficient initially.

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