r/elearning • u/OverDimension • 4d ago
xAPI implementation breaking our builds, need advice
have some trouble when trying to track custom learner actions past our basic SCORM packages into full xAPI. Trying to capture offline app usage, complex simulations, plus detailed video interactions while legacy LMS infrastructure under heavy Experience API statement streams. Cobbling together custom JSON payload builder lead to brittle scripts crashin. Clients want clear analytics in LRS databases,but we waste all the time to fix bugs and can’t give it to them. Need some help here, any advices to fix that issues and stabilise our prod
Thank 4 any help you can give me
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u/AcademyLauncher 3d ago
Is this a SCORM package with xAPI added, or an xAPI/cmi5 implementation? Is it sending statements directly to an LRS or through your LMS?
xAPI statements should be sent to the LRS endpoint using authenticated HTTP requests. Avoid embedding permanent LRS credentials in browser or mobile content; use short-lived/scoped credentials or a server-side proxy.
For offline usage and heavy traffic, queue statements locally [ & that is how offline works ], validate them before sending, retry failed requests with backoff, and assign stable statement UUIDs to prevent duplicates. Which LRS/LMS are you using, and what HTTP errors or response codes are you receiving?
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u/Xented 18h ago
Most of the pain here is usually not xAPI itself, it is the hand-rolled statement builder plus routing statements through the LMS. A few things that stabilize builds fast:
Stop generating raw JSON per interaction. Use a maintained client (the xAPI wrapper, or cmi5 if your content is launched from the LMS) so verb and object structure is validated before it leaves the browser. Most brittle scripts are actually malformed or inconsistent actor/object IDs.
Pin your activity ID scheme now and write it down. Changing IDs mid-project is what quietly wrecks reporting later.
Batch statements instead of firing one per interaction, especially for video and simulation events. Video alone can generate hundreds of statements per learner. Queue them and POST in batches, with retry and a local buffer for offline.
Send to a real LRS endpoint directly rather than pushing everything through a legacy LMS that was never built for that volume. Keep credentials server side and issue short-lived scoped tokens to content.
If the client LMS is not a viable statement target, hosting the package and the LRS outside it is worth looking at. We run that layer at Allure Connect, but the notes above apply either way. What LRS and LMS are you on now, and what response codes are you seeing when it breaks?
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u/kgrammer CTO KnowVela LLC 4d ago
What LMS are you using and what do they say when you contact them?