How can you translate a Coassemble course into other languages while keeping its learning structure, quizzes, images, narration and delivery consistent? Coassemble’s documented language workflow creates translations associated with a default course and serves a suitable version according to a learner’s browser language. That makes course localization different from manually copying a slide deck: learners can be shown a translated experience without choosing from a menu, but course owners must understand structural inheritance, fallback behavior, synchronization and the responsibility to review generated language.
This guide explains how Coassemble translations work, including language children of a default course, the Languages menu, target-language text and images, narration generation, automatic browser-language selection, default-language fallback, multilingual SCORM export and the treatment of updates after source changes. It is intended for instructional designers, trainers, workplace learning teams and developers embedding courses or connecting delivery to an LMS. The practical question is how to keep the translated experience educationally equivalent, accessible and maintainable rather than assuming automatic translation equals automatic approval.
Coassemble’s official language documentation, accessed in October 2026, describes creating a language from the Languages control, editing the resulting translation, optionally generating narration during publication, and loading the learner’s language from browser settings with a default fallback. It also identifies boundaries: translated courses inherit the original structure, email-capture and verification messages remain English, and narration voice selection differs for translated versions. These documented limits are part of the design, not footnotes. Plan learner communication and quality assurance around what the platform does and does not localize.
The answer in one minute
Build and test the source course first. In the supported Coassemble authoring environment, use Languages to add the needed target and generate a translation. Review every title, description, screen, question, choice, feedback message and image. Because a translation inherits the default course’s structure, make structural changes in the source rather than attempting to redesign individual language children independently. If narration is required, review the spoken script and generate approved target-language audio during publication. Test browser-language matching and default fallback, then validate the output in the real delivery channel or SCORM-compatible LMS. Preserve the source revision, translated edits, language coverage, narration settings and evidence of review.
A translation is a child, not an unrelated duplicate
Coassemble documents a translated version as a child of the default course. The child’s content shares its parent’s structure, while text and images can be localized. That distinction makes it easier to reason about the course as one training system with language surfaces. But it also sets a boundary: do not plan different lesson structures, screen order or logic for individual children unless the product offers a supported method in your workspace. If a region requires a different learning path, decide whether that is truly localization or a separately designed course. Stable structure helps track equivalent objectives across languages.
What the Languages workflow does
The official help article describes opening a course’s Languages control, adding a translation, choosing a target language and generating the translation. The new language appears as an editable version. Treat generated text as a draft requiring subject and linguistic review. A course title or option may be translated fluently while the intended learning action is wrong. Use realistic source material and sample several kinds of screens before committing to a large rollout. A professional process also records who approved each target language and how the translation should be retested after future edits.
Understand automatic language matching
Coassemble’s documentation says the learner experience matches the browser’s language when an available translation exists and otherwise falls back to the default course language. Learners do not use a built-in language chooser in that documented experience. This means device and browser settings can decide which text an employee encounters, and the choice may not match the language the employee prefers. Test with multiple browser-language configurations and make a support plan for changing settings where permitted. A platform default is a technical fallback, not proof that the learner comprehends the resulting language.
The default language is a governance decision
Coassemble documents that a translated version can be promoted to become the default. This can affect what learners see when there is no matching browser language. Choose the default deliberately according to the intended audience and support strategy. If the organization serves many regions, there may be no perfect default, so provide appropriate learner support outside the course. Document the decision and test it against unsupported languages. Changing the default should not be a casual cosmetic edit, because it alters the experience of people whose browser settings do not match a translated edition.
Text and images have separate review needs
The platform describes translation coverage for course titles, descriptions, lesson content, quiz questions and feedback, with options to swap or edit images for a target language. A visual can teach a concept, contain embedded text or represent a regional policy. The review must cover those layers independently. For example, a safety diagram whose labels have been translated in text but not on the image is contradictory. Use editable artwork when possible, create an approved localized media version and ensure the alternative description tells the same story. A graphic without words may still need a cultural or regulatory check.
Structure and updates have different lifecycles
The official documentation states that translations inherit the default course’s structure. Adding a screen to the source may require manually syncing it into targets, while removed screens can be removed from translations; another help page describes re-syncing to bring changed content into the target. Treat source updates as a controlled release event rather than assuming language children change safely on their own. After a new source screen or question is added, inspect every target, redo relevant translations and check media, narration and assessment conditions. A useful version register makes stale locales visible before learners encounter them.
Narration requires budget and listening review
Coassemble’s documented workflow can generate narration for translated versions when publication includes translations and narration generation. The help article notes that narration consumes an allowance and that translated versions have their voice selected automatically, while default-course voice selection is more directly controllable. Plan the number of languages and revisions before generating long audio tracks. Review scripts, pronunciation, acronyms, numbers and pauses, then listen to the published course. A machine-generated narration that reads the wrong unit or deadline can mislead learners even when the visible sentence is correct.
Do not confuse course localization with platform email localization
The official language guide explicitly says email-capture pages and verification emails managed by the platform remain in English even when the course loads in another language. This is an important learner expectation. If a learner must verify their email to proceed, an English-only step may be an accessibility or support barrier. Plan upstream instructions, a multilingual support note or a different approved delivery route where necessary. Do not promise an entirely translated experience without testing the platform-managed screens from the learner’s first contact to course completion.
SCORM output needs actual integration testing
A Coassemble help page says translations are included when the course is exported as a SCORM package. That does not remove the need to test the package within the destination LMS. Confirm how the LMS launches content, whether browser-language matching operates as expected in its window or iframe, how a returned learner resumes, and what completion and score records are stored. A learner may use one browser language on a desktop and another on a phone. Test that the course can be understood and completed without producing inconsistent records. Always verify the actual package and the relevant LMS version.
Assess the same competence in each language
A translated quiz should ask the learner to perform the same reasoning, with comparably plausible wrong answers, not merely present sentences that resemble the source. A negative, a time relationship or a conditional may shift the right choice. Have a fluent subject expert review the question and feedback as a unit. If an example depends on local culture, change the setting without reducing the difficulty or altering the decision. Store terminology decisions because they will recur in narration, images, help material and future course updates. A high-quality course is consistent in what it teaches, not necessarily identical in every surface detail.
Build accessibility and privacy into release
Test keyboard use, meaningful control names, alternatives for visual information, captions or narration controls, language metadata and content at narrow screen widths. Because Coassemble may generate translations and audio through services, review contractual and organizational data-handling policies before submitting sensitive material. Keep real learner data separate from translation examples where possible. Accessibility and confidentiality are not separate afterthoughts. They determine whether all intended learners can participate and whether the organization can responsibly operate its multilingual training. Document exceptions and assign owners rather than treating them as invisible limitations.
Maintain one accountable translation record
Keep a source revision, list of approved language children, dates of last sync, recorded image changes, narration generation, reviewer names and the evidence of successful learner testing. After a source update, identify affected text, images and quiz logic; re-sync and review the target versions under controlled conditions. A new translation should not silently overwrite a human-approved safety term or create a fresh narration with an unreviewed pronunciation. Make sign-off observable and repeatable. The aim is to let another course owner maintain the lessons without reconstructing undocumented decisions.
Worked example: translating food-allergy workplace training
Consider a hospitality company that trains new employees to recognize a food-allergy request. The source course has six screens, a visual of an ingredient label, two short practice questions, a decision scenario and a final knowledge check. The company needs French, Japanese and Arabic experiences for staff working in different locations. An inaccurate rendering of ‘contains’ or ‘may contain’ could reverse the safety instruction.
The team first verifies the source English content, approves a glossary and records the decision rules of the assessment. They add translations through the platform’s language workflow and review the generated text with fluent staff who understand the food-safety context. The original screen structure remains the common skeleton. Each language version can receive an appropriate localized image of the ingredient label and a matching accessible description. A text-only audit would miss that crucial visual.
Next the team reviews narration scripts before generating spoken output. The Japanese reviewer checks the spoken distinction between a warning and a confirmation; the Arabic reviewer examines the pronunciation of allergen names and the display of mixed-language product terms. Because translated narration may use an automatically selected voice and consumes an allowance, corrections are made before repeated regeneration. A reviewer listens to the actual final audio rather than judging the screen text alone.
Delivery is tested with browsers configured for French, Japanese, Arabic and an unsupported language. The first three should show available translations according to the documented browser-language rule; the unsupported configuration should use the chosen default. The team also checks the English-only platform-managed email capture or verification steps if they are part of the route. Support staff must know how those steps appear to learners who otherwise see translated lessons.
The course is exported to the destination LMS and opened with real staging learner accounts. Testers identify an allergen, reject a misleading label, understand feedback and finish the knowledge check. The LMS record must match the actual performance. The team logs which source revision and target-language content were approved. When the source later adds an ingredient-warning screen, every translation is synchronized and checked again before release.
Thirty practical Coassemble localization situations
1. Wrong browser language
Problem. An employee expects French but the browser preferences request English.
Response. Explain language matching and provide approved instructions for checking browser language settings.
Success criterion. The course loads the expected available edition in a reproducible test.
Reason. Personal language preference and browser configuration are not always the same.
Run this as a controlled learner test, not a translator-only comparison. Have the reviewer enter the target edition with the same task and note what they expect to happen next. Compare their reasoning with the source objective and ask whether the interface offers sufficient evidence. The resulting observation is more useful than a generic claim that the text looks natural.
2. Unsupported browser locale
Problem. A learner’s preferred language has no corresponding translation.
Response. Define the default language and plan clear support for missing locales.
Success criterion. An unsupported browser configuration falls back to the expected source.
Reason. Fallback must be intentional rather than mistaken for translation coverage.
Keep a record with the source revision, target language, screen and observed behavior. When the issue is corrected, retest the exact learner route rather than checking only the newly edited text. This catches unexpected effects in adjacent controls, narration or progress. A reproducible case protects the next release from bringing the same problem back.
3. Default language change
Problem. A manager promotes a translation without considering other users.
Response. Review default-language choice against audience distribution and support capacity.
Success criterion. Learners without a matching edition receive the documented intended default.
Reason. Default selection can change many learner journeys at once.
Separate a language problem from a platform setting. The words may be right while the browser chooses a different edition, the media points to an old resource or the LMS interprets completion unexpectedly. Inspect each layer in order: source content, translated child, publication and delivery. That sequence avoids rewriting text when the real defect lies elsewhere.
4. Source structure inherited
Problem. An editor wants a different sequence only in the Japanese child.
Response. Determine whether the requirement is translation or a separately designed course.
Success criterion. The released child remains structurally consistent with the approved parent.
Reason. The child is not meant to be an unrelated curriculum.
Use a subject expert and a linguistic reviewer for different questions. The subject expert decides what action, policy or fact the learner must understand. The language reviewer decides how to communicate that meaning naturally. Both should examine a real screen and its feedback, because a glossary alone cannot reveal the consequence of a button or a scoring choice.
5. Text source update
Problem. A policy sentence changes after target translations are approved.
Response. Record the changed source and use the supported synchronization process.
Success criterion. Target editions reflect reviewed current wording.
Reason. A coherent translation can be obsolete after a policy change.
Make accessibility part of the same review instead of a separate final checklist. Test the information without sound, without sight where feasible, and without precise mouse control. Verify alternatives for imagery and understandable feedback. If the task works only for a sighted reader using the source language, the translation is incomplete even when every visible sentence is fluent.
6. New screen added
Problem. A new knowledge-check screen appears in the source but not all targets.
Response. Sync the addition into each target and review questions, images and narration.
Success criterion. Every released language includes the required new learning step.
Reason. Structure changes require coordinated localization work.
Treat future maintenance as a quality criterion. An editor should know where the original content lives, which language children were updated and who approved their changed terms. Preserve screenshots and brief test instructions. When the source course changes, this record tells the next author what must be resynchronized and what human approvals cannot be skipped.
7. Screen removed
Problem. The original course removes outdated content while a target retains old explanations.
Response. Check the documented removal and sync behavior, then inspect every target.
Success criterion. No stale screen remains accessible in a released language.
Reason. Learners should not see withdrawn safety advice.
Run this as a controlled learner test, not a translator-only comparison. Have the reviewer enter the target edition with the same task and note what they expect to happen next. Compare their reasoning with the source objective and ask whether the interface offers sufficient evidence. The resulting observation is more useful than a generic claim that the text looks natural.
8. Auto translation ambiguity
Problem. A generated term is fluent but wrong for the teaching context.
Response. Provide a subject-specific glossary and ask a qualified reviewer to correct it.
Success criterion. The target term produces the same intended action.
Reason. Automatic language generation is a proposal, not an approval.
Keep a record with the source revision, target language, screen and observed behavior. When the issue is corrected, retest the exact learner route rather than checking only the newly edited text. This catches unexpected effects in adjacent controls, narration or progress. A reproducible case protects the next release from bringing the same problem back.
9. Quiz negative reversed
Problem. A question asks what must not happen but the target loses the negative.
Response. Review the entire question, choices and feedback as an assessed task.
Success criterion. The same reasoning leads to the intended correct response.
Reason. Question validity matters more than word-for-word resemblance.
Separate a language problem from a platform setting. The words may be right while the browser chooses a different edition, the media points to an old resource or the LMS interprets completion unexpectedly. Inspect each layer in order: source content, translated child, publication and delivery. That sequence avoids rewriting text when the real defect lies elsewhere.
10. Distractor becomes plausible
Problem. A wrong answer is defensible under local workplace practice.
Response. Have a regional subject expert adjust the distractor without changing the skill.
Success criterion. The correct option remains uniquely justified.
Reason. Equivalent assessment difficulty requires deliberate judgment.
Use a subject expert and a linguistic reviewer for different questions. The subject expert decides what action, policy or fact the learner must understand. The language reviewer decides how to communicate that meaning naturally. Both should examine a real screen and its feedback, because a glossary alone cannot reveal the consequence of a button or a scoring choice.
11. Incorrect feedback tone
Problem. Generated feedback sounds accusatory rather than instructional.
Response. Edit feedback to explain the mistake and the next action clearly.
Success criterion. Learners understand how to improve after an incorrect choice.
Reason. Respectful remediation supports actual learning.
Make accessibility part of the same review instead of a separate final checklist. Test the information without sound, without sight where feasible, and without precise mouse control. Verify alternatives for imagery and understandable feedback. If the task works only for a sighted reader using the source language, the translation is incomplete even when every visible sentence is fluent.
12. Image with embedded English
Problem. The lesson text is translated but a diagram still shows English labels.
Response. Use the platform’s per-language image customization and review alternative text.
Success criterion. Visual wording matches the language of the surrounding screen.
Reason. Image localization may require separate creative work.
Treat future maintenance as a quality criterion. An editor should know where the original content lives, which language children were updated and who approved their changed terms. Preserve screenshots and brief test instructions. When the source course changes, this record tells the next author what must be resynchronized and what human approvals cannot be skipped.
13. Culturally unsuitable illustration
Problem. A workplace photo communicates a different safety norm in the target region.
Response. Replace the image while preserving the same learning evidence and objective.
Success criterion. Regional reviewers recognize the intended safe behavior.
Reason. Cultural adaptation should preserve competence, not stereotype learners.
Run this as a controlled learner test, not a translator-only comparison. Have the reviewer enter the target edition with the same task and note what they expect to happen next. Compare their reasoning with the source objective and ask whether the interface offers sufficient evidence. The resulting observation is more useful than a generic claim that the text looks natural.
14. Alternative description missing
Problem. A translated graphic has no usable description for a screen reader.
Response. Write a concise target-language description of relevant information.
Success criterion. A nonvisual learner understands the same critical fact.
Reason. Accessibility depends on information, not just a visible image.
Keep a record with the source revision, target language, screen and observed behavior. When the issue is corrected, retest the exact learner route rather than checking only the newly edited text. This catches unexpected effects in adjacent controls, narration or progress. A reproducible case protects the next release from bringing the same problem back.
15. Narration pronunciation
Problem. A generated voice mispronounces an allergen or equipment name.
Response. Review the spoken script and identify supported corrections before regenerating.
Success criterion. A fluent reviewer hears the intended technical term.
Reason. Audio accuracy has independent safety consequences.
Separate a language problem from a platform setting. The words may be right while the browser chooses a different edition, the media points to an old resource or the LMS interprets completion unexpectedly. Inspect each layer in order: source content, translated child, publication and delivery. That sequence avoids rewriting text when the real defect lies elsewhere.
16. Narration quota
Problem. The team regenerates every language after each small edit.
Response. Finalize reviewed scripts and plan the narration allowance before publishing.
Success criterion. Required audio exists without unnecessary repeated generation.
Reason. Operational cost is part of sustainable localization planning.
Use a subject expert and a linguistic reviewer for different questions. The subject expert decides what action, policy or fact the learner must understand. The language reviewer decides how to communicate that meaning naturally. Both should examine a real screen and its feedback, because a glossary alone cannot reveal the consequence of a button or a scoring choice.
17. Translated voice selection
Problem. The author expects to choose a voice in each translated child.
Response. Check the documented automatic target voice behavior and current settings.
Success criterion. The final narration is acceptable in pronunciation and pacing.
Reason. The default language and translated languages may offer different controls.
Make accessibility part of the same review instead of a separate final checklist. Test the information without sound, without sight where feasible, and without precise mouse control. Verify alternatives for imagery and understandable feedback. If the task works only for a sighted reader using the source language, the translation is incomplete even when every visible sentence is fluent.
18. Narration timing
Problem. Translated speech is longer than the time needed to move to the next screen.
Response. Test audio playback, pause, resume and any enforced-listening behavior.
Success criterion. Learners can hear the complete instruction before continuing.
Reason. Audio must align with the lesson’s intended sequence.
Treat future maintenance as a quality criterion. An editor should know where the original content lives, which language children were updated and who approved their changed terms. Preserve screenshots and brief test instructions. When the source course changes, this record tells the next author what must be resynchronized and what human approvals cannot be skipped.
19. English email capture
Problem. The course is localized but the platform-managed capture screen remains English.
Response. Disclose the documented limitation and provide appropriate learner support.
Success criterion. Users can navigate the entry process without false language expectations.
Reason. Platform surfaces outside the course are still part of the journey.
Run this as a controlled learner test, not a translator-only comparison. Have the reviewer enter the target edition with the same task and note what they expect to happen next. Compare their reasoning with the source objective and ask whether the interface offers sufficient evidence. The resulting observation is more useful than a generic claim that the text looks natural.
20. English verification email
Problem. A learner misses an English verification instruction.
Response. Prepare an upstream multilingual explanation where appropriate and test the email route.
Success criterion. Learners can complete verification safely and understand why it is needed.
Reason. An English-only operational step can block an otherwise translated course.
Keep a record with the source revision, target language, screen and observed behavior. When the issue is corrected, retest the exact learner route rather than checking only the newly edited text. This catches unexpected effects in adjacent controls, narration or progress. A reproducible case protects the next release from bringing the same problem back.
21. Browser locale variant
Problem. A French-Canada browser preference behaves differently from a generic French setting.
Response. Test exact locale matching and fallback in the delivered product.
Success criterion. Each supported browser configuration produces the expected content.
Reason. Language tags and regional variants require concrete tests.
Separate a language problem from a platform setting. The words may be right while the browser chooses a different edition, the media points to an old resource or the LMS interprets completion unexpectedly. Inspect each layer in order: source content, translated child, publication and delivery. That sequence avoids rewriting text when the real defect lies elsewhere.
22. SCORM launch context
Problem. An LMS embeds the course within a window that affects language or sizing.
Response. Test the exported multilingual package in the actual destination environment.
Success criterion. The correct edition loads with readable responsive layout.
Reason. Authoring preview does not represent every LMS launch behavior.
Use a subject expert and a linguistic reviewer for different questions. The subject expert decides what action, policy or fact the learner must understand. The language reviewer decides how to communicate that meaning naturally. Both should examine a real screen and its feedback, because a glossary alone cannot reveal the consequence of a button or a scoring choice.
23. Course resumption
Problem. A learner returns on a device with a different browser-language preference.
Response. Define acceptable resumption behavior and test saved course progress.
Success criterion. Learning remains coherent and recorded accurately after return.
Reason. A language shift can expose confusing state even if text is correct.
Make accessibility part of the same review instead of a separate final checklist. Test the information without sound, without sight where feasible, and without precise mouse control. Verify alternatives for imagery and understandable feedback. If the task works only for a sighted reader using the source language, the translation is incomplete even when every visible sentence is fluent.
24. Completion records
Problem. A visible success page does not create the expected LMS completion.
Response. Run correct and incorrect paths with staging learner accounts.
Success criterion. Scores, attempts and completion match the stated training rule.
Reason. The real achievement record is operational evidence.
Treat future maintenance as a quality criterion. An editor should know where the original content lives, which language children were updated and who approved their changed terms. Preserve screenshots and brief test instructions. When the source course changes, this record tells the next author what must be resynchronized and what human approvals cannot be skipped.
25. Support document mismatch
Problem. A localized course links to an English-only or outdated handout.
Response. Maintain a locale-aware list of linked files and their owners.
Success criterion. The referenced document supports the promised learning experience.
Reason. Resources outside the course influence the learner’s real decision.
Run this as a controlled learner test, not a translator-only comparison. Have the reviewer enter the target edition with the same task and note what they expect to happen next. Compare their reasoning with the source objective and ask whether the interface offers sufficient evidence. The resulting observation is more useful than a generic claim that the text looks natural.
26. Accessibility control label
Problem. A button’s visible translation differs from its accessible announcement.
Response. Test keyboard navigation and screen-reader labels in target editions.
Success criterion. Controls announce the intended action.
Reason. Translated visible words do not guarantee an accessible interface.
Keep a record with the source revision, target language, screen and observed behavior. When the issue is corrected, retest the exact learner route rather than checking only the newly edited text. This catches unexpected effects in adjacent controls, narration or progress. A reproducible case protects the next release from bringing the same problem back.
27. Right-to-left script
Problem. Arabic text is readable but a directional image or layout confuses progression.
Response. Review arrows, punctuation, reading order and mixed-script tokens with fluent testers.
Success criterion. The learner can follow the intended sequence.
Reason. Directionality is about meaning as well as alignment.
Separate a language problem from a platform setting. The words may be right while the browser chooses a different edition, the media points to an old resource or the LMS interprets completion unexpectedly. Inspect each layer in order: source content, translated child, publication and delivery. That sequence avoids rewriting text when the real defect lies elsewhere.
28. Translation data privacy
Problem. A course contains real employee incidents or personal information.
Response. Replace unnecessary personal details and use authorized processing arrangements.
Success criterion. Only appropriate material enters translation and narration services.
Reason. Content governance must accompany language production.
Use a subject expert and a linguistic reviewer for different questions. The subject expert decides what action, policy or fact the learner must understand. The language reviewer decides how to communicate that meaning naturally. Both should examine a real screen and its feedback, because a glossary alone cannot reveal the consequence of a button or a scoring choice.
29. Review ticket without context
Problem. A reviewer says a translation feels wrong but cannot identify the screen.
Response. Record locale, source revision, screen, screenshot, expected meaning and severity.
Success criterion. A second reviewer can reproduce the issue and verify its correction.
Reason. Evidence makes language improvement repeatable.
Make accessibility part of the same review instead of a separate final checklist. Test the information without sound, without sight where feasible, and without precise mouse control. Verify alternatives for imagery and understandable feedback. If the task works only for a sighted reader using the source language, the translation is incomplete even when every visible sentence is fluent.
30. Sync after correction
Problem. A source wording change fixes English but overwrites a carefully reviewed target term.
Response. Review the language child after synchronization and retain approved terminology decisions.
Success criterion. The revised target remains accurate and no high-risk term regresses.
Reason. Automatic synchronization is not equivalent to linguistic approval.
Treat future maintenance as a quality criterion. An editor should know where the original content lives, which language children were updated and who approved their changed terms. Preserve screenshots and brief test instructions. When the source course changes, this record tells the next author what must be resynchronized and what human approvals cannot be skipped.
Four-week multilingual course plan
Week 1 — Source course and language coverage
Review the default course as a learner, including correct and incorrect quiz paths. Record its objectives, structural screens, images, narration and delivery conditions. Select target languages and the intended default, identify unsupported learner groups and prepare an approved glossary. Test the Languages workflow with one small sample before committing to a large rollout. Assign a named language reviewer and an LMS testing owner.
Week 2 — Generate and edit translations
Add target languages through the supported workflow. Review generated titles, screen text, questions, answer choices and feedback with subject experts. Replace language-dependent images and inspect accessibility descriptions. If audio is needed, review narration scripts before publication and plan the character allowance. Keep a record of corrected high-risk words and decisions. Verify that inherited structure remains the intended common learning pathway.
Week 3 — Device and language testing
Open the course in browsers configured for each supported language and one unsupported language to confirm default fallback. Test visual layout, keyboard controls, narration, captions, special characters and course resumption. Include the platform-managed email-capture or verification route where relevant, noting that those messages may remain English. Perform failed and successful knowledge checks and ensure reviewers can explain the same rule from the target-language content.
Week 4 — Publish, verify and maintain
Publish target-language content and narration after corrections are approved. Test SCORM export and delivery in the intended LMS if used, recording completion and score outcomes. Store source revision, language-child sync status, images, review notes and final files. Define how future source edits will trigger synchronization, renewed translation review and audio regeneration. Release only languages that meet the stated content, accessibility and tracking requirements.
Frequently asked questions
Does Coassemble let learners choose a course language?
Its documented language experience chooses an available translation from the browser’s language settings, with fallback to the default; it does not provide an in-course learner picker in that workflow.
Can translated courses have different structures?
The official guide says language children share the default course structure. Text and images can be localized, but structural changes belong to the source course.
Can images be translated or replaced?
Yes. Coassemble documents per-language image customization alongside translated text. Review graphics and alternative descriptions.
What happens when the source changes?
Translations require review and synchronization after source changes. Do not assume a translated child immediately reflects a new approved source instruction.
Can translations have narrated audio?
The documentation describes narration generation at publication with translations included. Review scripts and allowance before generating.
Can I choose the voice for a translated language?
The published language guide says translated narration voices are chosen automatically in the described workflow, unlike choices for the default course.
What happens with an unsupported browser language?
The course falls back to the selected default language. Test the exact browser configurations your learners use.
Are verification emails translated?
The official guide says platform-managed email capture and verification messages remain in English even when course content is localized.
Do SCORM exports include translations?
A Coassemble help article says translations are included with SCORM export. Validate behavior and progress in the destination LMS.
How do we maintain the content long term?
Keep a source-to-language register with sync dates, media changes, approved terminology, narration and test results.
Official references and connected education translation
See Coassemble’s Languages and Translations guide, its language-authoring and SCORM guidance, its narration documentation, and the Coassemble for Moodle explanation for one delivery scenario. Check current settings and plan-dependent features in your workspace. For contrast, read Translate Like a Pro 4230 — Articulate Rise 360 and Translate Like a Pro 4320 — Evolve Authoring. The broader subject is treated in Master Art of Translation — Education and Learning Systems.
A translated course should be evaluated as a learner experience, not a language file. Preserve the shared learning structure, review what each locale teaches, and prove that browser selection, narration and completion work in the real delivery environment.