Prerequisites Administrator access to the Rise Up platform.
If no skill is associated with a course, the system will automatically perform skill matching based on your skills framework or the ESCO taxonomy.
Key benefits:
- Time savings and personalisation: Adaptive learning technology automatically generates your pathways according to the learner’s level, thanks to an initial positioning test that identifies the skills to develop. At the end of the pathway, a final positioning test assesses progress and skills development. Only relevant courses are proposed, adapting to the different profiles of your learners.
- Configuration automation: Fast pathway generation, automatic matching of skills and questions.
- Detailed reports: Visualisation of progress, time saved, and skills acquired.
Create an Adaptive Learning Path
The Adaptive Learning Path enables each learner to benefit from personalised learning based on placement tests, along with the detection of skills to strengthen. Once the scope is validated, the adaptive learning technology automatically suggests suitable courses and saves you management time on your training programmes.
- Access Learning Path creation: From your administrator interface, choose “Create a Learning Path” and select the Adaptive type. Follow the steps below to guide you through configuring your Adaptive Learning Path in just a few clicks.
Statistics Management for Administrators
The ‘View’ menu of your Pathways centralises all management and tracking features for your personalised pathways. From here, you can access an overview of your learners, assign Learning Paths, and use interactive dashboards to manage progress, engagement, and skills acquired. To explore statistics for your Adaptive Learning Path, simply follow the steps in the tutorial below.
Learner Adaptive Learning Steps
Before you start
- An Adaptive Learning Path must have been assigned to you by an administrator.
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You can identify the Adaptive Learning Path thanks to the home widget dedicated to placement tests.
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Access the positioning test
From the home page, use the home widget to launch your test (highlighted in the “To do” section). You can also go via My learning > Learning Paths.
Positionning tests: Each learner starts with an adaptive test (CAT) to measure their initial level. The system then recommends the optimal pathway. A final test is offered to measure progress. Redirection and automatic opening
When you start from the widget, you are redirected to My learning > Learning Paths and your test opens automatically. Remember you can use the filters in your left-hand menu to easily find your adaptive learning paths that are not started or in progress. -
Complete the adaptive test (CAT)
Answer the questions in the positioning test. The test adapts to your level to assess your initial skills. -
Automatic learning path generation
At the end of the test, your Adaptive Learning Path is generated automatically: only the relevant courses are kept and some courses may be skipped if already mastered. -
Explore your adaptive learning path
On the Learning Path page, view your progress, the skills to acquire, and, where applicable, the time saved on your revision thanks to adaptive learning. -
Start the recommended courses
Launch the first recommended course. Non-required modules can be omitted depending on your profile. -
Pick up where you left off
A notification dot appears in My learning when an action is required (test or memorisation pending). Pending positioning tests are also highlighted on your home page. -
Final assessment
A final test may be offered to measure your progress; the results highlight the skills acquired.
Useful notes:
If you do not see your test or learning path, check that it has been
assigned to you or contact the staff in charge of your
training.
Classic vs Adaptive Pathways
On your platform, 2 types of Learning Paths are available: classic or adaptive. The classic learning path offers a linear route where all modules must be completed, regardless of the learner’s level. The adaptive learning path relies on a placement test and skills analysis: it automatically adjusts the content, keeping only the relevant modules, allowing each learner to save time and focus on what matters most.
Comparison: Classic Pathway vs Adaptive Pathway
| Feature | Classic | Adaptive |
|---|---|---|
| Pathway structure |
Linear All content followed |
Individualised Ability to skip courses |
| Assessment | Included within a composing course | Initial & final adaptive test |
| Skills management | Manual | Manual or auto-matching |
| Question management | Manual | Automated |
| Translation | Yes from Q3 | Yes from Q3 |
| Maximum limits | No limit |
10 courses, 10 skills per course |
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Issue: The pathway
does not appear.
Solution: Check that all skills are correctly associated and that generation has been validated.
Issue: My skills are not associated automatically.
Solution: If skills are already associated with your courses, no action is required. Otherwise, the system will try to associate up to 3 relevant skills from your framework. If no skill is found, it will use the ESCO taxonomy based on the course content.
Issue: Does AI take PDFs, PowerPoints, or other documents into account during adaptive assessments?
Solution: Yes. When creating the initial and final assessments in an adaptive pathway, the AI analyses the full content of each course, including attached documents (PDF, PowerPoint, etc.) and all pathway steps. Note: some step types are not yet supported but will be added progressively. From Q3, manual context for SCORM steps will be integrated, and other step types (sessions, external content) will follow shortly.
Issue: How does the system choose which courses and skills to suggest?
Solution: The system calculates weightings for each course, skill, and question to personalise the adaptive pathway. This adjusts the difficulty and relevance of content according to your profile.
Issue: Questions not personalised.
Solution: Manual question personalisation will be available from Q4.
Issue: Not available on mobile.
Solution: Mobile experience planned for Q3.
Issue: What is the CAT test?
Solution: Computerised Adaptive Testing (CAT) is a form of computer-based assessment that adapts question difficulty in real time to the examinee’s level. Also called a tailored test, CAT selects the next question (or set of questions) based on whether the candidate answered previous questions correctly or not. This system enables a more precise and efficient evaluation of a learner’s actual level, providing a personalised testing experience.
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Can I modify the pathway after it has been generated?
- No, a new placement test must be launched to regenerate the pathway.
Can I translate an adaptive pathway?
- Yes, but only from Q3. Multilingual management will also be supported for the classic pathway.
Is there a minimum number of questions per skill in the question bank required to prevent the AI from generating additional questions?
- No, there is no link with the question bank. We reuse questions created within a training (Quiz / Memorisation).
If a skill has multiple questions, is there a maximum limit of questions that the AI can use for that skill?
- This question relates to the positioning test. Our CAT (Computer Adaptive Testing) implementation will use 5 to 10 questions per skill to assess the learner’s level. The number of questions depends on how consistent the learner is on that skill. The questions used are taken from the various courses that contain that skill within the adaptive learning path.
Does the AI generate questions only when the question bank is insufficient, or are there other conditions that trigger AI question generation?
- The only case when generation does not happen is if it has already been done.
To clarify the process: we generate questions for each skill-training link. The purpose of these questions is to assess whether the learner has mastered the skill in the context of the training. This is why we do not use generic question bank questions for a skill – we want questions that are tightly linked to the training itself.
What does “average time saved” mean in adaptive learning paths?
- The average time saved refers to the time a learner does not need to spend on certain courses thanks to the personalisation of their learning path. Specifically, it is the sum of the durations of the courses that have been set aside. For example, if, after the positioning test, a skill is recognised as mastered, the course linked to that skill will not be recommended to the learner. The duration of that course will therefore be counted as time saved, since the learner did not need to complete it. -
For further assistance, submit a request:
Rise Up support request
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