The objective of the adaptive mode AI recommender engine is to dynamically suggest the next learning unit for students to engage with, based on their performance. By adapting the learning route to the individual capabilities and needs of students, this system aims to enhance learning outcomes and maintain engagement throughout the examination process.
Selecting adaptive route settings
Prepare to set up the learning route.
Go to Teachers/Learning routes menu, and select the desired group in the “Learning routes in Group” dropdown box:
Open the setting panel of the desired learning route.
Go to “Adaptive mode”.
Open the “Playback mode of learning route” dropdown box and select “AI adaptive”.
In this mode, you can instruct the recommender engine on the difficulty level of the intended adaptive route by choosing between the “AI adaptive mode” settings.
First, decide if you want to apply the settings for the whole route, or you want different settings for each block in the route. If you are not an experienced user, we recommend selecting “Full route”. If you select “Per block”, you will have to define an adaptive mode separately for each block.
Now, it is time to select the way the Assistant will guide your students in the adaptive route.
There are 5 such settings, each of them represents an easier/more difficult climb for the students.
- The Flow (Default)
- Steady Way to the Top
- Slow Motion
- Jumping Jack
- Challenge Road
If you are a beginner, we suggest you select “The Flow”.
Below you find the characteristics of each setting:
- Steady Way to the Top
The students will jump easily, and they will rarely fall. - Use it if you want your students to climb fast. - Slow Motion
The students will have to solve 2 units on a level to jump a level up, but they will rarely fall - Use it if you want your students to practice more on each level, without falling often. - The Flow (Default)
This is a well predictable mode. The students will climb relatively fast, if they complete a task at the first attempt, they will stay on level if they fail to solve the main task, but can solve the repetition of the main task, and they will fall a level down, if they fail to solve the repetition too. - Use this if you want to reward your students by continuing on the same level if they solve a task on the second attempt. - Jumping Jack
This is a route where user can fall easily, but she can get back after a correct answer, so climbing is also relatively easy. - Use this if you want your students to frequently jump and fall. - Challenge Road
This is a setting for routes hard to climb. Users have to work their way to get one level up, while they can fall relatively easily. Use this for motivating fierce fighters.
Additional options
If you don’t want the Assistant to set the routes for you, you can also choose “Custom” setting and set the conditions for jumping/falling levels manually.
If you choose “Linear” setting, the route will behave like a linear route. No jump, no fall.
Why do we have this setting here in the Adaptive section? Because you can apply different settings to each block of your route, and you might want one or several of them to be linear. For example, you might have a block in the beginning of the route with theoretical introduction you want all users to get through it and only start the adaptive exercises afterwards.
Experimental setting
As you may have noticed, there is an “Experimental” setting in the “Playback mode” box.
This is a setting to fully unleash the AI: there are no constraints for the assistant on how to guide the users, it will only rely on the student’s performance and the comparison to other students.
We recommend this setting to experiment with for those who like adventures.