Developing Adaptive Learning in Storyline
Continuing with the topic of Adaptive Learning, we now know that the one-size-fits-all approach to developing eLearning courses is not the best approach, because learners are unique and all have different skills, knowledge and experiences, especially when it comes to topics like Leadership or sales.
We also now know that Adaptive Learning helps us shape the learning paths and experiences according to their skills, by analyzing their performance in different activities.
However, how do we translate this concept from theory to practice, using an authoring tool such as Articulate Storyline?
Here is what we would need:
As stated in my previous blog post, we would need to initially identify or map, the different branches and specific content that would work as the different paths the learners can take as they go through the module.
An introductory section: On this section, we would introduce the topic and assess the learner’s current understanding of the topic. To do so, we would need a series of questions or activities, and these activities would have, for example, three degrees of difficulty: beginner, intermediate and expert (all this unbeknown to the user).
Then we would collect the data on the different interactions of the learner throughout the introductory section of the course. For this, we would need to quantify these interactions, either by a level of success or simply weighing the learner’s answers.
Then, once we finish gathering all this data, we can decide (depending on the level of success the learner had) where the learner should go next. For this, we should have previously identified the ranges of success, for example, for beginners the range would be from 0 to 30, for intermediates from 31 to 75, and for experts from 76 to 100. So, in this case, the learner would continue to the specific level mandated by their initial success.
