If it is possible for a buyer to choose the color and model of the latest release of fashion sneakers, in a way that best suits their taste and personality, why can’t a student choose what, when and how she acquires new knowledge or ability based on her needs and preferences? And why not go further and have a system that also recommends activities and contents that best suit the way I learn?
We are accustomed to a classic model of learning in which the instructor schedules class content and all the students receive the same lesson at the same time. If someone is lost during the explanation, this person is left behind, a casualty of knowledge transferred in a linear way for all students.
As the class schedule progresses, the classical methodology of learning can leave students feeling unsatisfied with the training. We have those who are more behind than those who feel lost when facing concepts that they do not understand because they did not acquire some prior knowledge correctly. Also, the class has to keep reviewing pages of the material to be able to catch up on something they should have acquired in class. On the other hand, we have more advanced students who already brought the knowledge from their experience or previous education and who need to go faster and they cannot in the linear order of the class.
In short, we have users who are not happy with the learning experience, who think that it has not been worthwhile and that it has been a waste of money and time.
Before we had no viable and efficient means to avoid this because the training was oriented to be taught in the block. But this has been overcome by the new technologies, online training, and artificial intelligence algorithms. They provide intelligent training systems that allow me to create personalized training for the user that adapts to the needs of our clients.
We get adaptive learning that is responsible for searching the contents and format (video, text, image) suitable for each student; matching the concepts to the content, and adjusting the course schedule based on content and student performance.
As advantages for the student, he gets a personalized program that takes into account the variables that come into play in his training, previous knowledge, his results in training, ways of learning, concepts developed, type of content, communication systems, etc.
Analyzing and classifying students for his/her needs and preferences will establish the sequence of learning more effectively to achieve their training.
An example could be, first performing a leveling test to see which concepts students have mastered; based on their knowledge gaps, eLearning sessions will be accompanied by a webinar with questions and answers. Then, the participant will spend another session of verification of acquired knowledge and more eLearning sessions to finish in a classroom with instructors who will convey their experience and verify that participants have mastered the area.
We went from a training focusing on the instructor to a space marked by the student. During the development of the adaptive learning, the student can skip content that she already knows, get recommendations to return to concepts that she did not grasp correctly and in the end acquire all the necessary concepts.
In this process, the instructor takes on the role of a facilitator who mentors, manages and elicits the commitment from students to overcome the training. The instructors define what is going to be taught and students and the technology system agree on how and when to carry it out.
One of the key points of this system is that it stimulates the student since it makes him/her participate in the co-creation of their learning experience. the student perceives that the training is designed based on his/her needs and that it matches what he expected and wanted.
This system of learning matches up very well with the concept of SOUL, understood as a free and open learning space, not confined to the four walls of a classroom and in which the figure of the student is at the center of this universe of learning. That is why we have experts who are designing learning patterns of the different types of students and developing the adaptive technology that marks the path of more efficient learning for each student. For example, with SOUL, we adapt to the new realities that our users are already demanding.