IntellAdapt remains committed to education since 2014. From day one, we have strived to shut down the idea that “one size fits all” when it comes to education by introducing new adaptive methods of online learning.
We strive to find the right fit for every student. Each student has an individual learning strategy based on their own cognitive development, whether they are aware of it or not. Oftentimes, web-based learning relies on the student’s ability to retain masses of information, sometimes too much information to process or retain. A major focus at IntellAdapt is providing online courses that adapt to the student’s individuality. This way, students are not just fed information, but trained to understand how they learn with the right strategy and pace.
One of our unique methods to identify the right strategy and enhance the learning experience is our Brainwave Adaptive Learning™ enabled with an EEG headband and Brainiak™ Analytics AI. Backed by research and easy to use, the student simply wears the EEG headband and takes a diagnostic test via our Brainiak™ mobile App. The brainwave analytics from the headband then determines the best learning strategy for that student.
We also have LAVA or Learning with Adaptive Video Assessment. LAVA is different from the typical educational video, as it is immersive with podcasts and in-depth text and accessible on all digital devices. LAVA also allows you to create your own adaptive assessments and custom courses to cater to all types of learners, from students to professionals.
Along with this, we have over eleven online adaptive courses, as well as AP courses to help students. We cater to five schools and colleges so far and have benefited thousands of students, by allowing educators to reach higher completion rates and enhance the learning experience. We strive to continue to grow and to keep our commitment to break the barriers of “one size fits all” education styles and help every individual learner find and thrive with their perfect learning strategy.
Do you know your learning strategy?