Adaptive elearning is getting hot in education domain. Knewton and Smart Sparrow are some of the many companies riding on this wave and are attracting good funding and growth. For the uninitiated – adaptive elearning is adapting the learning material as per learner’s progress and needs. Which in plain English translates into dynamic learning paths as per learner’s progress, presenting content in instructional format which is most suitable for the learner, and providing feedback to the learner while he/she is navigating through the course basis her navigation patterns and assessment scores etc.
Business case or the pitch in education domain is – adaptive learning helps increase completion rates for students, which means lesser dropouts, which means higher revenues for educational institutes. When the content is consumed in digital format by the student, it also helps the publishers as the revenue becomes recurring – as unlike books, login to portal can’t be bought second hand or can’t be photocopied. With all the data that gets collated on the learning platform, it becomes difficult for any institute to move to a new platform – so there is a strong tie-in once the customer is in. So it’s a win-win all the way – for technology provider, educational institute, content provider, and the student as well.
Since we at G-Cube primarily work in corporate learning domain, I would like to evaluate applicability of adaptive learning in the same domain.
Now, eLearning completion rate is The Biggest problem in corporate space as well. Learners do complete courses which are mandatory but not out of choice. So, a solution which promises higher completion rates and that too voluntarily at learner level would definitely arouse L&D Head’s interest. So what does it take to create an adaptive elearning system? At very broad level, it requires the following –
Thus, it becomes very important to create a good map, where each user action/response can be mapped to their knowledge level of a particular concept or topic. So, if I chose a particular option in a question, system should be able to figure out the related concepts/topics involved in that question and basis my response, my level of understanding of the mapped concept/topic.
This calls for not only a deep understanding of the subject, but also requires content creators to have good teaching experience, because only then will someone be able to tell that if a user chose a particular answer than what gap in knowledge may have prompted the user to make that choice. Just SME’s may not be a good choice to author content for such systems, as they are certainly experts in their chosen domain, but they in most cases would not understand learner’s perspective or relate to learner’s knowledge levels.
All this presents some interesting opportunities and challenges from corporate training perspective –
Adaptive elearning has shown some very encouraging results in education space. It should be interesting to see how OTS providers treat this opportunity in corporate training space. We have some ideas of our own in G-Cube, and are investing some money on R&D in this space. Will keep the readers updated as we see some results on the same.To know more about adaptive elearning fill the form below: