Adaptive Learning-The new Phase of Education
Young honors course students learning robotics with teacher and humanoid bipedal robot. Flat style vector illustration isolated on green background.

A recent commercial of a preschool showed that they have a unique curriculum for each child because each student is unique and has a different level of understanding. Quite thoughtful isn’t it. Whether it is a school, college or professional training institute, students in India have always been exposed to a generalised curriculum. The “one-size-fits-all” approach to education was a convenient model, and the lack of teaching resources in India was also a reason why it was so prevalent. But, times are changing.

The advent of new technology and changed outlook in the industry, now educational institutions are warming up to personalised learning. How will personalised learning be made possible?  AI is the power that can make personalised learning possible. In technical jargon, it is also called Adaptive learning. The process of Adaptive Learning involves matching individual learning needs to the teaching methodology to offer a bespoke training curriculum. This would facilitate a stress-free, meaningful and a more engaging learning environment.

The advantages of Adaptive Learning are:

Wide Applications

AI-based learning or Adaptive Learning is not just limited to the formal education sector but also in corporate training. By matching the employee needs to the subject of the curriculum, a better training session can be designed to improve productivity, leadership and time management skills. Not just soft skills training, Adaptive Learning can also be leveraged in employee reskilling programmes. Re-skilling or Up-skilling is a process wherein existing employees are training on new skills that can help them to perform their jobs better or open a completely new avenue for them. However, up-skilling or re-skilling works best only when the comfort level of the employee with the skill or his/her interest is known beforehand.

Training a Recruitment professional for SAP would make no sense. Instead, he/she will be more benefitted if trained on HR Analytics or advanced Recruitment software.  Adaptive learning helps to recognise the primary skill set of each employee and suggest the best skill set that he must be trained on. Not just that, the AI-enabled Adaptive Learning also designs the pace at which the re-skilling must happen so as to reap maximum benefits. Adaptive Learning can also use psychomotor domain training by involving real-life scenarios with the help of simulations.

Prompt assessment

By quick feedback, it will be far easier to group the students in categories of their performance. This way they can take extra guidance and improve their level of understanding and performance at their own pace. The examination and the grading process can be automated by AI and this can be used by students to test themselves when they are prepared for it. Students can explore topics in depth and pace the examinations according to their preparation on each topic or lesson. Instead of waiting for the entire batch to finish the topic, each student can appear for the examination at his/her pace.

The evolving role of Teacher

The role of the teacher in Adaptive learning may change, but one thing is sure to change, that is, there will always be the need for a teacher in education. Teachers can leverage the use of Artificial Intelligence in searching the best resources for them or setting up the process for examination and grading. This way teachers can assign mechanical work to the AI and devote more time to students who are weak in certain aspects. AI will not replace teachers altogether but support them in their work.

Engaging content

Classroom learning style is more traditional and it focusses more on knowledge disbursal. On the other hand, adaptive learning focusses more on knowledge retention as they offer more engaging content. This kind of content includes training in short-snippets, high-quality entertaining videos, gamified quizzes etc. This helps students to apply the training into real-world scenarios. The AI tools make learning fun and interactive, which adds new meaning to teaching.

AI-Backed Adaptive Learning is the key for future

We can safely say, in future, AI-based learning will be the most prevalent trend. To achieve maximum productivity and efficiency in learning and development, there are many new facets that must be added to it. By entrusting the delivery of core knowledge to Artificial Intelligence, we can delegate more meaningful work to our teachers. Hence, customised learning will create an environment that will foster more participation from teachers and students. Artificial-Intelligence backed Adaptive learning will not replace professionals but will improve the education process.