We are currently in the midst of a global EdTech revolution, one that is changing the way knowledge is being shared, delivered and imparted.
Institutes across the world are turning to smart technology and digital tools, to make their curriculums and courses more accessible and beneficial to a diaspora of students.
According to a report by EBEF, the revenues of the Indian EdTech industry is likely to grow up to US$ 4 billion by 2025 at a CAGR of 39.77%
The question arises – what does 2023 look like for EdTech? And, more importantly, which student-centric trends will continue to dominate the future of learning?
Our latest blog in the Camu-EdTech-Trends series takes a closer and deeper look at one such buzzword – ‘Hyper-personalisation’.
Unpacking TheHype Behind Hyper-personalisation
In order to understand the role of personalization in learning, we must first accept that each learner is different, unique, and one-of-a-kind.
Therefore, a one-size-fits-all approach never helps your students in achieving their learning objectives.
When curating a teaching plan, academics must take into account the various skill levels, learning styles, special needs, and personal preferences.
Hyper-personalization, to this end, is a learning model that tailors the learning experience to suit each and every student based on his/her psychometric profile i.e., knowledge, abilities, skills and personality traits.
The advent of technology in classrooms makes it easier for educators to be student-centric and adapt lessons to suit a particular individual.
Artificial Intelligence (AI) and Machine Learning (ML) have been instrumental in creating learning experiences that identify individual areas of improvement and strengths.
Instructors are able to design targeted lesson plans, assignments and course content, based on the assessed knowledge gaps for smaller groups of students or even one particular student.
And as student expectations continue to grow and evolve, institutes are working towards creating, implementing and measuring personalized learning modules.
Those who can incorporate hyper-personalization into their curriculums will be rewarded with increased student engagement, performance, productivity, and outcomes, which will lead to an increase in enrollments.
Peeling Off The Layers Of Personalised Learning
Personalized learning is all about empowering the student to learn at his or her own style and pace.
Whether it pertains to subjects, courses, timetables, faculty members, extracurricular activities, internships, or modes of study…. this model puts the student in the driving seat.
The new-age discipline also draws from and is used in conjunction with, other learning methodologies such as:
Adaptive Learning
Individualized Learning
Differentiated Learning
Competence Based Learning
Each of the above seeks to create a custom learning experience that addresses the unique and varied needs of learners.
With student needs paving the way forward for modern education, personalization becomes key to ensuring survivability and sustainability.
Exploring Hyper-personalisation in 2023
Now that we’ve established that hyper-personalization is an enduring trend rather than a short-lived fad, let’s look at how it will drive outcomes and innovation in the learning space:
It will enable institutes, primary and higher, to build a reputation of being student-centric and learner-focused.
Institutes will now have the edge they need when applying for a local or international accreditation.
Digital literacy among students, teachers and other educational stakeholders will find faster adoption.
EdTech adoption among Institutes, businesses and training centres will be swift and systematic.
Campus management solutions will influence innovation to find better software and feature upgrades to cater to hyper-personalisation.
Students will find new career paths and specializations that are off the beaten track opening up.
Faculty will be motivated to discover new learning styles, methods and approaches.
Academicians and researchers will be encouraged to develop new learning modules that can further drive personalisation.
The education sector will be primed for more Artificial Intelligence (AI) and Machine Learning (ML) based tools.
The transition from academics to the workforce will become more seamless.
A more specialized labor pool will emerge.
According to EdTech experts, hyper-personalization will be one of the front-running learning modules for the near future.
After all, we’re all just living in a student’s world!
Interested in knowing how your institute could leverage personalized and adaptive learning styles to steer outcomes?
Get in touch with our team for an enlightening and eye-opening discussion.
