According to edForce’s Future-Proofing India’s IT Workforce report, 66% of industry leaders and key decision-makers in India prefer personalised learning paths.
In today’s world, where AI is becoming a part of every corporate operation, it is hardly surprising that people are turning towards hyper-personalised lessons to address their individual learning needs.
What does hyperpersonalization mean?
The term hyperpersonalisation may seem daunting and technologically niche. However, it is the one term that communicates just what people expect from AI, even beyond the corporate world.
In a generic sense, hyperpersonalisation uses AI along with real-time data and advanced analytics to create a solution specific to an individual.
A prime example of AI usage in learning and development is Lex by Infosys. The digital learning tool uses Lex Digital Assistant, an AI tool that helps employees in locating the course materials they need, assessing themselves, and answering questions that might arise about the platform or a topic of interest.
Hyperpersonalisation in Learning and Development
With continuous upskilling becoming more essential, traditional one-size-fits-all training programs can fail to address individual learning needs. This is where AI steps in to analyse individual learning patterns, preferences, and performance.
Hyperpersonalized lessons implement AI and advanced analytics to the learning and development process, effectively creating learning paths that molds to the needs of the individual learned, rather than the other way around. There are many features and benefits of hyperpersonalized lessons in learning and development that make AI tutors the need of the future.
- Adaptive learning systems for employee development: AI-powered platforms can analyse real-time data to adjust content difficulty and pacing according to the learner. These adaptive learning systems ensure a fine balance between boredom and being overwhelmed.
- Personalised Recommendations: Based on what the employee has and hasn’t learned, along with their performance, AI algorithms suggest additional resources, such as reading materials or supplementary courses.
- Real-Time Feedback and Assessment: AI-powered learning platforms provide instant feedback on assignments and quizzes. They identify areas for improvement and offer targeted suggestions for effective growth.
- Time Management Support: Time management can often be an issue for those looking to upgrade skills. AI can help in creating personalised schedules and reminders, ensuring the timely completion of established learning objectives.
Hyperpersonalised Lessons in Your Company
Yes, hyperpersonalisation can give you many advantages when creating a learning plan for yourself or your employees. But what do companies need to do to make hyperpersonalised lessons more than a pipe dream?
Choose the right platform
For effective use of AI and advanced analytics, it is important to choose your Learning Management System (LMS) platform carefully. Find a platform that caters to the individual needs of employees and can parse your learning resources to industry standards.
An ideal LMS platform should be user-friendly and accessible. With the latest technological tools, it should help in not only creating a lesson plan but also provide time management support and helpful alternatives. Choosing the right LMS for AI-driven training can be hard but the results are well worth the effort.
Tying KPIs with learning milestones
The best way to keep an employee motivated to learn is to showcase the results of what they have learned. Through crucial Key Performance Indicators (KPIs), employees and employers can learn just how effective the existing lesson plans are and make necessary adjustments.
A collaborative process
While hyperpersonalized lessons are meant for employees, your LMS platform can also allow managers and other supervisors to suggest lessons or learning areas. The managers can highlight the areas where employees can improve their skills, especially when the worker in question is either unaware of the possibility or does not have the necessary resources.
Launch and Promote
Once your LMS platform is set up, make sure that employees are aware of the possibilities that it opens up for them. Conduct training sessions regarding the use of the platform and the role AI plays in it. Highlight the difference between the old model and the new one to generate interest among future learners. By promoting hyperpersonalized lessons in the workplace, you ensure that the employees are able to take full advantage of the learning tools at their disposal
Evaluate results and make changes
After the employees have the ability to access hyperpersonalized lessons, you can evaluate their effectiveness and see how it has improved the learning process. Observe the rise or fall in engagement and gather feedback to make improvements.
In the End…
Hyperpersonalized lessons realise the highest expectations that people have from AI when trying to learn something new.
One of the biggest challenges faced during any learning and development process, no matter the age and position, can be the learning pace. Just as every individual is unique, so are their learning patterns and expectations.
AI for personalised learning helps employees access learning roadmaps that they can follow with ease. These AI tutors provide lessons, information, and resources that suit the learner best.
With specific goals in mind, the lessons become much more detailed and reduce the unnecessary information that the learner might never use during their career, depending on the path they have chosen.
The reduction in time consumed and resources imparted, combined with higher learning rates, make hypersonalized lessons and investment worth looking into to upskill your workforce and create a progressive environment.