How AI Enables Personalized Learning
The demand for personalized learning is driven by remote and hybrid learning models and ongoing skill development needs. According to an?Industry ARC report, the global personalized learning market is estimated to surpass $2 billion by 2024, growing at an estimated rate of around 29% from 2018 to 2024. Artificial intelligence (AI) is a great enabler to this growth and makes it possible to deliver at a large scale.
Think about how we now shop or watch TV online or OTT; it's all personalized content. It's only a matter of time before every learner expects the same experience from their learning program. Today's learning institutes face a wide range of challenges – disengaged students with short attention spans, high dropout rates, and the ineffectiveness of a traditional "one-size-fits-all" approach to education. The same applies to the workforce as well.?
When used right, AI can create effective personalized learning experiences that can help resolve most of these challenges. Let’s see how.
1. Boosts engagement?
AI can predict outcomes, allowing learning providers to offer content specific to a learner’s past performance and individual goals. For example, if there are skill gaps observed when a learner is taking a course, the algorithms can send targeted recommendations to help them build on their knowledge.
2. Real-time information and feedback
With AI, learners get all the information related to online resources needed to fill gaps and feedback in real-time, which equates to less seat time and training payroll hours. Learners get the information they need quickly. Even the L&D admins and support staff spend less time analyzing metrics and reports and can instead focus on producing effective learning content.?
3. Automate content scheduling and delivery
AI is designed to handle routine tasks so humans can focus on other priority tasks and look at the big picture. With AI, the learning platform itself can schedule coursework for the learners or deliver resources based on individual learner assessment results or simulations. This can help the learning providers to predict course maps for each of their learners automatically and readjust as needed.??
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4. Boost ROI
It’s a given - AI helps the learning providers boost their ROI. And why not? After all, less time spent in training combined with personalization results in better learning outcomes. AI-equipped learning platforms can track and forecast every move of each of the learners, allowing learning providers to launch online learning resources wherever and whenever needed.
5. Innovative learning strategies
AI combines data collection and machine learning to bring automated and personalized learning strategies to life. Here’s how:
The Future?
We have no doubt that personalized learning will be the prerequisite for all eLearning systems in the future. We are working on a framework that combines learning insights, advanced mathematics and AI/ML to create personalized learning experiences for learners with a single-minded goal to improve learning effectiveness significantly.?Our framework construes eLearning as a multi-modal system—especially around the following three dimensions: Cognitive State (proficiency) of the learner (cognitive agent), Individual Learning Style (style agent) and Emotional State of the learner (emotional agent).?
Our CEO Vivek Agarwal will be sharing the challenges, learnings and providing insight into our framework at?SHAPE Live: What do you mean ‘personalised learning’??on 1 March 2022. The event will broadcast live to the Cambridge University Press & Assessment YouTube channel at 12:00 – 12:00 PM GMT and is open to an unlimited global audience. There will be a Q&A as well. To learn more and join, click on:?https://shape-education.org/shape-live