Artificial Intelligence (AI) based microlearning approach is creating a massive ripple effect on corporate training.
Fast, fun and effective microlearning is here to stay!
Which is why Training managers need to use the AI assisted microlearning capabilities to one’s advantage.
AI is transforming the way training material is created and managed. It automates content creation, curation and delivery- a huge time and money saver.
Plus, it takes away the major training pain points like paucity of time to develop programs, lack of reinforcement to learners, difficulty in creating relevant programs, failing to engage learners and delivering sustainable Training ROI.
Used correctly, AI can be a game changer in making microlearning lessons extremely custom-made to learners’ needs.
Let’s understand this better…
AI and Microlearning: The Basics
A robust AI powered microlearning platform is a pre-requisite to delivering quality lessons. Microlearning platforms with AI assisted capabilities give you speed, flexibility and ease of creating relevant content.
Plus, it also makes learning easy, engaging and enjoyable!
To do that, you also need a very clear understanding about what microlearning can and can’t do for you.
Some of the benefits of an AI assisted microlearning platform include the ability to add rapid development, minutes-a-session and quick-to-market capabilities to your training armoury.
How it works:
Microlearning platforms integrate AI tools like ChatGPT using an API. These AI-driven ‘embeddings’ give your microlearning platform a ‘long term memory’ on the kind of content you normally seek while using AI.
So, when you create content using AI assisted microlearning platform, your interactions teach the AI tool on ‘how to respond’ to your prompts. Your microlearning platform continues to learn ‘what you are looking for’ and ‘how you think’.
It’s like teaching Artificial Intelligence(AI) to fall in line with your expectations as Training managers and developers.
The result- you are able to author content instantaneously without wasting long hours on it.
Robust AI assisted microlearning platforms are adaptive. Adaptive microlearning uses a learner-centric approach using concepts such as spaced repetition, retrieval practice (tests/questions/quizzes), an adaptive delivery, and gamification.
Effects of an Artificial Intelligence (AI) Assisted Microlearning Platform
1. Problem of Plenty Solved
AI helps you deal with the problem of ‘plenty’. This means that you can sift through excessive data quickly using AI, and extract content that’s relevant to you within seconds.
The problem of ‘difficulty of searching content’ gets obliterated with AI. Fetching vital information becomes easier from both internet (external source), and internal sources (business in-house knowledge repositories).
Clearly, learners have varying levels of knowledge, learning-styles, experiences, and interests. AI capabilities help you hit at the root of the ‘forgetting curve’ (Ebbinghaus) of your learners.
2. Artificial Intelligence based Content Curation
AI in microlearning automates the curation process, where you are able to quickly identify and organize the most relevant content for learners. AI algorithms in a robust microlearning tool scan large amounts of content in a jiffy. It narrows down and offers you content that’s most important, relevant and up-to-date.
This way, culling out the key learning points (KLPs) becomes easier with AI curation capabilities.
3. Enhanced Personalization
Different people learn in different ways. Learners vary in their strengths, weaknesses, needs, backgrounds, knowledge and skill.
AI based microlearning platforms help personalize learning. They are designed to adapt, create and present lessons/tests etc. to suit an individual learner’s styles, requirements and preferences.
With Artificial Intelligence (AI), you get a more efficient and customized learning experience based on the development needs, interests, and habits of your individual learner.
This personalization quickens and maximize the learning process. AI engines actively determine behavioral patterns of learners in different learning style, finds out the frequent sequence of navigational pattern in each learning style. AI algorithms filter out the best approach, sequences and recommendations for each learner.
How does this happen?
An AI assisted microlearning system analyses the collected experiences of learners, their behavior, performance, and learning style, and optimizes the learner experience using the in-built AI engine.
When your learner begins interacting with a microlearning platform, AI algorithms kicks-in to observe the learner, and present content to make a learner’s learning experience better. Content curation happens at every step of the way. For instance, the kind of information presented, the intensity of spaced-repetition, and the retrieval practice questions/tests posed.
AI generates the content most likely to engage each learner based on each learners’ experience.
Powered by an AI algorithm, the microlearning platform takes all that data and uses it to give back relevant, actionable and insightful information to your learner.
This helps Training managers to continually optimize on the content on an on-going basis.
4. Reduction in Information Overload
Quantity and quality of content is balanced by an AI assisted microlearning platform depending on each learner’s learning patterns, styles and preferences.
A well-powered AI assisted microlearning platform allocates lessons and questions to learners based on their on-going interactions, existing level of understanding, and the performance/scores.
AI does the job of filtering content, information, and enabling learning activities that optimize the learning process in microlearning.
5. Flexibility of Sources- Internal and External
Access to curate is available from both internal as well as external sources.
Internal sources are specific to your business, while external is everything that’s available on internet or otherwise.
A robust AI-assisted microlearning platform gives you the capability to pick relevant content from a combination of sources (external and/or) internal).
Not everything is available on internet. You alone would have access to valuable knowledge about your product or service offerings, core competencies, patents, processes, procedures, business practices, policies etc.
6. Options to Create, Edit, Generate New Content
A robust AI helps you develop, create and edit content. AI algorithms help you analyse the existing content, identify patterns and thereafter generate new content as per your need.
AI is interactive and thinks like a human brain. It responds to your probe, questions, and presents content that suits your needs.
The AI tool embedded in the microlearning platform quickly picks up how you think and operate.
It also helps you to detect and plug the knowledge gaps with ease. This helps you save time and money.
To conclude, AI capabilities of microlearning platforms are evolving at an exponential pace. It’s only logical and sensible to ride this rapidly evolving tech-wave and achieve a sustainably high Training ROI.
