How can your employees stay ahead of the game with adaptive learning?

1 What is adaptive learning?

Adaptive learning is a type of online learning that uses artificial intelligence (AI) and data analytics to tailor the learning experience to each individual learner. Unlike traditional online courses that follow a fixed and linear curriculum, adaptive learning courses adjust the content, pace, and difficulty of the learning activities based on the learner's performance, feedback, and goals. This way, adaptive learning can provide a customized and optimal learning path for each employee, ensuring that they learn what they need, when they need it, and how they need it.

2 How does adaptive learning work?

Adaptive learning works by collecting and analyzing data from various sources, such as pre-assessments, quizzes, surveys, interactions, and behaviors, to create a learner profile. The learner profile contains information about the learner's strengths, weaknesses, preferences, motivations, and goals. Based on the learner profile, the adaptive learning system then selects and delivers the most appropriate and relevant content and activities for the learner, using algorithms and rules. The system also monitors the learner's progress and feedback, and adjusts the learning path accordingly, creating a dynamic and responsive learning environment.

4 How can you implement adaptive learning?

To implement adaptive learning in your organization, you must first define your learning goals and outcomes, and align them with your business objectives and strategies. Additionally, you should identify your target audience, their characteristics, and their learning needs and expectations. Furthermore, you must create or curate your learning content, and organize it into modules, topics, and subtopics. You should also design learning activities, such as assessments, quizzes, simulations, games, and projects that are linked to the learning outcomes. Moreover, you will need to choose or develop a learning platform that supports adaptive learning and integrates with existing systems and tools. It is essential that the platform is user-friendly, secure, and scalable, as well as capable of collecting and analyzing data from various sources. Lastly, you must evaluate and improve your adaptive learning program by measuring its impact and effectiveness. You should also collect feedback from learners in terms of satisfaction, engagement, retention, and performance to optimize your content, activities, and platform.

5 What are some examples of adaptive learning?

Adaptive learning is not a new concept, but it has become more accessible and affordable with the advancement of technology and AI. For example, Knewton is an adaptive learning platform that uses AI and data to personalize the learning experience for each learner, while Smart Sparrow allows you to create and deliver interactive and adaptive online courses. Duolingo is a popular language learning app that uses adaptive learning to teach you a new language, adapting to your level, goals, and preferences. These platforms and tools can be used for various subjects and levels, such as math, science, language, professional development, health, engineering, business, and education.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?