Adaptive learning is an approach to education that uses technology and data to customize the learning experience to meet the individual needs of each learner. Adaptive learning systems use algorithms to analyze the data collected on each learner’s performance and then adjust the learning experience accordingly. This allows learners to progress at their own pace and receive personalized feedback and support. In the context of improving learner retention, adaptive learning is way more advanced because it uses actual data to provide learners with actionable feedback in almost real time.
Adaptive learning systems can adapt to a variety of factors, including the learner’s skill level, learning style, and pace of learning. This approach can help learners to overcome their weaknesses and build on their strengths, making the learning experience more efficient and effective and boosting learner retention.
Adaptive learning can be applied to a wide range of educational contexts, from K-12 schools to higher education institutions and corporate training programs. It has the potential to transform the way we teach and learn by providing a more personalized, engaging, and effective learning experience.