Adaptive learning refers to a method of instruction and educational technology that customizes the learning experience to meet the unique needs and abilities of individual learners. It leverages technology and data analytics to dynamically adjust the content, pace, and delivery of learning materials based on each learner's knowledge, skills, preferences, and learning progress.

The core principle behind adaptive learning is to provide personalized learning pathways that optimize the learning experience for each student. Through the use of intelligent algorithms and data-driven insights, adaptive learning platforms can assess learners' strengths and weaknesses, identify areas where additional support or challenge may be needed, and tailor the learning content and activities accordingly.

Adaptive learning systems often utilize various techniques, such as adaptive assessments, personalized content recommendations, targeted feedback, and individualized learning pathways. These systems can adapt the difficulty level, sequencing of topics, and instructional approaches to accommodate different learning styles and ensure optimal learning outcomes.

By adapting to each learner's needs, adaptive learning promotes greater engagement, improved retention of knowledge, and increased learner mastery. It allows learners to progress at their own pace, receive targeted support in areas where they struggle, and be appropriately challenged in areas where they excel. Adaptive learning holds the potential to enhance the efficiency and effectiveness of education by providing personalized and adaptive learning experiences.