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      • Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner.
      en.wikipedia.org/wiki/Adaptive_learning
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  2. Apr 1, 2021 · Technology-based adaptive learning systems or e-learning systems can provide students with immediate assistance, resources specific to their learning needs, and relevant feedback that students may need. Adaptive learning typically occurs on a web-based platform.

  3. Adaptive learning, also known as adaptive teaching, is an educational method which uses computer algorithms as well as artificial intelligence to orchestrate the interaction with the learner and deliver customized resources and learning activities to address the unique needs of each learner. [1]

  4. The concept of machine-driven learning dates back decades, but with better technology now available and institutions fighting to keep students engaged and in school, it’s time to take another look at what adaptive learning offers.

  5. Generally speaking, adaptive learning refers to the practice of tailoring learning to fit the unique needs of each individual. More specifically as it relates to learning technology, adaptive learning is the use of algorithms and artificial intelligence to curate learning.

  6. Dec 9, 2022 · Adaptive learning can be defined as a teaching process that adapts automatically to each student or learner, meaning that the courses, the assessments, or the teaching resources are used to tailor the course to each individual’s progress, abilities, and even choices.

  7. Dec 2, 2023 · Adaptive learning is the personalization of learning experiences for each individual learner. This includes adapting the curriculum path, changing the speed or difficulty of practice and assessments, the addition of resources to improve certain areas of learning, and more.

  8. Mar 12, 2021 · Adaptive learning personalizes learning by continuously evaluating each student’s performance in real time and creating an ever-changing individualized learning pathway as directed by artificial intelligence and machine learning, thus increasing learning and student satisfaction.