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- Adaptive learning refers to technologies that dynamically adjust to the level or type of course content based on an individual's abilities or skill attainment, in ways that accelerate learners' performance with both automated and instructor interventions. 4 It is closely related to artificial intelligence (AI) and is generally included in the area of AI in education.
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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.
May 21, 2021 · Adaptive learning involves using a personalized, tech-based teaching method. This model makes sure that students have equal opportunities to succeed despite any differences in learning...
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.
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]
Sep 30, 2020 · Adaptive learning systems have been on the rise ever since the beginnings of e-learning. Their ability to provide instructions, guidance and content tailored towards learners’ individual needs bears a lot of potential for optimising learning processes.
- Christof Imhof, Per Bergamin, Stéphanie McGarrity
- 2020
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.
It explores different components of adaptive learning systems, highlighting specific challenges related to learner modeling, content design, adaptive technologies and research methodology. Through a detailed examination of these challenges, the article puts forth theoretical and practical solutions.
