What is adaptive learning?
Adaptive learning is an educational method that personalizes learning using computer algorithms to orchestrate the interaction with the learner and deliver customized resources, instructions, assessments, and other learning activities to address the unique needs of each learner. In an adaptive learning environment, the delivery of learning content may be determined by the interaction of the learner with its content. One simple way to look at it would be to consider a simple assessment at the beginning of an online course that would determine which learning instructions to be delivered and in what order. This has already been happening systematically in the classic pre-learning assessment, but the adaptive learning takes it all a bit further. With adaptive learning, learning path and content is determined by various implicit and explicit indicators, such as which online videos or segments of that video were played the most, or which keywords were actually searched.
To put it simply, adaptive learning manages the presentation of educational material according to students’ learning needs, as indicated by their responses to questions, tasks and experiences. The technology encompasses aspects derived from various fields of study including computer science, AI, psychometrics, education, psychology, and brain science.
Adaptive learning is an educational method that personalizes learning using computer algorithms to orchestrate the interaction with the learner and deliver customized resources, instructions, assessments, and other learning activities to address the unique needs of each learner.
Adaptive learning has been in part driven by a realization that high quality learning learning is difficult to achieve on a large-scale using traditional, non-adaptive approaches, because these approaches don’t take into consider the individual differences in level of intelligence, interest or any other characteristic. Adaptive learning systems endeavor to transform the learner from passive receptor of information to collaborator in the educational process. Adaptive learning systems’ primary application is in education, but another popular application is business training.
Open Badges Application in Adaptive Learning
As we said earlier, interactions can be explicit or implicit interactions from the computer artificial intelligence algorithm’s perspective. Explicit interactions are those directly performed by the user, such as adding certain badges to their goals or bookmarking a certain badge for review. Implicit interactions may include following people with certain badges and skills, viewing or liking certain badges or skills. Such interactions with badges are good feeds for adaptive learning algorithms that try to predict what the learner needs based on tens of user indicators and profile characteristics.