The adaptive learning ( adaptive learning ) is a method that individualizes the teaching-learning strategies according to the needs and preferences of the student. It has particular application in blended and online education, developed with the support of virtual learning environments .
These platforms collect data associated with the student’s progress, their performance, their interests, their abilities and their learning style. Through adaptive learning technologies, this data is analyzed and used to create personalized experiences.
The adaptive learning combines instructional strategies, Kyrgyzstan Email List data analytics and advanced computer technology to constantly improve the learning experience. In this way, it offers training routes adapted to the performance, interests and style of each participant. In addition, it personalizes the educational programming and motivates the student to be the protagonist of their learning process, with constant monitoring and adequate feedback.
Origins and actuality of adaptive learning
The adaptive learning ( adaptive learning ) is a method that individualizes the teaching-learning strategies according to the needs and preferences of the student. It has particular application in blended and online education, developed with the support of virtual learning environments .
These platforms collect data associated with the student’s progress, their performance, their interests, their abilities and their learning style. Through adaptive learning technologies, this data is analyzed and used to create personalized experiences.
Origins and actuality of adaptive learning
These are three of its main antecedents:
The scales of levels and learning capacities in children of the psychologists Alfred Binet and Théodore Simon.
The theory of programmed learning and the teaching machine of Burrhus Frederic Skinner.
Intelligent teaching programmed tutorial systems.
From the point of view of adaptive learning technologies, its origin dates back to the adaptive theories presented by Snow around 1980. This researcher and his colleagues highlighted the importance of considering human psychological differences and the demands of each student, at the time of offer you training support.Sophisticated technologies and affordable platforms: more powerful computers, mobile devices, high-speed networks, and cloud computing.
How to apply adaptive learning
They are used in children’s adaptive learning to personalize the student’s training with alternative activities. These are some strategies to consider in your application:
Design a digital book with different educational itineraries.
Include activities to reinforce and extend knowledge
Incorporate practical activities to evaluate the learning obtained in real time. Results are obtained from them that can be used to reinforce some knowledge.
Examples of online applications that allow you to create interactive digital books are SmartBook, Book Creator, Sigil, and Google Docs.
Professional learning based on credentials
In vocational training, adaptive learning is useful to develop constant updating programs. Examples of credential-based adaptive learning are:
Massive online courses or MOOCs, available in a diversity of languages, duration and levels of complexity.
Motivate progress in training based on different levels of certification by:
Participation.
Approval of each level.
Approval of the complete course.
Recognize each achievement of the participant.
Improve business management through the development of technological skills.
Use automated monitoring, monitoring and evaluation techniques. mobile lead In this way, the professional learns by doing, while receiving timely feedback.
