How does Adaptive Learning support teaching?
So already, adaptive learning is an innovative educational approach, using artificial intelligence to dynamically customize content and teaching methodology, maximizing the effectiveness of learning by adapting to the individual needs of each learner.
This personalized pedagogical method promises to optimize learning by adapting (and yes …🙌🏾) to the individual needs of each learner according to the profile, the teaching style, and the pace of acquisition.
Understanding Adaptive Learning
This personalization is made possible through the use of technologies such as artificial intelligence and data analysis.
How does it work?
Initial assessment: Each learner starts with an initial assessment to assess their proficiency level and identify gaps.
Continuous adaptation: Depending on the results of the assessment, the system constantly adapts the content and method of teaching, offering additional exercises on the weak points and accelerating on the strong points.
Instant feedback: Learners receive immediate feedback, thus strengthening their understanding and confidence.
The Link between Adaptive Learning and Immersive Learning
Adaptive learning and immersive learning complement each other to create an immersive and personalized educational experience.
While adaptive learning adjusts content and methodology in real time based on individual progress, immersive learning immerses learners in virtual or real environments for a more engaging learning experience. These two approaches feed each other, offering a stimulating immersion that dynamically adapts to the specific needs of each learner.
For example, in language learning, an application using adaptive learning can adjust the exercises according to the learner’s gaps, while immersive learning could simulate real-life conversations to reinforce language practice in an authentic context. Together, these methods radically transform the way we learn, providing a personalized and engaging educational experience.
Examples
Duolingo: The popular language learning app uses adaptive learning to customize lessons based on each user’s progress. The exercises adjust according to previous mistakes, maximizing the effectiveness of language learning.
In the context of vocational training, adaptive learning can tailor modules to the specific skills required by each employee. Immersive learning could then simulate realistic work situations to allow employees to directly apply their knowledge in a professional context.
In science, adaptive learning can adjust the curriculum according to each student’s understanding, while immersive learning could offer virtual reality experiences to explore biological environments, chemical or physical to speed up or repeat contents.
For subjects such as history and geography, adaptive learning can customize lessons according to each student’s level of knowledge. Immersive learning could allow students to travel virtually to past eras or geographical locations, thus strengthening their contextual understanding
Khan Academy: This platform offers adaptive math lessons, where each student progresses at their own pace. The exercises become more complex as the student’s understanding improves.
Keys figures
According to a study by the Gates Foundation, students using adaptive learning systems can achieve progress twice as fast as traditional teaching methods.
A survey conducted by the Learning House revealed that 60% of online students consider adaptive learning as an essential component to improve their learning experience.
The adaptive learning market is expected to reach $3.74 billion by 2024, according to a MarketsandMarkets report.
Adaptive learning is not only a trend, thanks to new technologies it brings complementarity to the diverse needs of learners by creating a tailor-made experience, thus maximizing the chances of success for everyone.
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