Adaptive Learning: What is it and how is it influenced by AI?
With ‘adaptive learning,’ an individually tailored learning experience for each student is created through continuous analysis of the data the system receives during the learning process, generating a personalized flow of input and output on the student’s progress. The more interaction there is with the adaptive learning digital platform, the more data it will have at its disposal.
So, what is adaptive learning?
It is a teaching method capable of adapting to the specific needs of each student. Through the use of artificial intelligence: based on the student’s reactions and the content, the system will suggest personalized recommendations, revisions, and interventions.
This revolution also affects the work of the instructor because those who create and sell online courses will have increasingly more data to structure dedicated materials and can constantly monitor the progress and setbacks of their students.
When can we talk about adaptive learning?
A learning environment can be considered adaptive if it meets four conditions:
1. Monitors the student’s activities automatically
2. Interprets the data based on specific patterns
3. Understands the user’s needs and requirements through extracted data
4. Provides personalized knowledge based on the analysis of that data dynamically
What are the positive effects of Adaptive Learning?
A study by Education Growth Advisor showed that since Arizona State University introduced adaptive learning, the pass rate has increased by 18%, and course withdrawals have been reduced by almost half.
A similar experience occurred at Colorado Technical University, where promotions increased by almost 30%.
What role does AI play in the revolution of adaptive learning?
Adaptive learning, through algorithms and artificial intelligence systems, improves interactions between machine and student, personalizes learning environments, and meets the specific needs of students.
It enables the creation of a continuous and focused tutoring system for individual students, detecting gaps and progress, providing advice, and increasing engagement.
It allows for the creation of more efficient, effective learning paths through a data-based approach.
In conclusion, adaptive learning is undoubtedly the future frontier of learning. But if we take a moment to reflect, we see that adaptive learning is exactly what every good teacher does: understand the needs of their students, provide useful information, and reshape less effective methodologies.