Paper Contents
Abstract
1.24MBAR0021 - Ardhara. S2.24MBAR0098 - Aravind Nair3.24MBAR0773 - Ashwin Vasudevan Midde4.24MBAR1056 - Anoushka Singh Chauhan5.24MBAR1067 - Ayaan Ali Rahman6.24MBAR0486 - R KomalaTechnology breakthroughs and an increasing focus on individualized learning are driving a rapid evolution in the educational landscape. This study examines how neuroadaptive learning, a rapidly developing field, might transform teaching methods. The study specifically looks at the creation and use of AI-powered platforms that combine eye tracking, biometric sensors, and brain-computer interface (BCI) technology to dynamically adapt learning experiences to each learner's unique cognitive and emotional states. Using platforms such as NeuroAdapt Learning as examples, this cutting-edge method seeks to maximize learner engagement, retention, and comprehension by developing personalized learning paths that instantly adjust to the individual requirements and reactions of every student.Education is changing fast, thanks to breakthroughs in technology and a growing focus on personalized learning. The traditional one-size-fits-all approach is giving way to methods that adapt to each student's unique needs. One of the most exciting developments in this area is neuroadaptive learninga cutting-edge approach that uses artificial intelligence (AI) and biometric technology to create dynamic, personalized learning experiences.
Copyright
Copyright © 2025 Anoushka Singh Chauhan. This is an open access article distributed under the Creative Commons Attribution License.
