Paper Contents
Abstract
The working principles of AI-driven tools are based on progressive learning algorithms that allow data to program itself. These tools find patterns in data to develop skills. They can use real-time or existing data to analyse and adapt to changes quickly. For instance, personalized learning apps observe user habits and adjust teaching methods accordingly. This makes learning more user-friendly, compared to traditional classroom settings where individual attention is limited. Students benefit from the use of AI in education. AI, however, now makes these tasks easier and can be achieved in a snap of time with the help of apps like Duolingo for language learning or scheduling reminders using Google Assistant. With AI in learning, it stretches itself to interactively train students and offer them real-time feedback, and lessons are built uniquely per student response, making the process of supporting a child more effectively rendered.AI has played a part in the changing role of teachers. AI to completely replace teachers someday is a lone probability; however, it will mostly work as an aid enabling human instructors to do their jobs more easily. AI tools allow teachers to do anything from attendance and grading through policed chatbots, simulations, or gamification-style learning experiences.However, it is important to strike a balance with technology use, especially for the younger generation, to ensure that creativity is not stifled. Overreliance on technology can have negative effects on health, so it is crucial to maintain a balance between technology use and personal well-being.
Copyright
Copyright © 2024 Tanushka Milind Lokegaonkar. This is an open access article distributed under the Creative Commons Attribution License.
