Education is changing quite significantly in recent years. AI-powered adaptive learning systems are changing how students interact with content and provide individualized experiences quite different from conventional classroom settings. These variations are investigated in this part in order to grasp their consequences on learning results.
AI systems adapt in real-time to student performance and learning pace while also customizing educational resources to meet specific needs. Improved academic results and more engagement can follow from this personalizing.
In-person classrooms with people give students structure, face-to-face interaction, and emotional support that keep them interested in learning. Teachers change their plans on the spot based on body language and conversation. Interacting with peers helps students learn how to work together and talk to each other. In these kinds of places, people often think more deeply and learn from each other.
Students using an AI tutor outperformed those in a well-taught active learning class. They learned more than twice as much in less time, and 83% said the AI’s explanations were as good or better than a professor’s according to case studies
Despite how effective AI can be if used correctly, in great hands enable a human teacher to offer learning through projects, group discussions, and critical thinking support things that artificial intelligence finds difficult to match on its own.
Advantage for artificial intelligence:
AI exists 24/7. Students might study off-hours, on a bus, or at home. Students with different demands, schedules, or learning preference will find particular benefit from this flexibility.
Traditonal education is often very location-based and time bounded. For example, some students with family responsibilities ,or jobs. Although structured environment gives routine and face-to-face support and peer review.
A comparison of mean post-test performance between students taught with the active lecture and students taught with the AI tutor. Dotted line represents students’ mean baseline knowledge before the lesson (i.e. the pre-test scores of both groups).
Source: “AI Tutoring Outperforms Active Learning,” Gregory Kestin, Kelly Miller, Anna Klales, Timothy Milbourne, Gregorio Ponti