Future of Education With AI-Assisted Technologies
Amit Kumar Arora, Anjan Kumar, Rashmi Tyagi, Shivani Sharma, Anuj Kumar, Santosh Kumar · Advances in computational intelligence and robotics book series · 2025
By leveraging AI-driven solutions, students also have the ability to adjust learning based on personal preference, with unique content that both improves understanding and boosts interest. Virtual tutors, interactive simulations, and smart assessments allow students to learn at their own pace and get real-time feedback. AI-enabled data analytics tools can spot skill gaps and forecast the likelihood of students that feed back into their re-evaluated teaching and streamline to boost success in the classrooms. AI collaborative platforms create a shared worldwide ecosystem for learning having students from all walks of life. Administrative aspects of teaching like grading and curriculum development are streamlined through automation, enabling educators with more bandwidth for mentorship and innovation. AI-assisting technologies are thus building blocks of a better educational system, with equitable, efficient, and future-proof learning developed by bridging the entry gaps.