Leveraging Artificial Intelligence to Combat Truancy and Enhance Classroom Engagement

Abstract

Reforming truancy by addressing Students’ global engagement is made possible by using Artificial Intelligence (AI) tools. AI technology facilitates real-time student monitoring, behavior and emotion analysis as well as designing custom learning experiences thus allowing educators to nurture evolving and encompassing classrooms. Using behavior analysis systems and individualized Instructional design tools of AI moderates better engagement and motivation thereby decreasing rates of truancy. Matched emotion recognition using deep learning models, passive biometric feedback interaction systems for engagement measurement and performance flakes are a few AI tools available today. Technologies such as these proactively allow classroom management to improve motivation rather than waiting for an issue to arise. Using interactive tutorials also helps students who find engaging with teachers hard through increasing talking and better content. Monitoring progress and providing feedback through AI also aids teachers in recognizing students who are unable to seek assistance on their own. AI in education as a whole faces a plethora of ethical problems such as data misuse, restrictive access or biased algorithms that AI has to incorporate to be successful. AI integration should be gradual as human intervention will become even more overshadowed by AI tools. AI applications in education can offer real-time assistance to students, help them to improve attendance and also create tailored, fun learning activities, which might help them in the longer term. This research also shows the great promise that AI holds in the field of education while stressing the need for a moral and prudent framework for its use