Explainable AI Based Classification Of Slow Learners and Remedial Teaching Methods

In educational environments, Explainable Artificial Intelligence is an absolutely state-of-the-art technique for the identification of learners who are proceeding with a slowing pace. Teachers can evolve treatments uniquely designed to target cognitive, attentional and knowledge deficiencies by using XAI to understand the reasons why a certain student's learning style is occurring. Such transparency builds trust between educators and AI systems to possibly work collaboratively in the design of customized learning plans. To deal with every student fairly, XAI not only helps in detecting slower learners but also in detecting educational assessment bias. It promises to improve learning outcomes, including adaptive pathways with tailored real-time feedback, through inclusion of XAI within educational frameworks.