A LITERATURE REVIEW ON ADAPTIVE LEARNING AND ASSESSMENT WITH EXPLAINABLE AI A LITERATURE REVIEW ON ADAPTIVE LEARNING AND ASSESSMENT WITH EXPLAINABLE AI

Artificial Intelligence, or AI, is the simulation of human intelligence in machines by enabling tasks like learn- ing, reasoning, problem-solving, and decision-making. Artificial Intelligence in the field of Education has shown immense po-tential from creating personalized learning paths to automating administrative and assessment tasks. This revolution promises a significant leap in how education is delivered and experi- enced. Adaptive learning enabled by AI algorithms, enables the students to learn their concepts based on their unique needs, preferences, and pace. However the adaptive learning platforms lacks transparency and without transparency it also lacks trust. This paper explores the potential of Artificial Intelligence in the field of education, focusing on creating transparent, ethical, and effective learning environments through Explainable AI (or XAI).