A Development of AI Connected System with Adaptive Assessments Method for Evaluation Methods in Education Field

Thus, assessment methods bear importance in the ever-blooming state of education, as they are determinant of how a student progresses in his or her studies. Traditional ways of assessments have been very informative, but they do not fulfill the standard of adaptability and providing personalized feedback to students coming up with diversified learning processes. To these challenges, new hopes lie in Artificial Intelligence (AI) of being a modern look into reforming the evaluation methods. It is in this view that the current research paper explores the potential of AI-powered adaptive assessments in revolutionizing primary education. The present review paper gives a detailed discussion of multifaceted benefits and implications of integrating AI into assessment practices through review available relevant literature, new technology updates, and research. At its core, AI-powered adaptive assessments provide the ability to dynamically tailor the test-taker experience based on the attributes of a highly unique student profile. The assessments use machine learning algorithms to analyze real-time answers from students and their learning patterns, what they are strong or weak in learning. Such comprehensive understanding would enable the delivery of more customized feedback and learning pathways, thus ensuring that students receive much more engaging and effective learning environments.