AI in Assessment from Standardized Testing to Dynamic Feedback
Dayna Lynn Mitchell · Advances in computational intelligence and robotics book series · 2025
AI in Assessment From Standardized Testing to Dynamic Feedback explores the transformative role of artificial intelligence (AI) in educational assessment. It examines the limitations of traditional standardized testing, highlighting how AI can offer more personalized, real-time feedback tailored to individual learner needs. By leveraging AI's ability to analyze vast amounts of data, the chapter discusses how assessments can evolve from static, one-time evaluations to dynamic, continuous feedback loops that support ongoing learning and development. The proposal also delves into the ethical considerations, challenges, and potential implications for educators, students, and institutions as AI-driven assessments become more integrated into educational practices.