Assessment is undergoing a profound transformation. For decades, test developers and educators have worked to create assessments that are valid, reliable, and fair—tasks that have traditionally required extensive human effort and expertise. Artificial intelligence (AI) is transforming these processes, unlocking new levels of efficiency, accuracy, and accessibility once thought unattainable.
AI is more than just a tool for streamlining test creation; it is reshaping the very nature of assessment. It allows educators to move beyond rigid, time-consuming models, opening up possibilities for adaptive testing, real-time feedback, and deeper insights into student learning. Yet, with these advancements come critical questions: How do we ensure AI-powered assessments remain fair and transparent? What is the role of human expertise in this new landscape? And how can we harness AI to promote equity rather than reinforce existing disparities?
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