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The Rise of Artificial Intelligence in Educational Measurement: Opportunities and Ethical Challenges
This white paper examines ethical implications of AI-powered tools in educational measurement, focusing on automated scoring, personalized feedback, and data analytics while addressing concerns about validity, reliability, transparency, fairness, algorithmic bias, and equity in educational assessment contexts.
The integration of artificial intelligence (AI) in educational measurement has transformed assessment methods, allowing for automated scoring, swift content analysis, and personalized feedback through machine learning and natural language processing. These advancements provide valuable insights into student performance while also enhancing the overall assessment experience. However, the implementation of AI in education also raises significant ethical concerns regarding validity, reliability, tr