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, discussing opportunities and challenges such as automated scoring, algorithmic bias, transparency, and fairness in assessment contexts. It provides a broad overview of ethical concerns and proposed guidelines rather than presenting a specific benchmark or empirical evaluation of AI systems.

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

Study Type

Source

Framework Categories

Tool Types

Tags