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What is IRT vs Neural Networks in Math Games about?

This thesis presents a comparative analysis of Item Response Theory (IRT) and Neural Network-Based Adaptive Difficulty Algorithms (NN-ADA) in math-based educational games. The study evaluates their effectiveness in enhancing student learning experiences, focusing on metrics such as accuracy, response time, and engagement. Findings indicate that IRT outperforms NN-ADA in improving educational outcomes in classroom settings.

Author

Matthew Wood

Language

EN