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What is An AIBased Approachfor Classificationand Performance Evaluationof Teaching Assistant about?

This conference paper presents an AI-based approach for classifying and evaluating the performance of teaching assistants using various machine learning algorithms. The study utilizes a dataset from Kaggle, applying multiple supervised learning techniques and demonstrating that ensemble methods outperform traditional classification techniques. The results indicate that the ensemble approach achieves the highest accuracy in predicting teaching assistant performance, highlighting the effectiveness of machine

Author

marcosbeto

Language

EN