#education-ai2 articles

2 articles

AINeutralarXiv – CS AI · 4h ago1

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Optimizing In-Context Demonstrations for LLM-based Automated Grading

Researchers introduce GUIDE, a new framework for improving automated grading of student responses using large language models. The system addresses key limitations in current LLM-based grading by optimizing the selection of training examples and generating better explanations for scoring decisions.

AIBullisharXiv – CS AI · 4h ago1

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Machine Learning Grade Prediction Using Students' Grades and Demographics

Researchers developed a unified machine learning framework that predicts both pass/fail outcomes and continuous grades for secondary school students with up to 96% accuracy. The study of 4424 students demonstrates how AI can enable early identification of at-risk students and optimize educational resource allocation through data-driven predictions.