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A Comprehensive Review on Automated Grading Systems in STEM Using AI Techniques

This paper presents a comprehensive analysis of artificial intelligence-powered automated grading systems (AI AGSs) in STEM education, systematically examining their algorithmic foundations, mathematical modeling approaches, and quantitative evaluation methodologies. AI AGSs enhance grading efficien...

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Principais autores: Le Ying Tan, Shiyu Hu, Darren J. Yeo, Kang Hao Cheong
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2025-09-01
Colecção:Mathematics
Assuntos:
automated grading systems
machine learning algorithms
mathematical modeling
AI-powered assessment
STEM education
educational technology
Acesso em linha:https://www.mdpi.com/2227-7390/13/17/2828
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