№ files_lp_3_process_7_058691
Year: 2026
Region / city: Hungary
Subject: E-learning, Student Performance Evaluation
Document type: Research Paper
Organization / institution: Kodolányi János University, MY-X Research Team
Author: Shagai Turtogtokh, László Pitlik, László Pitlik (Jr)
Target audience: Educators, Researchers, Data Scientists
Period of validity: Ongoing
Date of approval: Not specified
Date of modifications: Not specified
Keywords: AI, anti-discrimination, optimization, automation, e-learning
Context: This is a research paper analyzing student performance using Moodle log data, advanced data analytics, and AI tools to offer an objective, data-driven evaluation framework for educators.
Price: 8 / 10 USD
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