5 hasil untuk "Athanasios Angeioplastis"
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Artikel Jurnal Teks lengkap
Reliable or Just Accurate? A Cross-Dataset Audit of Early-Warning Models Under Course-Level Distribution Shift
Early-warning systems based on Learning Management System (LMS) traces are commonly evaluated using random or unseen-student splits, even when deployment requires predictions in courses that were absent during model development. In this study, we distinguish predictive accuracy within familiar…
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Artikel Jurnal Teks lengkap
Predicting Student Performance and Enhancing Learning Outcomes: A Data-Driven Approach Using Educational Data Mining Techniques
This study investigates the use of educational data mining (EDM) techniques to predict student performance and enhance learning outcomes in higher education. Leveraging data from Moodle, a widely used learning management system (LMS), we analyzed 450 students’ academic records spanning nine…
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Artikel Jurnal
Predicting student specializations: a Machine Learning Approach based on Academic Performance
Education is a cornerstone of societal progress, equipping people with essential skills and knowledge. In today’s dynamic global society, personalized learning experiences are crucial. Data-driven methodologies, especially Educational Data Mining (EDM), play pivotal roles. This study employs…
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Artikel Jurnal Teks lengkap
The Learning Style Decoder: FSLSM-Guided Behavior Mapping Meets Deep Neural Prediction in LMS Settings
Personalized learning environments increasingly rely on learner modeling techniques that integrate both explicit and implicit data sources. This study introduces a hybrid profiling methodology that combines psychometric data from an extended Felder–Silverman Learning Style Model (FSLSM)…
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Artikel Jurnal Teks lengkap
AI for All: Adaptive, Accessible, and Inclusive Learning Experiences in the Age of Intelligent LMSs
Learning Management Systems (LMSs) remain largely static and administrative, often failing to support personalization and inclusive access to learning resources. This paper presents AI for All, a practical approach to building an adaptive, accessible, and inclusive learning experience within a…