Artificial Intelligence in Educational Data Mining and Human-in-the-Loop Machine Learning and Machine Teaching: Analysis of Scientific Knowledge

Applied Sciences, Год журнала: 2025, Номер 15(2), С. 772 - 772

Опубликована: Янв. 14, 2025

This study explores the integration of artificial intelligence (AI) into educational data mining (EDM), human-assisted machine learning (HITL-ML), and machine-assisted teaching, with aim improving adaptive personalized environments. A systematic review scientific literature was conducted, analyzing 370 articles published between 2006 2024. The research examines how AI can support identification patterns individual student needs. Through EDM, are analyzed to predict performance enable timely interventions. HITL-ML ensures that educators remain in control, allowing them adjust system according their pedagogical goals minimizing potential biases. Machine-assisted teaching allows processes be structured around specific criteria, ensuring relevance outcomes. findings suggest these applications significantly improve learning, tracking, resource optimization institutions. highlights ethical considerations, such as need protect privacy, ensure transparency algorithms, promote equity, inclusive fair Responsible implementation methods could quality.

Язык: Английский

Who Did What to Succeed? Individual Differences in Which Learning Behaviors Are Linked to Achievement

Опубликована: Фев. 21, 2025

Язык: Английский