Optimizing Problem-Solving in Technical Education: An Adaptive Learning System Based on Artificial Intelligence

The increasing complexity of educational challenges in technical disciplines highlights the need for personalized learning systems to address diverse student needs. Traditional methods, often relying on static activities or predefined rules, limit their ability to adapt to individual progress, hinde...

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Veröffentlicht in:	IEEE access Jg. 13; S. 61350 - 61367
Hauptverfasser:	Gutierrez, Rommel, Eduardo Villegas-Ch, William, Maldonado Navarro, Alexandra, Lujan-Mora, Sergio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Adaptation models Adaptive learning Adaptive systems Algorithms Artificial intelligence artificial intelligence in education Colleges & universities Computational efficiency Customization Deep learning Efficiency Heuristic algorithms learning personalization Machine learning Measurement Optimization Problem solving Real time Real-time systems Skills Students Technical colleges Technical education Training
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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