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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE access Ročník 13; s. 61350 - 61367
Hlavní autoři:	Gutierrez, Rommel, Eduardo Villegas-Ch, William, Maldonado Navarro, Alexandra, Lujan-Mora, Sergio
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!