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Using Project-based Learning in a Hybrid e-Learning System Model, AUTOR:…
Using Project-based Learning in a Hybrid e-Learning System Model
Introduction
Project-Based Learning (PBL)
Hybrid e-learning
Artificial Intelligence (AI)
Adaptive learning environments
Model System Development
Neural Networks
Fuzzy Logic
Multi-Agent System Architecture
Monitoring Agent
CBR Agent
Student Modelling Agent
Literature Review
Critical thinking, autonomy, creativity
LMS challenges: PBL, adaptive content
PBL and Collaboration
State of the art in e-learning
Intelligent Agents
Content customization
Emotional recognition
Adaptive learning systems
Multi-agent systems
Learning Styles
Machine learning, behavior analysis
Fuzzy Logic for LS
Preferred learning styles (LS)
Personalized learning environments
Back Propagation Neural Networks
Time series prediction
Security applications
Classification, clustering
Data classification
Case-Based Reasoning (CBR)
Retrieve, Reuse, Revise, Retain
Project recommendation
CBR for project selection
Results
77.1% match in learning styles identification
90% match for project selection
Conclusion
Enhanced e-learning
Future: Thinking styles, Virtual Reality
Personalized project assignments
AUTOR:
MARIANA LARA
PAPER:
Using Project-based Learning in a Hybrid e-Learning System Model
GROUP # 14