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Pedagogical Strategies for Teaching AI & ML
Rita Ferreira
Created on September 19, 2024
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7. Pedagogical Strategies for Teaching AI & ML
Digital Learning Enhancement
Vast amounts of Data
Data analysis by AI
Online Educational Systems
Inquiry-based learning approaches
Analytics
Adaptative learning
Intelligent tutoring
Performance predictions
Applications of Machine Learning and Deep Learning algorithms to Educational Themes
Dropout predictions
Data
Commonly used algorithms
ChatbotsHumanoid robots
Intelligent systems
INFO
Web-based platforms
Computer-based systems
AI evolution in Education
Deep learning
Pattern analysis using techniques such as decision tree learning, clustering, and reinforcement learning
Machine learning
Personalised recomendations Grading assistance Methods adjustments based on student performance
Chatbots Humanoid robots
Advancements relevance for teachers
Administrative tasks Curricula adaptation Content tailoring & improved learning outcomes
High level of differentiation and tailored experiences
Learning outcomes improvement
PBL enhancement through AI
Multimodal interaction tools
Project-based learning (PBL) approaches
AI-powered tools
Allow customization of instructional design, testing and feedback
AI-driven platforms
Web-based environments
Simulation
Enhance learning content
Visualization
AI-powered tools
AI advantages
Personalized approach to project-based learning Routines optimization Enhanced efficiency Improved accessibility Processes scaling