Pedagogical Strategies for Teaching AI & ML

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 recomendationsGrading assistanceMethods adjustments based on student performance

ChatbotsHumanoid robots

Advancements relevance for teachers

Administrative tasksCurricula adaptationContent 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

Promote curriculum adjustment based on learners' needs, interests, and abilities

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 learningRoutines optimizationEnhanced efficiencyImproved accessibilityProcesses scaling

Thank you!

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