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Module 1: Foundations of Artificial Intelligence (AI) in Education
Introduction: Foundations of Artificial Intelligence (AI) in Education
Types of AI
Machine Learning types and educational applications
Educational applications of Supervised Learning
Unsupervised and Reinforcement Learning in Education
AI Applications in Education
Summary: Foundations of Artificial Intelligence (AI) in Education
Module 1: E-Book
Quiz 1
Quiz 2
Module 2: AI in Classroom Teaching and Learning
Introduction: AI in Classroom Teaching and Learning
Adopting new teaching methods
Deciphering data to enhance user interaction
Innovative AI Integration in Education
Optimizing AI Tools for Teacher Upskilling
Fostering Evaluations to Optimize Teaching and Learning
Summary: Foundations of Artificial Intelligence (AI) in Education
Module 2: E-Book
Quiz 1
Quiz 2
Module 3: Ethical, Bias, and Sustainability Issues in AI
Introduction: Ethical, Bias, and Sustainability Issues in AI
Emphasizing Fairness – Transparency and Accountability
Student Privacy
Ethical AI: Transparency and Bias Mitigation Strategies
Inclusivity and Equity: Practical Techniques and Awareness
Sustainable AI Practices
Summary: Ethical, Bias, and Sustainability Issues in AI
Module 3: E-Book
Quiz 1
Quiz 2
Module 4: AI and Curriculum Integration
Introduction: AI and Curriculum Integration
Uncover Synergies
AI Concepts to Revolutionize Subjects
Crafting Dynamic Curriculum
Continuous Improvement in AI Systems
AI-Assisted Grading
Summary: AI and Curriculum Integration
Module 4: E-Book
Quiz 1
Quiz 2
Module 5: AI for Administrative Efficiency
Introduction: AI for Administrative Efficiency
Automation of Routine Tasks
AI for Efficient Resource Allocation and Management
AI for Mental Health and Well-Being
AI-Driven Data Collection and Storage
AI Techniques for In-Depth Data Analysis and Reporting
Tools for Insightful Decision-Making
Summary: AI for Administrative Efficiency
Module 5: E-Book
Quiz 1
Quiz 2
Module 6: Data Literacy and AI
Introduction: Data Literacy and AI
Diverse Data Types and Sources
Skills for Analysing and Interpreting Data
Summary: Data Literacy and AI
Module 6: E-Book
Quiz 1
Quiz 2
Module 7: AI-Enhanced Assessment and Feedback
Introduction: AI-Enhanced Assessment and Feedback
Adaptive Testing Mechanics
Real-time Assessment
Strategies for Fair and Unbiased AI Grading Systems
Enhancing Assessment Accuracy: Objectivity and Bias Mitigation
AI for Scalable and Efficient Assessments
Dynamic Courses with Real-Time Student Data
Summary: AI-Enhanced Assessment and Feedback
Module 7: E-Book
Quiz 1
Quiz 2
Module 8: AI Tools and Hands-on Experience
Introduction: AI Tools and Hands-on Experience
Choosing AI Tools for Education
Evaluate suitability for diverse needs
Ensuring a Criteria for Effective Performance
User Feedback
Enhance Effectiveness with Continuous Improvement
Summary: AI Tools and Hands-on Experience
Module 8: E-Book
Quiz 1
Quiz 2
AI+ Educator Final Quiz
AI+ Educator Final Quiz
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AI+ Educator Blueprint
AI+ Educator Detailed Curriculum
AI+ Educator - Reference Videos and Links
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