AI+ Educator™

  • Empower Educators: Focuses on AI curriculum design and classroom transformation
  • Skill Development: Combines foundational concepts with advanced educational tools
  • Practical Tools: Learn to analyse data, promote ethical AI, and design tailored learning
  • Future Trends: Stay updated with innovative teaching strategies and AI integration

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    Includes:

    Ideal candidates for this course:

    Instructor. Teach AI concepts and applications through engaging lessons and demonstrations.
    Training Manager. Develop tailored AI training programs and provide personalized coaching.
    Curriculum Manager. Design and implement AI-enhanced curricula and integrate innovative technologies.
    Educational Content Developer. Create AI-driven educational content such as simulations and virtual learning modules.

    • Basic understanding of educational theories and practices. 
    • Familiarity with digital tools and educational technology. 
    • Some experience in lesson planning and curriculum design. 
    • Interest in the potential and application of AI in education. 

    Course Overview.

    1. Course Introduction Preview

    Module 1: Foundations of Artificial Intelligence (AI) in Education.

    1. 1.1 Fundamentals of AI Preview
    2. 1.2 AI in Education Today Preview
    3. 1.3 Impact and Future Prospects of AI

    Module 2: AI in Classroom Teaching and Learning.

    1. 2.1 AI-Driven Personalized Learning Preview
    2. 2.2 AI Tools for Engagement
    3. 2.3 Implementing AI Strategies

    Module 3: Ethical, Bias, and Sustainability Issues in AI.

    1. 3.1 AI Ethics in Education Preview
    2. 3.2 Addressing AI Bias
    3. 3.3 AI and Environmental Sustainability

    Module 4: AI and Curriculum Integration.

    1. 4.1 Curriculum Planning with AI
    2. 4.2 Interactive AI Modules
    3. 4.3 AI in Student Assessment

    Module 5: AI for Administrative Efficiency.

    1. 5.1 Streamlining Operations
    2. 5.2 AI for Student Services
    3. 5.3 Data Management and Analysis

    Module 6: Data Literacy and AI.

    1. 6.1 Fundamentals of Data Literacy
    2. 6.2 Data Analysis in Education
    3. 6.3 Data-Driven Decision Making

    Module 7: AI-Enhanced Assessment and Feedback.

    1. 7.1 Revolutionizing Assessments
    2. 7.2 Automated Grading Systems
    3. 7.3 Personalized Learning Paths

    Module 8: AI Tools and Hands-on Experience.

    1. 8.1 Exploring AI Tools
    2. 8.2 Practical Exercises
    3. 8.3 Evaluating AI Tool Effectiveness

    Optional Module: AI Agents for Education.

    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

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