AI+ Learning & Development™

AI-Enhanced Learning: Where Knowledge Meets Innovation
  • Education Innovation: Designed for educators and trainers to leverage AI in learning
  • Deep Insights: Includes ML, NLP, Data Analytics, and adaptive learning strategies
  • Capstone Delivery: Build AI-powered learning solutions tailored to diverse needs
  • Ethical Education: Address ethics, data-driven instruction, and emerging trends

 

Módulos

  • Course Overview:
    1. Course Introduction Preview
  • Module 1: Introduction to Artificial Intelligence (AI) in Education:
    1. 1.1 Overview of Artificial Intelligence
    2. 1.2 AI’s Role in Education and Training
    3. 1.3 Impact of AI on Educational Content Creation
    4. 1.4 AI in Assessment and Feedback
    5. 1.5 Ethical Considerations and Challenges
  • Module 2: Machine Learning Fundamentals:
    1. 2.1 Introduction to Machine Learning
    2. 2.2 Supervised Learning
    3. 2.3 Unsupervised Learning
    4. 2.4 Reinforcement Learning
    5. 2.5 Machine Learning in Practice
  • Module 3: Natural Language Processing (NLP) for Educational Content:
    1. 3.1 Fundamentals of NLP in Education
    2. 3.2 Content Analysis and Enhancement
    3. 3.3 Personalized Learning and Adaptive Content
    4. 3.4 Assessment and Feedback Automation
  • Module 4: AI-Driven Content Creation and Curation:
    1. 4.1 AI in Generating Educational Content
    2. 4.2 Adaptive Learning Materials Creation
    3. 4.3 Dynamic Assessment Item Generation
    4. 4.4 Curating Educational Resources
    5. 4.5 Challenges and Ethical Considerations in AI-Driven Content
  • Module 5: Adaptive Learning Systems:
    1. 5.1 Foundations of Adaptive Learning
    2. 5.2 Designing Adaptive Learning Systems
    3. 5.3 Implementation Strategies
    4. 5.4 Assessment and Evaluation in Adaptive Systems
    5. 5.5 Ethical and Privacy Considerations
  • Module 6: Ethics and Bias in AI for L&D:
    1. 6.1 Understanding AI Ethics in L&D
    2. 6.2 Privacy Concerns in AI-Driven L&D
    3. 6.3 Bias and Fairness in AI Assessments
    4. 6.4 Ethical AI Use and Learner Engagement
    5. 6.5 Future Challenges and Opportunities
  • Module 7: Emerging Technologies and Future Trends:
    1. 7.1 Augmented Reality (AR) in Education
    2. 7.2 Virtual Reality (VR) in Learning Environments
    3. 7.3 AI-Driven Personalized Learning
    4. 7.4 Blockchain in Education
    5. 7.5 Emerging AI Technologies in Educational Research and Development
  • Module 8: Implementation and Best Practices:
    1. 8.1 Strategic Planning for AI Integration
    2. 8.2 Selecting the Right AI Tools
    3. 8.3 Implementing AI Solutions
    4. 8.4 Monitoring and Evaluating Impact
    5. 8.5 Ethical Use and Data Governance
  • Optional Module: AI Agents for Learning & Development:
    1. 1. Understanding AI Agents
    2. 2. Case Studies
    3. 3. Hands-On Practice with AI Agents

Herramientas de IA

  • LinkedIn Learning
  • EdCast
  • Synthesia
  • FairSight
  • 360Learning
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