AI+ Learning & Development™

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