Introduction Unit 1: Needs Assessment
Introduction to AI in Learning and Development
Definition of AI and its Core Principles
Evolution of AI in the L&D Landscape
Benefits of AI in Improving Learning Outcomes
Challenges and Limitations of AI in L&D
AI Technologies in Learning and Development
Future Trends and Opportunities
Knowledge Check: Needs Assessment 1
Definition and Importance of Needs Assessments in L&D
Steps Involved in Conducting a AI Needs Assessment
Overview of AI Technologies Used for Needs Assessments
Comparison of Traditional Needs Assessment Methods with AI-Driven Approaches
Hands-on Experience with AI Tools
Knowledge Check: Needs Assessment Steps
Best Practices for Collecting Data in Needs Assessments
Data Analysis Techniques for Identifying Learning Needs
Interpreting Insights from AI-Generated Reports
Knoweldge Check: Data Collection
Basics of Data Analysis for L&D
Leveraging AI Algorithms for Data Interpretation
Knoweldge Check: Decision Making
Understanding Ethical Considerations in AI-driven Learning and Development (L&D)
Data Privacy Concerns
Ensuring Inclusivity and Accessibility
Balancing Innovation with Ethical Responsibility
Knowledge Check: Ethics
Introduction Unit 2: Analysis
Understanding AI in Learning and Development
Steps to Adapt AI in Learning and Development Analysis
Analysis Next Steps
Knowledge Check: Analysis
