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AI Applications in L&D Measurement and Analytics

Categories Learning & Development

What I will learn?

  • How to implement Generative AI tools for enhanced data collection, assessment, and feedback in Learning and Development programs
  • Techniques for using AI to track learning progress, evaluate effectiveness, and calculate ROI of learning initiatives
  • Strategies for leveraging AI to provide personalized learning recommendations and conduct advanced skill gap analyses
  • Methods for creating AI-generated visual reports and dashboards for more effective Learning and Development data visualization and reporting
  • Ethical considerations and best practices for integrating AI into existing Learning and Development processes, including change management strategies

Course Curriculum

Module 1: Introduction to Generative AI in L&D Measurement and Analytics

  • Overview of Generative AI and its importance in L&D
  • Key Generative AI tools for L&D (e.g., GPT-3, GlaM, LaMDA)
  • Potential applications in L&D measurement and analytics
  • Quiz: Module 1: Introduction to Generative AI in L&D Measurement and Analytics

Module 2: Data Collection Strategies using Generative AI

Module 3: Learning Assessment and Feedback

Module 4: Learning Progress Tracking

Module 5: Learning Effectiveness Evaluation

Module 6: AI-Powered Recommendations for Learning Improvement

Module 7: Learning ROI Analysis with AI

Module 8: Advanced Skill Gap Analysis

Module 9: Data Visualization and Reporting in L&D

Module 10: Implementing Generative AI in L&D Measurement and Analytics

Join Institute
Free
Free access this course
  • Last Updated
    04/28/2025
  • Enrollment validity
    Enrollment validity: Lifetime
  • Certificate
    Certificate of completion

BE SURE TO CHECK OUT THE RELATED RESOURCES FOR THIS COURSE

  • Tool: Generative AI / Learning Effectiveness Evaluation Matrix (Module 5 / Lesson 1)
  • Tool: Generative AI / Continuous Improvement Cycle for AI in Learning and Development (Module 6 / Lesson 4)
  • Tool: Generative AI / Change Management Plan for AI Adoption in Learning and Development (Module 10 / Lesson 2)
  • Tool: AI Ethics in Learning and Development Checklist (Module 10 / Lesson 3)
  • How to Balance Short- and Long- Term Priorities for Learning and Development Teams (Strategy Brief)
  • Needs Analysis Essentials: Designing Training Programs that Drive Results (Strategy Brief)
  • Turkcell: Addressing Cybersecurity Demand (Case Study)

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About Course

This self-paced course is designed for Learning and Development (L&D) professionals who want to harness the power of Generative AI to enhance measurement and analytics in their L&D initiatives. Over 10 comprehensive modules, learners will explore how Generative AI can revolutionize data collection, assessment, progress tracking, and effectiveness evaluation in learning programs. From AI-powered recommendations to advanced skill gap analysis, this course covers both the theoretical foundations and practical applications of AI in L&D analytics, preparing professionals to leverage these cutting-edge tools to drive more data-informed, effective, and personalized learning experiences in their organizations.

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