This session will explore how AI can be leveraged to improve learning measurement. Specifically, the session will review AI applied to 1) text analysis, 2) data visualization, 3) predictive analytics, anomaly detection and cluster analysis, 4) data summarization and personalized reporting, and 5) real-time feedback. A broader understanding of AI will preface the specific discussion of its application to the field of learning measurement.
In this session you will learn the following objectives:
1. Introduce the concept of AI (artificial intelligence) in general terms.
2. Learn specific AI concepts that are applicable to L&D professionals.
3. Understand how to apply AI concepts to L&D measurement and evaluation.
Jeffrey Berk, COO, Performitiv
Performitiv is a learning impact optimization technology company. As COO Jeffrey helps shape the strategy and manages day-to-day operations. Jeffrey has been in the learning measurement field for nearly 20 years. He has co-authored 2 books on human capital analytics. He is an adjunct professor on performance measurement and process improvement in Chicago.
Additional Registration Details
IMPORTANT NOTE: Please register in advance.
HRCI and SHRM
This program may be eligible for self-certification for HRCI and SHRM recertification credits. You will need to keep records of the event and prepare any required paperwork. Visit the HRCI recertification webpage or the SHRM recertification webpage for more information.
Instructional Design, Technology Application, Evaluating Impact
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