Hands-On AI Learning Lab featuring Articulate - Special Session

  • November 14, 2024
  • 7:00 PM - 8:00 PM
  • Zoom

Registration


Registration is closed


About the Hands-On AI Learning Lab

The Hands-On AI Learning Lab is a monthly, guided exploration of technology tools with a focus on their AI capabilities. Each session spotlights a specific software and provides learners the opportunity to delve into its distinct AI features through hands-on exploration. The lab will also foster discussions on how these tools can be effectively used across workplace contexts, particularly for Learning & Development professionals.


**Our November lab - (Free for Discover ATD participants)- will feature Articulate AI!



Who Should Attend?

Anyone interested in AI tools and how they can impact ways of working, performance gaps, and designing effective instruction.


Our November lab will feature Articulate!

About Articulate

Articulate AI is a newer feature within the Articulate suite. It is designed to enhance the content creation process for learning designers. Articulate AI leverages AI capabilities to assist in generating text, summarizing information, and improving the overall efficiency of designing learning materials. With Articulate Ai, you can automatically generate a course outline from a file or text, knowledge checks, quizzes, and images, and text blocks that pull content directly from text or file.



Mary serves as the Vice President of Technology for ATD Central Mass. She is completing an M.A. in Educational Technology Leadership from George Washington University and holds an additional M.A. in Teaching English to Speakers of Other Languages from Teachers College, Columbia University. With extensive experience managing diverse learning and development projects in the northeast, as well as Russia, Pakistan, Kazakhstan, Azerbaijan, and Germany, Mary’s interests encompass project management, adult learning, educational technology, task authenticity, learning transfer, competency-based learning, and culturally responsive practices. She is particularly passionate about adapting learning design, instruction, and technology to enhance cultural relevance for target audience as well as implementing small moves to address performance gaps.

Capability Model - Technology Application, Lifelong Learning, Future Readiness


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