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.
Who Should Attend?
Anyone interested in AI tools and how they can impact ways of working, performance gaps, and designing effective instruction.
Our December lab will feature NotebookLM!
About NotebookLM
NotebookLM is an AI-powered notebook designed to help you turn complex information into actionable insights. It acts like a virtual research assistant, summarizing documents, answering questions, and generating new ideas based on the sources you upload, such as Google Docs. With NotebookLM, you can learn complex information more easily. You can also create automatic summaries, ask specific questions about your uploaded content to gain a better understanding, and brainstorm ways to extend application of the content - like video scripts, stakeholder questions, and more.
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
