Â鶹ԭ´´ Center for Teaching, Research and Learning Calendar /calendar en-us Wed, Oct 30 2:30 PM: Demystifying AI and Large Language Models (LLMs): Prompt Engineering and Strategies for Teaching and Research In this workshop led by CTRL's AI in Teaching & Research Faculty Fellow Derrick Cogburn (Professor, KSB | Information Technology & Analytics /SIS | Environment, Development & Health) you will build your knowledge of artificial intelligence by exploring large language models, and the machine learning and deep learning techniques and technologies that drive them. We will then introduce you to the concept of the transformer which in 2017 led to the development of the Generative Pre-trained Transformers (GPT) that fuel ChatGPT and similar GenAI tools. We will introduce you to a range of GenAI tools that enable you to harness the power of these LLMs via a graphical user interface (GUI), including NotebookLM, AI Studio, LearnLM, and the better known chatbots such as Claude, Copilot, and ChatGPT. The workshop includes an interactive hands-on workshop to develop and practice effective prompts for you to get the most out of diverse GenAI tools. Register at https://myau.american.edu/dept/provost/CTRL/eventportal/SitePages/Artificial%20Intelligence%20in%20Teaching%20Registration%20Portal.aspx /calendar/?id=4364290 Tue, 24 Sep 2024 20:52:08 EST Wed, Nov 6 11:30 AM: Artificial Intelligence in Teaching & Research Coffee Chat Join us for this informal meeting with the intention to create a space for faculty and staff to come together to ask questions, share experiences, and brainstorm strategies on the ways in which Artificial Intelligence impacts your teaching, research, and other work. /calendar/?id=4364814 Wed, 25 Sep 2024 10:53:54 EST Wed, Nov 13 2:00 PM: So Your Colleague Is a Chatbot: Preparing Students for AI in the Workforce This workshop led by CTRL's AI in Teaching & Research Faculty Fellow Jennifer Steele (Professor, School of Education) prepares faculty to grapple with the implications of generative artificial intelligence (AI) for our students’ future careers. What do the data tell us about which jobs are most vulnerable to AI, which are least vulnerable, and which skills should we cultivate in our classrooms? And how might problem-based learning mitigate the inequitable effects of AI and prepare students to confront the urgent problems of the 21st century? This workshop will include a presentation of new research on these questions. In addition, participants will discuss and share assignment and grading ideas that prepare our students for the 21st century workforce we want to see. Register at https://myau.american.edu/dept/provost/CTRL/eventportal/SitePages/Artificial%20Intelligence%20in%20Teaching%20Registration%20Portal.aspx /calendar/?id=4364292 Tue, 24 Sep 2024 20:54:12 EST