The Thomas A. Hazinski Faculty Development Workshop: From Chalk Talks to Chat Bots: Teaching Effectively, Ethically, and Critically for the AI Age – CME - 2024

Add to Calendar The Thomas A. Hazinski Faculty Development Workshop: From Chalk Talks to Chat Bots: Teaching Effectively, Ethically, and Critically for the AI Age – CME - 2024 4/5/2024 12:00:00 PM 4/5/2024 3:00:00 PM America/Chicago For More Details: https://vumc.cloud-cme.com/course/courseoverview?EID=92540 Description: “From Chalk Talks to Chat Bots: Teaching Effectively, Ethically, and Critically for the AI Age.” Workshop facilitated by Yaa Kumah-Crystal, Shane Stenner, and Chase Webber Seminar Overview: The goal of this workshop is to provide faculty with skills and resources to enhance learner engagement, self-assessment, and near-peer teaching by practically and ethically integrating AI-powered tools into their... Light Hall false MM/DD/YYYY


Friday, April 5, 2024, 12:00 PM - 3:00 PM, Light Hall, Nashville, TN


Specialties - Anesthesiology, Biochemistry, Biomedical Informatics, Biostatistics, Cardiac Surgery, Cell and Developmental Biology, Dermatology, Emergency Medicine, Health Policy, Hearing and Speech Sciences, Medicine, Molecular Physiology & Biophysics, Neurological Surgery, Neurology, Nursing, Nutrition, Obstetrics and Gynecology, Ophthalmology and Visual Sciences, Oral and Maxillofacial Surgery, Orthopaedic Surgery and Rehabilitation, Otolaryngology, Palliative Care, Pathology, Microbiology and Immunology, Pediatric Surgery, Pediatrics, Pharmacology, Pharmacy, Physical Medicine & Rehabilitation, Plastic Surgery, Psychiatry and Behavioral Sciences, Radiation Oncology, Radiology and Radiological Sciences, Section of Surgical Sciences, Social Work, Surgery, Thoracic Surgery, Urology


AMA PRA Category 1 Credits™ (3.00 hours), Non-Physician Attendance (3.00 hours)


“From Chalk Talks to Chat Bots: Teaching Effectively, Ethically, and Critically for the AI Age.” Workshop facilitated by Yaa Kumah-Crystal, Shane Stenner, and Chase Webber Seminar Overview: The goal of this workshop is to provide faculty with skills and resources to enhance learner engagement, self-assessment, and near-peer teaching by practically and ethically integrating AI-powered tools into their teaching. The rapid growth of artificial intelligence and generative technological tools promises to transform the learning and teaching experience. But with great promise comes potential peril…and a healthy dose of hype. Given the emergence, evolution, and widespread uptake of mainstream accessible AI tools, such as OpenAI’s ChatGPT, educators in all settings share understandable concerns regarding the implications of these technologies upon the learning environment. This session targets the development of a learning-theory grounded approach to help academic medical center professionals, including clinicians, educators, and interdisciplinary teams, promote an effective, ethical, and critically reflective practice, by teaching and working with (rather than against) AI. Seminar Highlights: Participants will engage in interactive exercises, discussions, and reflection in order to: • Gain an understanding of the foundational terms, components, and paradigms that make up the rapidly evolving landscape of artificial intelligence. • Describe the state of AI integration across the continuum of medical education and the science of learning • Compare and contrast distinctive human skills with AI capabilities and recommend learning-theory driven modifications to existing curricula (e.g., Bloom’s Taxonomy Revisited). • Describe the risks (ethical and human), benefits (learner and team), and potential future directions (how to apply it) of integrating AI-powered tools into classroom and clinical teaching. • Practice a theory grounded approach to frequently encountered challenges in education by using case studies and prompts.


Objectives
After participating in this educational activity, you should be able to:

  1. Gain an understanding of the foundational terms, components, and paradigms that make up the rapidly evolving landscape of artificial intelligence.
  2. Describe the state of AI integration across the continuum of medical education and the science of learning.
  3. Compare and contrast distinctive human skills with AI capabilities and recommend learning-theory driven modifications to existing curricula (e.g., Bloom’s Taxonomy Revisited).
  4. Describe the risks (ethical and human), benefits (learner and team), and potential future directions (how to apply it) of integrating AI-powered tools into classroom and clinical teaching.
  5. Practice a theory grounded approach to frequently encountered challenges in education by using case studies and prompts.


Vanderbilt University Medical Center is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Vanderbilt University Medical Center designates this live activity for a maximum 3.00 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.