Integrating LLMs into the
Materials Chemistry Curriculum

Integrating LLMs into the Materials Chemistry Curriculum

February 12-13, 2023

Golden, Colorado

Overview: This two day NSF-sponsored workshop aims to explore and develop innovative ways to incorporate Large Language Models (LLMs, including GPT, ChatGPT, and Bard) into upper division chemistry laboratories and virtual lab experiences. During the workshop, participants will brainstorm and create demonstrations incorporating LLMs into the curriculum. These could include designing pre-labs, virtual lab activities, and lab reports. We will also discuss limitations and safety measures for its effective use in laboratory settings.

Participants: The event will bring together faculty, graduate students, and postdocs with disciplinary backgrounds that range across chemistry, materials science, physics and education, fostering collaborations and sharing expertise.  We will bring together:

  • chemists and materials scientists focused on education research
  • chemists and materials scientists with expertise in running upper division laboratories,
  • computer scientists with background in LLM development

Financial support: This workshop is supported by the NSF Solid State Materials Chemistry Program. There is no registration fee, and we anticipate being able to cover the majority of participant travel costs using NSF funding.

If you would like to attend this workshop, please apply here:
Applications are due by November 1, 2023.