How to develop competencies related to generative AI?

Using generative AI requires understanding its assumptions and how it works, as well as the ability to "communicate" by creating appropriate prompts. Below is a list of sources that can be helpful in deepening knowledge and developing competences in this area.

DELab UW materials:

• Conversations between dr. hab. Katarzyna Śledziewska, prof. and Michał Paliński about generative AI on the Artificial Intelligence-Driven Education playlist (possibility to turn on subtitles in English):

  • 01: Large Language Models Overview
  • 02: Large language models
  • 03: Prompting Basics
  • 04: Playground at ChatGPT
  • 05: API in ChatGPT
  • 06: How will AI impact universities?

• Dr. Wojciech Hardy's report on the use of generative AI in education.

• Presentation about AI by dr hab. Katarzyna Śledziewska, prof., dr Wojciech Hardy, Łukasz Nawaro and dr Justyna Godlewska-Szyrkowa on AI at the university

Other materials:

• Mollick, E., Mollick, L. (2023). Using AI to Implement Effective Teaching Strategies in Classrooms: Five Strategies, Including Prompts

• Mollick, E., Mollick, L. (2023) Assigning AI: Seven Approaches for Students, with Prompts

• Mollick, E., Mollick, L. (2023). Student Use Cases for AI: Start by Sharing These Guidelines with Your Class

• Duff, A. (2024). Gen AI Workshop. Hands on with Generative AI

• Moorhouse, B. L., Yeo, M. A., & Wan, Y. (2023). Generative AI tools and assessment: Guidelines of the world’s top-ranking universities.

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