Developing Generative AI Fluency
Digital fluency is the ability to leverage technology to create new knowledge, and address new challenges and problems through critical thinking, complex problem solving, and social intelligence (Educause, 2018). By integrating Generative AI into learning and teaching, you support digital literacy development within students.
In the context of Generative AI, developing fluency can happen across four stages:
1. Awareness of Tools
Identify key tools and their potential uses.
2. Understanding Functionality
Understand how Natural Language Processing and Large Language Models work in a general sense.
3. Creating and Evaluating Output
- Develop effective prompting skills that yields effective, useful output.
- Identify the impact of the trained data set on generated output (e.g. bias, incorrect results, limited scope of responses)
4. Influencing and Resisting Output
Challenge the bias by providing feedback or changing strategy for use.
Adapted from Durham College: Developing Generative Literacy