AI literacy and its implications for prompt engineering strategies
University of Kassel · University of St.Gallen
Abstract
Artificial intelligence technologies are rapidly advancing. As part of this development, large language models (LLMs) are increasingly being used when humans interact with systems based on artificial intelligence (AI), posing both new opportunities and challenges. When interacting with LLM-based AI system in a goal-directed manner, prompt engineering has evolved as a skill of formulating precise and well-structured instructions to elicit desired responses or information from the LLM, optimizing the effectiveness of the interaction. However, research on the perspectives of non-experts using LLM-based AI systems through prompt engineering and on how AI literacy affects prompting behavior is lacking. This aspect…
Citation impact
- FWCI
- 83.08
- Percentile
- 100%
- References
- 104
Authors
4Topics & keywords
- Quality (philosophy)
- Generative grammar
- Literacy
- Context (archaeology)
- Curriculum
- Computer science
- Artificial intelligence
- Adaptation (eye)
- Quality Education