Generative AI Prompt Basics
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ID: 323747
2026
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Abstract
The final part introduces the principles of prompt engineering for generative AI. It explains how to construct effective prompts, refine them through iteration, and apply techniques ethically in academic contexts. Key elements that improve response quality are identified, along with strategies for adapting prompts to different learning situations. Mastery of these basics enhances the ability to guide AI tools toward useful outputs while maintaining academic integrity. Effective prompting is presented as a practical skill that supports purposeful and responsible AI use in study and professional practice.
| Reference Key |
openalex_W7172385307
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|---|---|
| Authors | Dr. Anand Rao, Stefan Bauschard |
| Journal | Oxford University Press eBooks |
| Year | 2026 |
| DOI |
10.1093/hepl/9780197921845.003.0005
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| URL | |
| Keywords | Keywords not found |
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