Worked Examples to Facilitate the Development of Prompt Engineering Skills
Journal
Thirty-Second European Conference on Information Systems (ECIS 2024)
Type
conference paper
Date Issued
2024
Author(s)
Research Team
IWI6
Abstract
This paper explores the evolving field of prompt engineering in Artificial Intelligence (AI), with a focus on Large Language Models (LLMs). As LLMs exhibit remarkable potential in various educational domains, their effective use requires adept prompt engineering skills. We introduce a skill-based approach to prompt engineering and explicitly investigate the impact of using worked examples to facilitate prompt engineering skills among students interacting with LLMs. We propose hypotheses linking prompt engineering, worked examples, and perceived anthropomorphism to the quality of LLM output. Our initial findings support the critical relationship between proficient prompt engineering and the resulting output quality of LLMs. Subsequent phases will further explore the role of worked examples in prompt engineering, aiming to provide practical recommendations for educational improvement and industry application. Additionally, this research aims to shed light on the responsible utilization of LLMs in education and contribute insights to educational practice, research, and organizational development.
Language
English
Keywords
Large Language Model
Prompt Engineering
Worked Examples
AI Interaction
Education
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Paphos, Cyprus
Pages
8
Event Title
Thirty-Second European Conference on Information Systems (ECIS 2024)
Event Location
Paphos, Cyprus
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
JML_967.pdf
Size
168.91 KB
Format
Adobe PDF
Checksum (MD5)
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