학술논문

Unleashing ChatGPT's Power: A Case Study on Optimizing Information Retrieval in Flipped Classrooms via Prompt Engineering
Document Type
Periodical
Source
IEEE Transactions on Learning Technologies IEEE Trans. Learning Technol. Learning Technologies, IEEE Transactions on. 17:629-641 2024
Subject
Computing and Processing
General Topics for Engineers
Chatbots
Artificial intelligence
Task analysis
Online services
Electronic learning
Transformers
Oral communication
Chat generative pretrained transformer (ChatGPT)
flipped classrooms
information retrieval
prompt engineering
Language
ISSN
1939-1382
2372-0050
Abstract
This research project investigates the impact of prompt engineering, a key aspect of chat generative pretrained transformer (ChatGPT), on college students' information retrieval in flipped classrooms. In recent years, an increasing number of students have been using AI-based tools, such as ChatGPT rather than traditional research engines to learn and to complete course assignments. Despite this growing trend, previous research has largely overlooked the influence of prompt engineering on students' use of ChatGPT and effective strategies for improving the quality of information retrieval in learning settings. To address this research gap, this study examines the information quality obtained from ChatGPT in a flipped classroom by evaluating its effectiveness in task completion among 26 novice undergraduates from the same major and cohort. The experimental results provide evidence that proficient mastery of prompt engineering improves the quality of information obtained by students using ChatGPT. Consequently, by acquiring proficiency in prompt engineering, students can maximize the positive impact of ChatGPT, obtain high-quality information, and enhance their learning efficiency in flipped classrooms.