分析学生提示及其对 ChatGPT 成绩的影响

IF 1.5 Q2 EDUCATION & EDUCATIONAL RESEARCH

Cogent Education Pub Date : 2024-09-09 DOI:10.1080/2331186x.2024.2397200

Ghadeer Sawalha, Imran Taj, Abdulhadi Shoufan

引用次数: 0

摘要

大型语言模型为教学带来了新的机遇。然而，这些模型的反应准确性被认为取决于提示的质量，这对学生来说是一个挑战。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analyzing student prompts and their effect on ChatGPT’s performance

Large language models present new opportunities for teaching and learning. The response accuracy of these models, however, is believed to depend on the prompt quality which can be a challenge for s...

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来源期刊

Cogent Education EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

2.30

自引率

6.20%

发文量

197

审稿时长

12 weeks

期刊介绍： Part of the Taylor & Francis / Routledge Group, Cogent Education is a leading multidisciplinary open access journal, publishing high-quality, peer-reviewed articles across the breadth of educational research. All articles are free to access across the globe, allowing authors to share their research and maximise its impact. Cogent Education is led by Editor-in-Chief Professor John C.K. Lee (The Education University of Hong Kong), supported by an expert international Editorial Board. Our academic editors take an objective and constructive approach to peer review, ensuring each manuscript is evaluated on its own scholarly merits and research integrity. Article-level metrics let the research speak for itself. Cogent Education also presents collections that publish the latest studies on key topics and discussion within the education community based on research projects and conferences.