导航文本迷宫:通过创新的GAI提示框架增强文本分析技能

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xuefan Li;Tingsong Li;Minjuan Wang;Sining Tao;Xiaoxu Zhou;Xiaoqing Wei;Naiqing Guan
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引用次数: 0

摘要

随着生成式人工智能(GAI)的快速发展,其在教育环境中的应用日益成为人们关注的焦点,特别是在提高学生的分析能力方面。本研究考察了ChatGPT提示框架在提高学生文本分析技能方面的有效性,特别是针对可读性、准确性、完整性、逻辑性和批判性思维。在加拿大的高中生中进行的这项研究评估了GAI提示框架如何显著影响学生分析反应的质量。结果显示,在可读性、准确性、完整性、逻辑性和批判性思维的所有五个方面都有显著的改善,特别是对于没有事先了解该主题的学生。然而,完整性和批判性思维的增强并不明显,这表明尽管ChatGPT框架基本上支持基本的分析技能,但其有效性取决于认知任务的复杂性和学生现有知识的程度。该研究强调了先进的GAI工具在现代教育环境中发挥的重要作用,促进了对学习材料的更深层次的参与,提高了学生的分析能力。它强调了整合这些技术以满足不同学习需求和认知挑战的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Navigating the Textual Maze: Enhancing Textual Analytical Skills Through an Innovative GAI Prompt Framework
With the rapid advancement of generative artificial intelligence (GAI), its application in educational settings has increasingly become a focal point, particularly in enhancing students’ analytical capabilities. This study examines the effectiveness of the ChatGPT prompt framework in improving text analysis skills among students, specifically targeting readability, accuracy, completeness, logicality, and critical thinking. Conducted among high school students in Canada, the research assesses how GAI prompt frameworks significantly affect the quality of students’ analytical responses. Results showed significant improvements in all five aspects of readability, accuracy, completeness, logicality, and critical thinking, especially for students with no prior knowledge of the topic. However, enhancements in completeness and critical thinking were less pronounced, suggesting that while the ChatGPT framework substantially supports basic analytical skills, its effectiveness varies depending on the complexity of cognitive tasks and the extent of students’ existing knowledge. The study underscores the significant role that advanced GAI tools can play in modern educational environments, promoting deeper engagement with learning materials and enhancing students’ analytical abilities. It highlights the necessity of integrating these technologies to cater to diverse learning needs and cognitive challenges.
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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