Collaborative Human–AI Research Practices: Identifying Critical Touchpoints for Human Intervention in Educational Research

IF 2.9 3区教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

IEEE Transactions on Learning Technologies Pub Date : 2025-07-10 DOI:10.1109/TLT.2025.3587488

Ecem Kopuz;Galip Kartal

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引用次数: 0

Abstract

This study investigates how educational researchers integrate artificial intelligence (AI) tools into their workflows, with a focus on balancing automation and human judgment. The study, which provides a mixed method approach with a survey and interview questions, utilized an international sample of 65 educational research fields. The findings reveal that AI-supported tools help reduce the burden while carrying out research processes, so that more time can be spent on basic and innovative activities. In addition, ethical and practical guidelines have emerged on how to optimize human–AI collaboration. It has been determined which tools researchers use and how. This study attempts to explain how AI can be effectively integrated with human intelligence. Considering this, it emphasizes the need to create strong policies and standards on the use of AI, to raise awareness of users about technology use, and to ensure that ethical practices are observed. This article offers a roadmap outlining which AI tools can be used and in what ways. It also makes significant contributions to the literature in this field by emphasizing the indispensable importance of human intervention in intelligence-supported education research.

查看原文本刊更多论文

人机协作研究实践：确定教育研究中人类干预的关键接触点

本研究探讨了教育研究人员如何将人工智能（AI）工具整合到他们的工作流程中，重点是平衡自动化和人类判断。该研究采用调查和访谈问题的混合方法，利用了65个教育研究领域的国际样本。研究结果显示，人工智能支持的工具有助于减轻开展研究过程的负担，从而将更多时间花在基础和创新活动上。此外，关于如何优化人类与人工智能协作的道德和实践指导方针已经出现。研究人员使用哪些工具以及如何使用已经确定。这项研究试图解释人工智能如何有效地与人类智能相结合。考虑到这一点，它强调需要制定强有力的人工智能使用政策和标准，提高用户对技术使用的认识，并确保遵守道德规范。本文提供了一个路线图，概述了可以使用哪些AI工具以及以何种方式使用。它还通过强调人类干预在智力支持教育研究中不可或缺的重要性，对这一领域的文献做出了重大贡献。

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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来源期刊

IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-

CiteScore

7.50

自引率

5.40%

发文量

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.