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在教育中借助(而非源自)人工智能进行学习的潜力。

The potential of learning with (and not from) artificial intelligence in education.

作者信息

Chichekian Tanya, Benteux Bérenger

机构信息

Faculty of Education, Université de Sherbrooke, Longueuil, QC, Canada.

出版信息

Front Artif Intell. 2022 Sep 13;5:903051. doi: 10.3389/frai.2022.903051. eCollection 2022.

Abstract

AI-powered technologies are increasingly being developed for educational purposes to contribute to students' academic performance and overall better learning outcomes. This exploratory review uses the PRISMA approach to describe how the effectiveness of AI-driven technologies is being measured, as well as the roles attributed to teachers, and the theoretical and practical contributions derived from the interventions. Findings from 48 articles highlighted that learning outcomes were more aligned with the optimization of AI systems, mostly nested in a computer science perspective, and did not consider teachers in an active role in the research. Most studies proved to be atheoretical and practical contributions were limited to enhancing the design of the AI system. We discuss the importance of developing complementary research designs for AI-powered tools to be integrated optimally into education.

摘要

为了提高学生的学业成绩并实现整体更好的学习成果,越来越多的人工智能技术被开发用于教育目的。本探索性综述采用PRISMA方法,描述了如何衡量人工智能驱动技术的有效性,以及教师所扮演的角色,以及这些干预措施所产生的理论和实践贡献。48篇文章的研究结果表明,学习成果与人工智能系统的优化更为相关,这些优化大多基于计算机科学视角,且未考虑教师在研究中的积极作用。大多数研究被证明缺乏理论依据,实践贡献仅限于改进人工智能系统的设计。我们讨论了开发互补性研究设计的重要性,以便将人工智能工具最佳地整合到教育中。

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