Data management of AI-powered education technologies: Challenges and opportunities

Hassan Khosravi, Shazia Sadiq, S. Amer-Yahia
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引用次数: 1

Abstract

The use of AI-powered educational technologies (AI-EdTech) offers a range of advantages to students, instructors, and educational institutions. While much has been achieved, several challenges in managing the data underpinning AI-EdTech are limiting progress in the field. This paper outlines some of these challenges and argues that data management research has the potential to provide solutions that can enable responsible and effective learner-supporting, teacher-supporting, and institution-supporting AI-EdTech. Our hope is to establish a common ground for collaboration and to foster partnerships among educational experts, AI developers and data management researchers to effectively respond to the rapidly evolving global educational landscape and drive the development of AI-EdTech.
人工智能教育技术的数据管理:挑战与机遇
人工智能教育技术(AI-EdTech)的使用为学生、教师和教育机构提供了一系列优势。虽然已经取得了很大的成就,但在管理支持AI-EdTech的数据方面的一些挑战限制了该领域的进展。本文概述了其中的一些挑战,并认为数据管理研究有可能提供解决方案,使负责任和有效的学习者支持、教师支持和机构支持AI-EdTech成为可能。我们希望在教育专家、人工智能开发人员和数据管理研究人员之间建立合作的共同基础,促进伙伴关系,以有效应对快速变化的全球教育格局,推动人工智能教育技术的发展。
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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