打开AI在教育领域的“黑匣子”
Unpacking the "Black Box" of AI in Education
摘要：
人工智能（AI）的最新进展引发了人们对其改善教育潜力的新兴趣。然而，人工智能是一个松散的总括术语，指的是方法、能力和限制的集合，其中许多通常没有被研究人员、教育技术公司或其他人工智能开发人员明确阐述。在本文中，我们试图澄清什么是“人工智能”，以及它在促进和阻碍可能改善人类状况的教育机会方面的潜力。我们对支撑人工智能的不同方法和哲学进行了基本介绍，讨论了最新进展，探索了教育应用，并强调了关键的限制和风险。最后，我们总结了教育工作者在研究和实践中遇到人工智能时可能会问的一系列问题。我们的希望是让人们能够使用术语和概念，以便所有人都能够理解、询问并最终塑造以人为本的人工智能在教育中的发展。
英文摘要：
Recent advances in Artificial Intelligence (AI) have sparked renewed interest in its potential to improve education. However, AI is a loose umbrella term that refers to a collection of methods, capabilities, and limitations-many of which are often not explicitly articulated by researchers, education technology companies, or other AI developers. In this paper, we seek to clarify what "AI" is and the potential it holds to both advance and hamper educational opportunities that may improve the human condition. We offer a basic introduction to different methods and philosophies underpinning AI, discuss recent advances, explore applications to education, and highlight key limitations and risks. We conclude with a set of questions that educationalists may ask as they encounter AI in their research and practice. Our hope is to make often jargon-laden terms and concepts accessible, so that all are equipped to understand, interrogate, and ultimately shape the development of human centered AI in education.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
