202209120958 Artificial intelligence in education: an exploration （AIED）

What this paper is about

This paper aims to address these questions in the course of a selective discussion of the research field of Artificial Intelligence in Education.

The conclusion will be that AIED may have a misleading name but is in fact a diverse and rich field, with many parallels with mainstream JCAL interests and much to offer the classroom and educational computing generally.

Another important early contribution was that of, who discussed the potential of including a computational model of the student’s current knowledge as a component in a tutoring system.

What you can learn

A more ambitious AIED approach would require a facility to track learner activities and to offer to the student those demos chosen by the system as likely to be most helpful to the student at that particular time.

The current aim, however, is to explore the educational potential of simply providing to teachers and students a learning environment enriched with the SAM facility to make and use demos.

AIED includes some formal AI research, and computer science expertise is important, but there is also much work with strong links to cognitive science, education and psychology.

这篇论文是关于什么的

本文旨在对教育中人工智能的研究领域进行选择性讨论，以解决这些问题。

结论是，AIED可能有一个误导性的名称，但实际上它是一个多样化和丰富的领域，与主流JCAL的兴趣有许多相似之处，并且为课堂和教育计算提供了很多东西。

另一个重要的早期贡献是，他讨论了将学生当前知识的计算模型作为辅导系统的一个组成部分的潜力。

你可以学到什么

更雄心勃勃的AIED方法需要一个设施来跟踪学习者的活动，并为学生提供系统选择的那些演示，这些演示可能在特定时间对学生最有帮助。

然而，目前的目标是探索教育潜力，只需为教师和学生提供一个充实了SAM设施的学习环境，以制作和使用演示。

AIED包括一些正式的AI研究，计算机科学专业知识很重要，但也有很多工作与认知科学，教育和心理学密切相关。
https://doi.org/10.1046/j.1365-2729.1998.1440251.x
[[Artificial Intelligence in Education (AIED)]]