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Workshop on Les Contes du Mariage: Should AI Stay Married to Ed?

机译:婚礼故事的研讨会:AI应该嫁给艾德吗?

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At its origin, the field of Artificial Intelligence in Education (AIEd) aimed to employ Artificial Intelligence techniques in the design of computer systems for learning. The 25th anniversary of the IJAIEd is a good opportunity to interrogate the aims and aspirations of the field, its past and current achievements, while the AIED conference constitutes a timely forum for such an interrogation. This workshop explores questions such as: 1. What is and what should be the role of AI in Education and conversely of Education in AI? Specifically, in the early days of AIED there seemed to be lots of AI in AIED, but now AI is more often a placeholder for any kind of advanced technology. 2. What is and what should be the motivation of AIEd as a field? Supporting learning has been considered a great "challenge domain" for AI in that many of the big AI questions must be answered, at least to some extent, to build a sophisticated learning environment. But, it seems that the ideas generated in AIED are neither influencing AI nor Education in any serious way. Why not? 3. What is and what should be the balance of respective contributions to AIED from AI and Education as distinct fields of research and practice? Both fields have well-established methodologies and practices, but the extent to which these are cross-fertilising under AIED is not clear. 4. A related question relates to the extent to which the results of AIEd research are meaningful to real educational practices? Does the community even care? 5. What are the future directions for the field that could justify and maintain its unique identity? How does AIED differ from related disciplines such as Learning Sciences, ITS, and CSCL? Or are these just labels for essentially the same research discipline?
机译:在其起源,教育人工智能领域(AIED)旨在在学习计算机系统设计中使用人工智能技术。 IJAIED 25周年是询问该领域的目标和愿望,过去和当前成就的良机,而Aied会议构成了这种审讯的及时论坛。这个研讨会探讨了以下问题:1。什么是AI在教育中的作用以及在AI的教育中的作用?具体而言,在Aied的早期,似乎有很多AI,但现在AI更频繁是任何类型的先进技术的占位符。 2.如何以及作为一个领域AIED的动机是什么?支持学习被认为是一个很好的“挑战域”,因为它必须至少在某种程度上回答许多大AI问题,以建立复杂的学习环境。但是,似乎在AIED中产生的想法既不是以任何认真的方式影响AI和教育。为什么不? 3.从AI和教育AIED作为截然不同的研究和实践领域,如何以及如何缴纳的余额这两个领域都有完善的方法和实践,但这些田间在Aied下的交叉肥料的程度尚不清楚。 4.相关问题涉及AID研究结果对真正教育实践有意义的程度?社区均匀关心吗? 5.该领域的未来方向是什么,可以证明和保持其独特的身份? Aied如何与学习科学等相关学科不同?或者这些只是标签基本上是相同的研究学科?

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