Artificial Intelligence is at the heart of modern society with computers now capable of making process decisions in many spheres of human activity. In education, there has been intensive growth in systems that make formal and informal learning an anytime, anywhere activity for billions of people through online open educational resources and massive online open courses. Moreover, new developments in Artificial Intelligence-related educational assessment are attracting increasing interest as means of improving assessment efficacy and validity, with much attention focusing on the analysis of the large volumes of process data being captured from digital assessment contexts. In evaluating the state of play of Artificial Intelligence in formative and summative educational assessment, this paper offers a critical perspective on the two core applications: automated essay scoring systems and computerized adaptive tests, along with the Big Data analysis approaches to machine learning that underpin them.

中文翻译：

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教育评估中的人工智能：“突破？或者buncombe和ballyhoo？

人工智能是现代社会的核心，计算机现在能够在人类活动的许多领域做出流程决策。在教育领域，通过在线开放教育资源和海量在线开放课程，使正式和非正式学习成为数十亿人随时随地活动的系统得到了密集发展。此外，与人工智能相关的教育评估的新发展作为提高评估效率和有效性的手段正吸引着越来越多的兴趣，人们非常关注从数字评估环境中捕获的大量过程数据的分析。在评估人工智能在形成性和终结性教育评估中的作用时，本文提供了对两个核心应用的批判性观点：