人工智能学习评估综述

Bahar Memarian, Tenzin Doleck
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引用次数: 0

摘要

经过改革的 "学习评估"(Assessment For Learning,AFL)是指设计能够提高学生学习效果的活动、评价和反馈过程。虽然人工智能(AI)已在教育领域蓬勃发展,但对 AFL 和 AI 之间的研究和挑战的研究却较少。我们进行了一次文献综述,以研究教育文献中有关 AFL 和 AI 的工作状况。通过对 Web of Science、SCOPUS 和 Google Scholar 中的文章进行综述,我们得出了 35 篇研究综述。我们分享了这些研究在研究设计、AFL 概念和人工智能挑战方面的趋势。我们提出了 AFL 和人工智能的影响以及未来研究的考虑因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A review of assessment for learning with artificial intelligence

The reformed Assessment For Learning (AFL) practices the design of activities and evaluation and feedback processes that improve student learning. While Artificial Intelligence (AI) has blossomed as a field in education, less work has been done to examine the studies and challenges reported between AFL and AI. We conduct a review of the literature to examine the state of work on AFL and AI in the education literature. A review of articles in Web of Science, SCOPUS, and Google Scholar yielded 35 studies for review. We share the trends in research design, AFL conceptions, and AI challenges in the reviewed studies. We offer the implications of AFL and AI and considerations for future research.

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