在基于能力的学习中增强人工智能和人类能力

Ashraf Mady, Bethany Niese
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引用次数: 0

摘要

教育和培训的性质在很大程度上由于技术的进步而发生了巨大的变化。这些进步要求学习者的技能组合发生变化。研究和历史表明,继续雇佣人才来填补知识空白和临时解决问题通常不足以跟上快速的创新和变化。这篇概念性论文提供了如何利用新兴人工智能技术在教育和培训方面的价值的创新概念。我们提出了一种在基于能力的学习环境中增强人工智能和人类能力的整体方法。我们认为,要成功创建基于人工智能的增强训练系统,必须考虑学习任务与人工智能技术以及人类-人工智能增强之间的契合度。这些领域将在基于能力的学习的具体背景下进行解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Augmenting AI and Human Capabilities in Competency-Based Learning
The nature of education and training have dramatically changed due in large part to the advancement of technology. These advancements require changes in the skillsets of the learner. Research and history have shown that continuing to hire talents to fill gaps of knowledge and ad-hoc fixes are not typically enough to keep up with rapid innovation and change. This conceptual paper provides an innovative conceptualization of how to capitalize on the value of emerging AI technologies for education and training. We propose a holistic approach to augment AI and human capabilities in a competency-based learning environment. We argue that to successfully create an AI-based augmented training system, the fit between the learning task and the AI technology as well as the human-AI augmentation must be considered. These areas are explained in the specific context of competency-based learning.
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