ETS Skills Taxonomy

Ou Lydia Liu, Harrison Kell, Kevin Williams, Guangming Ling, Micah Sanders
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Abstract

In an era driven by rapid technological advancements human skills are becoming ever more important. As millions of workers reskill and upskill to meet the challenges of the modern workforce, it’s critical they understand what skills are being emphasized by employers and pathways leading to skills acquisition. This paper reviews influential frameworks for essential workforce skills and proposes the ETS Skills Taxonomy 2025. The Taxonomy brings a broad set of cognitive, interpersonal, intrapersonal, digital, and lifelong learning skills with definition and assessment considerations. In particular, it highlights new skills such as sciential skills, remote work, and coachability as a new workforce is being jointly shaped by shifting skills requirements and societal needs that call for inclusion and agility.
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ETS 技能分类标准
在一个由快速技术进步驱动的时代,人的技能变得越来越重要。随着数以百万计的工人重新学习和提高技能以迎接现代劳动力的挑战,他们了解雇主强调的技能以及获得技能的途径至关重要。本文回顾了有影响力的基本劳动力技能框架,并提出了ETS技能分类2025。该分类法带来了一系列广泛的认知、人际、人际关系、数字和终身学习技能,并考虑了定义和评估。它特别强调了科学技能、远程工作和可指导性等新技能,因为不断变化的技能要求和要求包容性和灵活性的社会需求正在共同塑造新的劳动力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Non-Parametric CD-CAT Item Selection Strategy and Termination Rules Based on Binary Search Algorithm 基于二分搜索算法构建的非参数CD-CAT选题策略及终止规则 An Efficient Non-parametric Item Selection Method for Polytomous Scoring CD-CAT ETS Skills Taxonomy 一种高效的且适用于多级计分CD-CAT非参数选题方法
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