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The Past, Present, and Future of Large‐Scale Assessment Consortia 大规模评估联盟的过去、现在和未来
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-09-11 DOI: 10.1111/emip.12634
Derek C. Briggs
This article provides a history of the two large‐scale assessment consortia that were funded in 2010 as part of the Race to the Top Competition, the Partnership for the Assessment of Readiness for College and Career (PARCC), and the Smarter‐Balanced Assessment Consortium (SBAC). I compare the goals the consortia were funded to meet between 2011 and 2015 with the assessment systems PARCC and SBAC were able to deliver. Two notable accomplishments of both consortia were the development of high‐quality summative assessments that were carefully designed to be accessible to all test‐takers. I describe factors that led many states to withdraw from consortia membership between 2011 and 2015, and which led to the effective dissolution of PARCC. I discuss lessons learned from serving on the PARCC and SBAC technical advisory committees, and make a case for the value proposition of assessment consortia in the future.
本文介绍了作为 "力争上游 "竞赛的一部分,于 2010 年获得资助的两个大型评估联盟--"大学与职业准备评估伙伴关系"(PARCC)和 "智能平衡评估联盟"(SBAC)--的历史。我将这两个联盟在 2011 年至 2015 年间获得资助以实现的目标与 PARCC 和 SBAC 能够提供的评估系统进行了比较。这两个联盟的两个显著成就是开发了高质量的终结性评估,并经过精心设计,使所有应试者都能使用。我描述了导致许多州在 2011 年至 2015 年间退出联盟的因素,以及导致 PARCC 有效解散的因素。我讨论了在 PARCC 和 SBAC 技术顾问委员会工作的经验教训,并为未来评估联盟的价值主张提出了理由。
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引用次数: 0
Commentary: Where Does Classroom Assessment Fit in Educational Measurement? 评论:课堂评估在教育测量中的地位?
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-26 DOI: 10.1111/emip.12626
Susan M. Brookhart
This article is a commentary on the Foundational Competencies in Educational Measurement (Ackerman et al., 2024, hereafter the FCs) through the lens of classroom assessment. I focus on the place of classroom assessment in the FCs and in NCME and educational measurement more broadly.
本文是通过课堂评估的视角对教育测量基础能力(Ackerman et al.我的重点是课堂评估在 FCs 中的地位,以及在 NCME 和更广泛的教育测量中的地位。
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引用次数: 0
Commentary: A Data‐Driven Analysis of Recent Job Posts to Evaluate the Foundational Competencies 评论:通过对近期招聘职位的数据分析来评估基础能力
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-24 DOI: 10.1111/emip.12630
Ying Cheng, Bo Pei, Audrey Filonczuk, Anh Thu Le
The Focal Article (Ackerman et al., 2023) provides a comprehensive framework and detailed guidelines to faculty, students, and measurement professionals. We used a data‐driven approach that examines recent job posts (including full‐time positions at academic institutions, nonprofit organizations, and for‐profit companies, as well as internship positions) to evaluate the match between the skills required by the jobs and the Foundational Competencies and provide summaries and recommendations thereof.
焦点文章》(Ackerman 等人,2023 年)为教师、学生和测量专业人员提供了一个全面的框架和详细的指南。我们采用了一种数据驱动的方法,对近期的工作岗位(包括学术机构、非营利组织和营利公司的全职岗位以及实习岗位)进行研究,以评估岗位所需的技能与基础能力之间的匹配度,并提供相关的总结和建议。
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引用次数: 0
Commentary: Past, Present, and Future of Educational Measurement 评论:教育测量的过去、现在和未来
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-23 DOI: 10.1111/emip.12632
Sergio Araneda, John Fremer, David Foster
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引用次数: 0
Commentary: How Research and Testing Companies can Support Early‐Career Measurement Professionals 评论:研究与测试公司如何为新入职的测量专业人员提供支持
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-16 DOI: 10.1111/emip.12631
Kamal Middlebrook, Laura S. Hamilton, Michael E. Walker
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引用次数: 0
Commentary: Modernizing Educational Assessment Training for Changing Job Markets 评论:教育评估培训现代化以适应不断变化的就业市场
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-14 DOI: 10.1111/emip.12629
André A. Rupp
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引用次数: 0
Foundational Competencies in Educational Measurement: A Rejoinder 教育测量的基本能力:再论
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-13 DOI: 10.1111/emip.12623
Andrew D. Ho, Terry A. Ackerman, Deborah L. Bandalos, Derek C. Briggs, Howard T. Everson, Susan M. Lottridge, Matthew J. Madison, Sandip Sinharay, Michael C. Rodriguez, Michael Russell, Alina A. von Davier, Stefanie A. Wind
What are foundational competencies in educational measurement? We published a framework for these foundational competencies in this journal (Ackerman et al.) and were grateful to receive eight commentaries raising a number of important questions about the framework and its implications. We identified five cross‐cutting recommendations among the eight commentaries relating to (1) our process and purpose, (2) Artificial Intelligence, (3) ethical competencies, (4) qualitative, critical, and culturally responsive commentaries, and (5) intersecting professions in, for example, classroom assessment and content development. In this rejoinder, we respond to these five recommendations and to each of the eight commentaries in turn. We hope that discussion and consensus about foundational competencies in educational measurement continue to advance in our journals and our field.
什么是教育测量的基本能力?我们在本刊上发表了这些基础能力的框架(阿克曼等人),并收到了八篇评论,对该框架及其影响提出了许多重要问题,对此我们深表感谢。我们在这八篇评论中发现了五项交叉建议,分别涉及:(1) 我们的过程和目的;(2) 人工智能;(3) 道德能力;(4) 定性、批判性和文化响应性评论;(5) 课堂评估和内容开发等交叉专业。在本复函中,我们将依次对这五项建议和八篇评论逐一作出回应。我们希望有关教育测量基础能力的讨论和共识能在我们的期刊和领域中继续推进。
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引用次数: 0
Commentary: Perspectives of Early Career Professionals on Enhancing Cultural Responsiveness in Educational Measurement 评论:职业生涯初期的专业人士对增强教育测量中的文化敏感性的看法
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-08-13 DOI: 10.1111/emip.12628
Dustin S. J. Van Orman, Janine A. Jackson, Thao T. Vo, Darius D. Taylor
The “Foundational Competencies in Educational Measurement” framework aims to shape the field's future. However, the absence of emerging scholars and graduate students in the task force highlights a gap in representing those most familiar with current educational landscape. As early career scholars, we offer perspectives to enhance this framework by focusing on making educational measurement more inclusive, collaborative, and culturally responsive. Drawing on our diverse backgrounds and experiences, we propose expanding the framework to empower measurement professionals, diversify measurement practices, and integrate ethical considerations. We also advocate for a new visual representation of the framework as a budding plant, symbolizing the organic and evolving nature of foundational skills in educational measurement. This commentary aims to refine the foundational competencies to better prepare future professionals for meaningful, equitable educational contributions.
教育测量基础能力 "框架旨在塑造该领域的未来。然而,特别工作组中没有新兴学者和研究生的参与,这凸显了在代表那些最熟悉当前教育状况的人方面存在的差距。作为职业生涯初期的学者,我们提出了一些观点,希望通过关注如何使教育测量更具包容性、协作性和文化响应性来完善这一框架。根据我们的不同背景和经验,我们建议扩展该框架,以增强测量专业人员的能力,使测量实践多样化,并纳入伦理考虑因素。我们还主张将该框架视觉化为一株含苞待放的植物,象征着教育测量基础技能的有机和不断发展的性质。本评论旨在完善基础能力,使未来的专业人员更好地为有意义的、公平的教育贡献做好准备。
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引用次数: 0
Improving Instructional Decision‐Making Using Diagnostic Classification Models 利用诊断分类模型改进教学决策
IF 2 4区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Pub Date : 2024-06-25 DOI: 10.1111/emip.12619
W. Jake Thompson, Amy K. Clark
In recent years, educators, administrators, policymakers, and measurement experts have called for assessments that support educators in making better instructional decisions. One promising approach to measurement to support instructional decision‐making is diagnostic classification models (DCMs). DCMs are flexible psychometric models that facilitate fine‐grained reporting on skills that students have mastered. In this article, we describe how DCMs can be leveraged to support better decision‐making. We first provide a high‐level overview of DCMs. We then describe different methods for reporting results from DCM‐based assessments that support decision‐making for different stakeholder groups. We close with a discussion of considerations for implementing DCMs in an operational setting, including how they can inform decision‐making at state and local levels, and share future directions for research.
近年来,教育工作者、管理者、政策制定者和测量专家都呼吁进行评估,以支持教 育者做出更好的教学决策。诊断分类模型(DCMs)是支持教学决策的一种很有前途的测量方法。诊断分类模型是一种灵活的心理测量模型,便于对学生掌握的技能进行精细报告。在本文中,我们将介绍如何利用 DCM 来支持更好的决策。首先,我们对 DCM 进行了高层次的概述。然后,我们介绍了报告基于 DCM 的评估结果的不同方法,以支持不同利益相关群体的决策。最后,我们讨论了在操作环境中实施 DCM 的注意事项,包括如何为州和地方层面的决策提供信息,并分享了未来的研究方向。
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引用次数: 0
On the Cover: Predicted Racial-Ethnic Composition of Educational Measurement Publications 封面:教育测量出版物的种族-民族构成预测
IF 2 4区 教育学 Q2 Social Sciences Pub Date : 2024-05-20 DOI: 10.1111/emip.12610
Yuan-Ling Liaw

 

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引用次数: 0
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