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Leon Culbertson; Chris Lawton; Ian Robinson – Higher Education Quarterly, 2025
The paper outlines the history of the different uses of 'quality' in higher education. Emphasis is given to the United Kingdom, but consideration is also given to a range of international contexts. Three different uses of 'academic quality' are identified (the state-driven, sector-derived, and the traditional academic uses) and their relationship…
Descriptors: Educational Quality, Higher Education, Foreign Countries, Definitions
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Russell, Michael – Applied Measurement in Education, 2023
In recent years, issues of race, racism and social justice have garnered increased attention across the nation. Although some aspects of social justice, particularly cultural sensitivity and test bias, have received similar attention within the field of educational measurement, sharp focus of racism has alluded the field. This manuscript focuses…
Descriptors: Racism, Social Justice, Theories, Race
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Lederman, Josh – Applied Measurement in Education, 2023
Given its centrality to assessment, until the concept of validity includes concern for racial justice, such matters will be seen as residing outside the "real" work of validation, rendering them powerless to count against the apparent scientific merit of the test. As the definition of validity has evolved, however, it holds great…
Descriptors: Educational Assessment, Validity, Social Justice, Race
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Ercikan, Kadriye; McCaffrey, Daniel F. – Journal of Educational Measurement, 2022
Artificial-intelligence-based automated scoring is often an afterthought and is considered after assessments have been developed, resulting in nonoptimal possibility of implementing automated scoring solutions. In this article, we provide a review of Artificial intelligence (AI)-based methodologies for scoring in educational assessments. We then…
Descriptors: Artificial Intelligence, Automation, Scores, Educational Assessment
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Derek C. Briggs – Journal of Educational and Behavioral Statistics, 2024
I consider recent attempts to establish standards, principles, and goals for artificial intelligence (AI) through the lens of educational measurement. Distinctions are made between generative AI and AI-adjacent methods and applications of AI in formative versus summative assessment contexts. While expressing optimism about its possibilities, I…
Descriptors: Artificial Intelligence, Standard Setting, Standards, Measurement
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Nathan Dadey; Brian Gong; Yun-Kyung Kim; Edynn Sato – Educational Measurement: Issues and Practice, 2024
"Through-year assessments" are assessments that are administered in multiple parts and at different times over the course of a school year that also produce summative scores that can be used with state accountability systems (Lorié et al., 2021; Dadey & Gong, 2023). These assessments are alternatively known as instructionally…
Descriptors: Evaluation, Educational Assessment, Time Perspective, Summative Evaluation
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Daniel O'Neill – Journal of Vocational Education and Training, 2024
This paper looks at tensions arising in the educational thought of late antiquity from the conflict between assumptions regarding the low worth of practical knowledge and the contribution practical education can make to the wider purposes educational thinkers assigned to learning. Drawing on the educational writings of Augustine, Martianus…
Descriptors: Foundations of Education, Educational Principles, Practical Arts, Vocational Education
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Jiro Morioka – Educational Studies in Japan: International Yearbook, 2024
This paper focuses first on the issue of measuring education. When we consider "education and equity," we tend to quantify educational outcomes and compare these figures with others. While it is necessary to consider "equity" (or inequity) through comparisons with others, if we quantify the achievement of outcomes and evaluate…
Descriptors: Equal Education, Educational Assessment, Diversity, Governance
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Jia Zhu; Xiaodong Ma; Changqin Huang – IEEE Transactions on Learning Technologies, 2024
Knowledge tracing (KT) for evaluating students' knowledge is an essential task in personalized education. More and more researchers have devoted themselves to solving KT tasks, e.g., deep knowledge tracing (DKT), which can capture more sophisticated representations of student knowledge. Nonetheless, these techniques ignore the reconstruction of…
Descriptors: Teaching Methods, Knowledge Level, Algorithms, Attribution Theory
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Laura Peck; Haisheng Yang – Society for Research on Educational Effectiveness, 2024
Background/Context: The reckoning with racial injustice and growing inequality that have become hallmarks of the early 2020s in the United States has implications for impact analysis and the evidence it produced for public policy decision-making. Various researchers have highlighted the shortcomings that impact analyses have when estimating the…
Descriptors: Educational Policy, Policy Formation, Policy Analysis, Equal Education
Daniel Pettersson; Andreas Nordin – Routledge Research in Education Policy and Politics, 2023
This volume centres the notion of "chance" in education as a key concept in contemporary education -- relating to aspects like accountability, datafication, or international large-scale assessments -- and discusses the impact that the historical desire to "tame" this notion has had on present-day educational policy and…
Descriptors: Accountability, Data Use, Educational Assessment, Educational Policy
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Song, Yonghua; Du, Jianxia; Zhou, Mingming – On the Horizon, 2022
Purpose: The increasing societal requirement requests higher education institutions to be more responsive to socioeconomic needs and new governmental demands. This study aims to present a self-developed multidimensional quality assurance and assessment model for higher education institutions -- R.I.S.E model (relevance, impact, significance and…
Descriptors: Foreign Countries, Higher Education, Quality Assurance, Educational Assessment
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Ezgi Mor; Rabia Karatoprak Ersen – International Journal of Assessment Tools in Education, 2023
The argument-based approach is the current framework for validity and validation. One of the criticisms is that understanding and applying this approach to practice are complicated and require abstract thinking. Teachers or school administrators in teaching and learning need support in their validation practice. Due to the abstract structure of…
Descriptors: Educational Assessment, Student Evaluation, Test Validity, Psychometrics
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Chen, Xiaojun; Zhang, Ying; Wu, Wei; Luo, Yupeng; Shi, Yangming – International Journal of Technology in Teaching and Learning, 2022
This paper explores assessment approaches within the unique context of Extended Reality (XR) learning environments, which offer immersive and contextualized experiences. Focusing on STEM disciplines, the paper presents four distinctive XR-based assessment cases, exploring the discipline, context, purpose, and results of each. These insights aim to…
Descriptors: STEM Education, Evaluation Methods, Computer Simulation, Educational Environment
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Andrew D. Ho – Journal of Educational and Behavioral Statistics, 2024
I review opportunities and threats that widely accessible Artificial Intelligence (AI)-powered services present for educational statistics and measurement. Algorithmic and computational advances continue to improve approaches to item generation, scale maintenance, test security, test scoring, and score reporting. Predictable misuses of AI for…
Descriptors: Artificial Intelligence, Measurement, Educational Assessment, Technology Uses in Education
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