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ETS Research Institute, 2024
ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Educational Testing, Ethics
Treekom Prommaboon; Siriluck Boongthong; Prasong Tochot; Boontawee Imboonta; Prachit Intakanok; Veena Prachagool; Prasart Nuangchalerm – Journal of Education and Learning (EduLearn), 2024
This research employed a mixed-methods approach to explore the best practices of ordinary national educational testing (O-NET) to improve the quality of basic education. The methodology was divided into four phases, the first of which was a survey and analysis of the current situation at ONET. The sample group was made up of representatives of the…
Descriptors: Best Practices, Educational Testing, Standardized Tests, Educational Improvement
Sinharay, Sandip – Educational Measurement: Issues and Practice, 2021
Technical difficulties occasionally lead to missing item scores and hence to incomplete data on computerized tests. It is not straightforward to report scores to the examinees whose data are incomplete due to technical difficulties. Such reporting essentially involves imputation of missing scores. In this paper, a simulation study based on data…
Descriptors: Data Analysis, Scores, Educational Assessment, Educational Testing
Lim Hooi Lian; Wun Thiam Yew – International Journal of Assessment Tools in Education, 2023
The majority of students from elementary to tertiary levels have misunderstandings and challenges acquiring various statistical concepts and skills. However, the existing statistics assessment frameworks challenge practice in a classroom setting. The purpose of this research is to develop and validate a statistical thinking assessment tool…
Descriptors: Psychometrics, Grade 7, Middle School Mathematics, Statistics Education
Sainan Xu; Jing Lu; Jiwei Zhang; Chun Wang; Gongjun Xu – Grantee Submission, 2024
With the growing attention on large-scale educational testing and assessment, the ability to process substantial volumes of response data becomes crucial. Current estimation methods within item response theory (IRT), despite their high precision, often pose considerable computational burdens with large-scale data, leading to reduced computational…
Descriptors: Educational Assessment, Bayesian Statistics, Statistical Inference, Item Response Theory
Nisbet, Isabel; Shaw, Stuart D. – Assessment in Education: Principles, Policy & Practice, 2019
Fairness in assessment is seen as increasingly important but there is a need for greater clarity in use of the term 'fair'. Also, fairness is perceived through a range of 'lenses' reflecting different traditions of thought. The lens used determines how fairness is seen and described. This article distinguishes different uses of 'fair' which have…
Descriptors: Test Bias, Measurement, Theories, Educational Assessment
Berman, Amy I.; Haertel, Edward H.; Pellegrino, James W. – National Academy of Education, 2020
This National Academy of Education (NAEd) volume provides guidance to key stakeholders on how to accurately report and interpret comparability assertions concerning large-scale educational assessments as well as how to ensure greater comparability by paying close attention to key aspects of assessment design, content, and procedures. The goal of…
Descriptors: Educational Assessment, Educational Testing, Scores, Comparative Analysis
Cummings, Robert – Journal of University Teaching and Learning Practice, 2023
During the pandemic three widespread shifts in teaching cultures affected digital writing pedagogies: resilient teaching, open teaching, and inclusive teaching. Resilient teaching design emerged as a strategy to counter the unpredictability of public health policies on class delivery modes, and emphasised designing for maximising student…
Descriptors: Pandemics, COVID-19, Computer Assisted Instruction, Writing Instruction
Borsboom, Denny; Wijsen, Lisa D. – Assessment in Education: Principles, Policy & Practice, 2017
The central role of educational testing practices in contemporary societies can hardly be overstated. It is furthermore evident that psychometric models regulate, justify, and legitimize the processes through which educational testing practices are used. In this commentary, the authors offer some observations that may be relevant for the analyses…
Descriptors: Educational Assessment, Learning, Psychometrics, Power Structure
Sireci, Stephen G. – Assessment in Education: Principles, Policy & Practice, 2016
A misconception exists that validity may refer only to the "interpretation" of test scores and not to the "uses" of those scores. The development and evolution of validity theory illustrate test score interpretation was a primary focus in the earliest days of modern testing, and that validating interpretations derived from test…
Descriptors: Test Validity, Misconceptions, Evaluation Utilization, Data Interpretation
Quaigrain, Kennedy; Arhin, Ato Kwamina – Cogent Education, 2017
Item analysis is essential in improving items which will be used again in later tests; it can also be used to eliminate misleading items in a test. The study focused on item and test quality and explored the relationship between difficulty index (p-value) and discrimination index (DI) with distractor efficiency (DE). The study was conducted among…
Descriptors: Item Analysis, Teacher Developed Materials, Test Reliability, Educational Assessment
Bond, Lloyd – Measurement: Interdisciplinary Research and Perspectives, 2014
Lloyd Bond comments here on the Focus article in this issue of "Measurement: Interdisciplinary Research and Perspectives". The Focus article is entitled: "How Task Features Impact Evidence from Assessments Embedded in Simulations and Games" (Russell G. Almond, Yoon Jeon Kim, Gertrudes Velasquez, and Valerie J. Shute). Bond…
Descriptors: Educational Assessment, Task Analysis, Models, Design
Sparks, Sarah D. – Education Week, 2013
Emerging technology and research on learning have the potential to dramatically improve assessments, if educators and policymakers take a more balanced approach to using them. That's the conclusion of two years of analysis by the Gordon Commission on the Future of Assessment in Education, a panel of top education research and policy experts that…
Descriptors: Educational Assessment, Educational Testing, Academic Achievement, Accountability
Bennink, Margot; Croon, Marcel A.; Keuning, Jos; Vermunt, Jeroen K. – Journal of Educational and Behavioral Statistics, 2014
In educational measurement, responses of students on items are used not only to measure the ability of students, but also to evaluate and compare the performance of schools. Analysis should ideally account for the multilevel structure of the data, and school-level processes not related to ability, such as working climate and administration…
Descriptors: Academic Ability, Educational Assessment, Educational Testing, Test Bias
Informing in the Information Age: How to Communicate Measurement Concepts to Education Policy Makers
Sireci, Stephen G.; Forte, Ellen – Educational Measurement: Issues and Practice, 2012
Current educational policies rely on educational assessments. However, the technical aspects of assessments are often unknown to policy makers, which is dangerous because sound assessment policy requires knowledge of the strengths and limitations of educational tests. In this article, we discuss the importance of informing policy makers of…
Descriptors: Educational Assessment, Psychometrics, Educational Policy, Educational Testing