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Chris Jellis – Research Matters, 2024
The Centre for Evaluation and Monitoring (CEM), based in the North of England, recently celebrated its 40th birthday. Arising from an evaluation project at Newcastle University, and a subsequent move to Durham University, it rapidly grew in scope and influence, developing a series of highly regarded school assessments. For a relatively small…
Descriptors: Educational Assessment, Foreign Countries, Computer Assisted Testing, Adaptive Testing
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David Eubanks; Scott A. Moore – Assessment Update, 2025
Assessment and institutional research offices have too much data and too little time. Standard reporting often crowds out opportunities for innovative research. Fortunately, advancements in data science now offer a clear solution. It is equal parts technique and philosophy. The first and easiest step is to modernize data work. This column…
Descriptors: Higher Education, Educational Assessment, Data Science, Research Methodology
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Sandra Camargo Salamanca; Maria Elena Oliveri; April L. Zenisky – International Journal of Testing, 2025
This article describes the 2022 "ITC/ATP Guidelines for Technology-Based Assessment" (TBA), a collaborative effort by the International Test Commission (ITC) and the Association of Test Publishers (ATP) to address digital assessment challenges. Developed by over 100 global experts, these "Guidelines" emphasize fairness,…
Descriptors: Guidelines, Standards, Technology Uses in Education, Computer Assisted Testing
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
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Yang Du; Susu Zhang – Journal of Educational and Behavioral Statistics, 2025
Item compromise has long posed challenges in educational measurement, jeopardizing both test validity and test security of continuous tests. Detecting compromised items is therefore crucial to address this concern. The present literature on compromised item detection reveals two notable gaps: First, the majority of existing methods are based upon…
Descriptors: Item Response Theory, Item Analysis, Bayesian Statistics, Educational Assessment
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Stadler, Matthias; Brandl, Laura; Greiff, Samuel – Journal of Computer Assisted Learning, 2023
Background: Over the last 20 years, educational large-scale assessments have undergone dramatic changes moving away from simple paper-pencil assessments to innovative, technology-based assessments. This comprehensive switch has led to some rather technical improvements such as identifying early guessing or improving standardization. Objectives: At…
Descriptors: Interaction, Measurement, Data Processing, Sustainability
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Tschaepe, Mark D. – Education and Culture, 2021
This essay examines contemporary digital educational assessment and argues that there are underlying problematic values and consequences entailed by the datafication of education as coupled with assessment practices. By applying Dewey's work concerning curriculum, aims, growth, and the conception of democracy through education to current methods,…
Descriptors: Data, Educational Technology, Educational Assessment, Progressive Education
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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
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National Assessment of Educational Progress (NAEP), 2023
The National Assessment of Educational Progress (NAEP) is an integral measure of academic progress across the nation and over time. It is the largest nationally representative and continuing assessment of what our nation's students know and can do in various subjects such as mathematics, reading, and science. The program also provides valuable…
Descriptors: School Districts, Educational Assessment, Grade 4, Grade 8
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Venie Gupitasari; Heri Retnawati – Journal of Education and Learning (EduLearn), 2024
Assessment is an important component of learning which aims to determine student achievement in learning. However, the pandemic has changed how assessment is carried out, prompting teachers to look for new strategies in carrying out mathematics learning assessments under any conditions, whether in normal conditions or during a pandemic. This study…
Descriptors: Foreign Countries, High School Teachers, Mathematics Teachers, Student Evaluation
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Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
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Caspari-Sadeghi, Sima – Journal of Educational Technology Systems, 2023
Intelligent assessment, the core of any AI-based educational technology, is defined as embedded, stealth and ubiquitous assessment which uses intelligent techniques to diagnose the current cognitive level, monitor dynamic progress, predict success and update students' profiling continuously. It also uses various technologies, such as learning…
Descriptors: Artificial Intelligence, Educational Technology, Computer Assisted Testing, Barriers
A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Grantee Submission, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality (AERA, APA, NCME, 2014). Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups (Chapelle, 2021; Xi,…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
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A. Corinne Huggins-Manley; Brandon M. Booth; Sidney K. D'Mello – Journal of Educational Measurement, 2022
The field of educational measurement places validity and fairness as central concepts of assessment quality. Prior research has proposed embedding fairness arguments within argument-based validity processes, particularly when fairness is conceived as comparability in assessment properties across groups. However, we argue that a more flexible…
Descriptors: Educational Assessment, Persuasive Discourse, Validity, Artificial Intelligence
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Bronwen Cowie – New Zealand Journal of Educational Studies, 2024
Assessment makes visible what we value and reciprocally what is assessed tends to become what is taken to be of value. Building on this, it can be argued that assessment does more than measure what is present rather it 'makes up' people. This piece offers a reflective commentary some of the insights to be gained from the Research Analysis and…
Descriptors: National Standards, Student Attitudes, Teacher Attitudes, Parent Attitudes
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