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Harold Doran; Testsuhiro Yamada; Ted Diaz; Emre Gonulates; Vanessa Culver – Journal of Educational Measurement, 2025
Computer adaptive testing (CAT) is an increasingly common mode of test administration offering improved test security, better measurement precision, and the potential for shorter testing experiences. This article presents a new item selection algorithm based on a generalized objective function to support multiple types of testing conditions and…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
Cleophas, Catherine; Hönnige, Christoph; Meisel, Frank; Meyer, Philipp – INFORMS Transactions on Education, 2023
As the COVID-19 pandemic motivated a shift to virtual teaching, exams have increasingly moved online too. Detecting cheating through collusion is not easy when tech-savvy students take online exams at home and on their own devices. Such online at-home exams may tempt students to collude and share materials and answers. However, online exams'…
Descriptors: Computer Assisted Testing, Cheating, Identification, Essay Tests
Jonathan Seiden – Annenberg Institute for School Reform at Brown University, 2025
Direct assessments of early childhood development (ECD) are a cornerstone of research in developmental psychology and are increasingly used to evaluate programs and policies in lower- and middle-income countries. Despite strong psychometric properties, these assessments are too expensive and time consuming for use in large-scale monitoring or…
Descriptors: Young Children, Child Development, Performance Based Assessment, Developmental Psychology
Yan Jin; Jason Fan – Language Assessment Quarterly, 2023
In language assessment, AI technology has been incorporated in task design, assessment delivery, automated scoring of performance-based tasks, score reporting, and provision of feedback. AI technology is also used for collecting and analyzing performance data in language assessment validation. Research has been conducted to investigate the…
Descriptors: Language Tests, Artificial Intelligence, Computer Assisted Testing, Test Format
Sonique Sailsman; Emma El-Shami – Quarterly Review of Distance Education, 2024
Nurse educators at the undergraduate level spend significant time developing and revising exam questions. Following the exam administration, course faculty have the opportunity to complete an item analysis and question revision to improve reliability and validity. A challenge faculty face is tracking these exam changes when teaching as part of a…
Descriptors: Nursing Education, Nursing Students, College Faculty, Test Construction
Wang, Wenhao; Kingston, Neal M.; Davis, Marcia H.; Tiemann, Gail C.; Tonks, Stephen; Hock, Michael – Educational Measurement: Issues and Practice, 2021
Adaptive tests are more efficient than fixed-length tests through the use of item response theory; adaptive tests also present students questions that are tailored to their proficiency level. Although the adaptive algorithm is straightforward, developing a multidimensional computer adaptive test (MCAT) measure is complex. Evidence-centered design…
Descriptors: Evidence Based Practice, Reading Motivation, Adaptive Testing, Computer Assisted Testing
Langenfeld, Thomas – Educational Measurement: Issues and Practice, 2020
The COVID-19 pandemic has accelerated the shift toward online learning solutions necessitating the need for developing online assessment solutions. Vendors offer online assessment delivery systems with varying security levels designed to minimize unauthorized behaviors. Combating cheating and securing assessment content, however, is not solely the…
Descriptors: Computer Assisted Testing, Justice, COVID-19, Pandemics
Kyeng Gea Lee; Mark J. Lee; Soo Jung Lee – International Journal of Technology in Education and Science, 2024
Online assessment is an essential part of online education, and if conducted properly, has been found to effectively gauge student learning. Generally, textbased questions have been the cornerstone of online assessment. Recently, however, the emergence of generative artificial intelligence has added a significant challenge to the integrity of…
Descriptors: Artificial Intelligence, Computer Software, Biology, Science Instruction
Aaron Glasgow; Gerald Tindal; Joseph F. T. Nese – Behavioral Research and Teaching, 2023
This technical report describes the development of oral reading fluency passages for use in the CBMSkills assessment system. Seventeen passages were created for each of Grades 1 through 5. Passages were designed to target the fluency component of a developmental model of reading. All passages were written with the specification to use language and…
Descriptors: Reading Fluency, Oral Reading, Reading Tests, Elementary School Students
Hoseana, Jonathan; Stepanus, Oriza; Octora, Elvina – International Journal of Mathematical Education in Science and Technology, 2023
As educational systems move from onsite to online due to the COVID-19 pandemic, teachers face the difficulty of designing online examination formats which minimize opportunities for dishonesty. In this paper, we expose our design of such a format: a protected Microsoft Excel spreadsheet containing short-answer questions, which was implemented in a…
Descriptors: Plagiarism, Calculus, Algebra, Computer Software
Bearman, Margaret; Nieminen, Juuso Henrik; Ajjawi, Rola – Assessment & Evaluation in Higher Education, 2023
E-assessment typically seeks to improve assessment designs through the use of innovative digital tools. However, the intersections between digital technologies and assessment can be seen as increasingly complex, particularly as the sociotechnical perspectives suggest assessment must be relevant to a digitally-mediated society. This paper presents…
Descriptors: Evaluation Methods, Computer Assisted Testing, Test Construction, Student Evaluation
Weir, Iain; Gwynllyw, Rhys; Henderson, Karen – Journal of University Teaching and Learning Practice, 2021
The need to be able to choose, perform and interpret the results from appropriate statistical tests is ubiquitous in many STEM disciplines and beyond. In this case study, we illustrate a learning and assessment approach that has been used successfully for first year Business School students taking a module on Business Decision Making for Marketing…
Descriptors: Case Studies, Computer Assisted Testing, Statistics Education, Student Evaluation
Kosh, Audra E. – Journal of Applied Testing Technology, 2021
In recent years, Automatic Item Generation (AIG) has increasingly shifted from theoretical research to operational implementation, a shift raising some unforeseen practical challenges. Specifically, generating high-quality answer choices presents several challenges such as ensuring that answer choices blend in nicely together for all possible item…
Descriptors: Test Items, Multiple Choice Tests, Decision Making, Test Construction
Maddox, Bryan – OECD Publishing, 2023
The digital transition in educational testing has introduced many new opportunities for technology to enhance large-scale assessments. These include the potential to collect and use log data on test-taker response processes routinely, and on a large scale. Process data has long been recognised as a valuable source of validation evidence in…
Descriptors: Measurement, Inferences, Test Reliability, Computer Assisted Testing
Thomas Bickerton, Robert; Sangwin, Chris J. – International Journal of Mathematical Education in Science and Technology, 2022
We discuss a practical method for assessing mathematical proof online. We examine the use of faded worked examples and reading comprehension questions to understand proof. By breaking down a given proof, we formulate a checklist that can be used to generate comprehension questions which can be assessed automatically online. We then provide some…
Descriptors: Mathematics Instruction, Validity, Mathematical Logic, Evaluation Methods