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Hongwen Guo; Matthew S. Johnson; Luis Saldivia; Michelle Worthington; Kadriye Ercikan – ETS Research Institute, 2025
ETS scientists developed a human-centered AI (HAI) framework that combines data on how students interact with assessments--such as task navigation and time spent--with their performance, providing deeper insights into student performance in large-scale assessments.
Descriptors: Artificial Intelligence, Student Evaluation, Evaluation Methods, Measurement
Yi-Ling Wu; Yao-Hsuan Huang; Chia-Wen Chen; Po-Hsi Chen – Journal of Educational Measurement, 2025
Multistage testing (MST), a variant of computerized adaptive testing (CAT), differs from conventional CAT in that it is adapted at the module level rather than at the individual item level. Typically, all examinees begin the MST with a linear test form in the first stage, commonly known as the routing stage. In 2020, Han introduced an innovative…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Measurement
Kylie Gorney; Mark D. Reckase – Journal of Educational Measurement, 2025
In computerized adaptive testing, item exposure control methods are often used to provide a more balanced usage of the item pool. Many of the most popular methods, including the restricted method (Revuelta and Ponsoda), use a single maximum exposure rate to limit the proportion of times that each item is administered. However, Barrada et al.…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
Pan, Yiqin; Livne, Oren; Wollack, James A.; Sinharay, Sandip – Educational Measurement: Issues and Practice, 2023
In computerized adaptive testing, overexposure of items in the bank is a serious problem and might result in item compromise. We develop an item selection algorithm that utilizes the entire bank well and reduces the overexposure of items. The algorithm is based on collaborative filtering and selects an item in two stages. In the first stage, a set…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
Mark L. Davison; David J. Weiss; Joseph N. DeWeese; Ozge Ersan; Gina Biancarosa; Patrick C. Kennedy – Journal of Educational and Behavioral Statistics, 2023
A tree model for diagnostic educational testing is described along with Monte Carlo simulations designed to evaluate measurement accuracy based on the model. The model is implemented in an assessment of inferential reading comprehension, the Multiple-Choice Online Causal Comprehension Assessment (MOCCA), through a sequential, multidimensional,…
Descriptors: Cognitive Processes, Diagnostic Tests, Measurement, Accuracy
Meijuan Li; Hongyun Liu; Mengfei Cai; Jianlin Yuan – Education and Information Technologies, 2024
In the human-to-human Collaborative Problem Solving (CPS) test, students' problem-solving process reflects the interdependency among partners. The high interdependency in CPS makes it very sensitive to group composition. For example, the group outcome might be driven by a highly competent group member, so it does not reflect all the individual…
Descriptors: Problem Solving, Computer Assisted Testing, Cooperative Learning, Task Analysis
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
William Belzak; J. R. Lockwood; Yigal Attali – Educational Measurement: Issues and Practice, 2024
Remote proctoring, or monitoring test takers through internet-based, video-recording software, has become critical for maintaining test security on high-stakes assessments. The main role of remote proctors is to make judgments about test takers' behaviors and decide whether these behaviors constitute rule violations. Variability in proctor…
Descriptors: Computer Security, High Stakes Tests, English (Second Language), Second Language Learning
Nikola Ebenbeck; Markus Gebhardt – Journal of Special Education Technology, 2024
Technologies that enable individualization for students have significant potential in special education. Computerized Adaptive Testing (CAT) refers to digital assessments that automatically adjust their difficulty level based on students' abilities, allowing for personalized, efficient, and accurate measurement. This article examines whether CAT…
Descriptors: Computer Assisted Testing, Students with Disabilities, Special Education, Grade 3
Chen, Dandan – Online Submission, 2023
Technology-driven shifts have created opportunities to improve efficiency and quality of assessments. Meanwhile, they may have exacerbated underlying socioeconomic issues in relation to educational equity. The increased implementation of technology-based assessments during the COVID-19 pandemic compounds the concern about the digital divide, as…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Alternative Assessment, Test Format
Saerys-Foy, Jeffrey E.; LoCasto, Paul C.; Burn, David; Ferranti, Daniella – Discourse Processes: A Multidisciplinary Journal, 2022
According to theories of validation, people routinely check incoming information against prior knowledge during comprehension. On these theories, information is validated if it fits with prior knowledge. Some researchers argue that information needs to be successfully validated before being incorporated into the situation model. We report five…
Descriptors: Fantasy, Reading Rate, Prior Learning, Reading Comprehension
Lenz, A. Stephen; Ault, Haley; Balkin, Richard S.; Barrio Minton, Casey; Erford, Bradley T.; Hays, Danica G.; Kim, Bryan S. K.; Li, Chi – Measurement and Evaluation in Counseling and Development, 2022
In April 2021, The Association for Assessment and Research in Counseling Executive Council commissioned a time-referenced task group to revise the Responsibilities of Users of Standardized Tests (RUST) Statement (3rd edition) published by the Association for Assessment in Counseling (AAC) in 2003. The task group developed a work plan to implement…
Descriptors: Responsibility, Standardized Tests, Counselor Training, Ethics
Clements, Douglas H.; Sarama, Julie; Tatsuoka, Curtis; Banse, Holland; Tatsuoka, Kikumi – Journal of Research in Childhood Education, 2022
We report on an innovative computer-adaptive assessment, the Comprehensive Research-based Early Math Ability Test (CREMAT), using the case of 1st- and 2nd-graders' understanding of geometric measurement. CREMAT was developed with multiple aims in mind, including: (1) be administered with a reasonable number of items, (2) identify the level(s) of…
Descriptors: Cognitive Tests, Diagnostic Tests, Adaptive Testing, Computer Assisted Testing
Joakim Landahl – Learning, Media and Technology, 2024
This article explores the history of digital testing technology. Using an organisation that pioneered the use of international large-scale assessments -- the International Association for the Evaluation of Educational Achievement (IEA) -- I discuss the role of computers, punched cards, answer cards and scanning machines as an example of…
Descriptors: Educational History, Measurement, Testing, Computer Assisted Testing
Yasuda, Jun-ichiro; Hull, Michael M.; Mae, Naohiro – Physical Review Physics Education Research, 2022
This paper presents improvements made to a computerized adaptive testing (CAT)-based version of the FCI (FCI-CAT) in regards to test security and test efficiency. First, we will discuss measures to enhance test security by controlling for item overexposure, decreasing the risk that respondents may (i) memorize the content of a pretest for use on…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Items, Risk Management
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