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Xiuxiu Tang; Yi Zheng; Tong Wu; Kit-Tai Hau; Hua-Hua Chang – Journal of Educational Measurement, 2025
Multistage adaptive testing (MST) has been recently adopted for international large-scale assessments such as Programme for International Student Assessment (PISA). MST offers improved measurement efficiency over traditional nonadaptive tests and improved practical convenience over single-item-adaptive computerized adaptive testing (CAT). As a…
Descriptors: Reaction Time, Test Items, Achievement Tests, Foreign Countries
Militsa G. Ivanova; Hanna Eklöf; Michalis P. Michaelides – Journal of Applied Testing Technology, 2025
Digital administration of assessments allows for the collection of process data indices, such as response time, which can serve as indicators of rapid-guessing and examinee test-taking effort. Setting a time threshold is essential to distinguish effortful from effortless behavior using item response times. Threshold identification methods may…
Descriptors: Test Items, Computer Assisted Testing, Reaction Time, Achievement Tests
Das, Bidyut; Majumder, Mukta; Phadikar, Santanu; Sekh, Arif Ahmed – Research and Practice in Technology Enhanced Learning, 2021
Learning through the internet becomes popular that facilitates learners to learn anything, anytime, anywhere from the web resources. Assessment is most important in any learning system. An assessment system can find the self-learning gaps of learners and improve the progress of learning. The manual question generation takes much time and labor.…
Descriptors: Automation, Test Items, Test Construction, Computer Assisted Testing
Seyma N. Yildirim-Erbasli; Okan Bulut – Journal of Applied Testing Technology, 2023
The purpose of this study was to develop predictive models of student test-taking engagement in computerized formative assessments. Using different machine learning algorithms, the models utilize student data with item responses and response time to detect aberrant test behaviors such as rapid guessing. The dataset consisted of 7,602 students…
Descriptors: Computer Assisted Testing, Formative Evaluation, Prediction, Models
Srikanth Allamsetty; M. V. S. S. Chandra; Neelima Madugula; Byamakesh Nayak – IEEE Transactions on Learning Technologies, 2024
The present study is related to the problem associated with student assessment with online examinations at higher educational institutes (HEIs). With the current COVID-19 outbreak, the majority of educational institutes are conducting online examinations to assess their students, where there would always be a chance that the students go for…
Descriptors: Computer Assisted Testing, Accountability, Higher Education, Comparative Analysis
Lae Lae Shwe; Sureena Matayong; Suntorn Witosurapot – Education and Information Technologies, 2024
Multiple Choice Questions (MCQs) are an important evaluation technique for both examinations and learning activities. However, the manual creation of questions is time-consuming and challenging for teachers. Hence, there is a notable demand for an Automatic Question Generation (AQG) system. Several systems have been created for this aim, but the…
Descriptors: Difficulty Level, Computer Assisted Testing, Adaptive Testing, Multiple Choice Tests
Achmad Rante Suparman; Eli Rohaeti; Sri Wening – Journal on Efficiency and Responsibility in Education and Science, 2024
This study focuses on developing a five-tier chemical diagnostic test based on a computer-based test with 11 assessment categories with an assessment score from 0 to 10. A total of 20 items produced were validated by education experts, material experts, measurement experts, and media experts, and an average index of the Aiken test > 0.70 was…
Descriptors: Chemistry, Diagnostic Tests, Computer Assisted Testing, Credits
Stefanie A. Wind; Beyza Aksu-Dunya – Applied Measurement in Education, 2024
Careless responding is a pervasive concern in research using affective surveys. Although researchers have considered various methods for identifying careless responses, studies are limited that consider the utility of these methods in the context of computer adaptive testing (CAT) for affective scales. Using a simulation study informed by recent…
Descriptors: Response Style (Tests), Computer Assisted Testing, Adaptive Testing, Affective Measures
Ally, Said – International Journal of Education and Development using Information and Communication Technology, 2022
Moodle software has become the heart of teaching and learning services in education. The software is viewed as a trusted modern platform for transforming learning and teaching modes from conventional face-to-face to fully online classes. However, its use for online examination is very limited despite having a state-of-the-art Quiz Module with…
Descriptors: Integrated Learning Systems, Computer Assisted Testing, Information Security, Evaluation Methods
van der Linden, Wim J. – Journal of Educational and Behavioral Statistics, 2022
Two independent statistical tests of item compromise are presented, one based on the test takers' responses and the other on their response times (RTs) on the same items. The tests can be used to monitor an item in real time during online continuous testing but are also applicable as part of post hoc forensic analysis. The two test statistics are…
Descriptors: Test Items, Item Analysis, Item Response Theory, Computer Assisted Testing
Gorgun, Guher; Bulut, Okan – Large-scale Assessments in Education, 2023
In low-stakes assessment settings, students' performance is not only influenced by students' ability level but also their test-taking engagement. In computerized adaptive tests (CATs), disengaged responses (e.g., rapid guesses) that fail to reflect students' true ability levels may lead to the selection of less informative items and thereby…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Algorithms
Baryktabasov, Kasym; Jumabaeva, Chinara; Brimkulov, Ulan – Research in Learning Technology, 2023
Many examinations with thousands of participating students are organized worldwide every year. Usually, this large number of students sit the exams simultaneously and answer almost the same set of questions. This method of learning assessment requires tremendous effort and resources to prepare the venues, print question books and organize the…
Descriptors: Information Technology, Computer Assisted Testing, Test Items, Adaptive Testing
Aybek, Eren Can – Journal of Applied Testing Technology, 2021
The study aims to introduce catIRT tools which facilitates researchers' Item Response Theory (IRT) and Computerized Adaptive Testing (CAT) simulations. catIRT tools provides an interface for mirt and catR packages through the shiny package in R. Through this interface, researchers can apply IRT calibration and CAT simulations although they do not…
Descriptors: Item Response Theory, Computer Assisted Testing, Simulation, Models
Sebastian Moncaleano – ProQuest LLC, 2021
The growth of computer-based testing over the last two decades has motivated the creation of innovative item formats. It is often argued that technology-enhanced items (TEIs) provide better measurement of test-takers' knowledge, skills, and abilities by increasing the authenticity of tasks presented to test-takers (Sireci & Zenisky, 2006).…
Descriptors: Computer Assisted Testing, Test Format, Test Items, Classification
Jila Niknejad; Margaret Bayer – International Journal of Mathematical Education in Science and Technology, 2025
In Spring 2020, the need for redesigning online assessments to preserve integrity became a priority to many educators. Many of us found methods to proctor examinations using Zoom and proctoring software. Such examinations pose their own issues. To reduce the technical difficulties and cost, many Zoom proctored examination sessions were shortened;…
Descriptors: Mathematics Instruction, Mathematics Tests, Computer Assisted Testing, Computer Software

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