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Hwanggyu Lim; Kyung T. Han – Educational Measurement: Issues and Practice, 2024
Computerized adaptive testing (CAT) has gained deserved popularity in the administration of educational and professional assessments, but continues to face test security challenges. To ensure sustained quality assurance and testing integrity, it is imperative to establish and maintain multiple stable item pools that are consistent in terms of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
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Musa Adekunle Ayanwale; Mdutshekelwa Ndlovu – Journal of Pedagogical Research, 2024
The COVID-19 pandemic has had a significant impact on high-stakes testing, including the national benchmark tests in South Africa. Current linear testing formats have been criticized for their limitations, leading to a shift towards Computerized Adaptive Testing [CAT]. Assessments with CAT are more precise and take less time. Evaluation of CAT…
Descriptors: Adaptive Testing, Benchmarking, National Competency Tests, Computer Assisted Testing
Hong Jiao, Editor; Robert W. Lissitz, Editor – IAP - Information Age Publishing, Inc., 2024
With the exponential increase of digital assessment, different types of data in addition to item responses become available in the measurement process. One of the salient features in digital assessment is that process data can be easily collected. This non-conventional structured or unstructured data source may bring new perspectives to better…
Descriptors: Artificial Intelligence, Natural Language Processing, Psychometrics, Computer Assisted Testing
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Shin, Jinnie; Gierl, Mark J. – International Journal of Testing, 2022
Over the last five years, tremendous strides have been made in advancing the AIG methodology required to produce items in diverse content areas. However, the one content area where enormous problems remain unsolved is language arts, generally, and reading comprehension, more specifically. While reading comprehension test items can be created using…
Descriptors: Reading Comprehension, Test Construction, Test Items, Natural Language Processing
Alexander James Kwako – ProQuest LLC, 2023
Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and…
Descriptors: Gender Bias, Natural Language Processing, Native Language, Computational Linguistics
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Patra, Rakesh; Saha, Sujan Kumar – Education and Information Technologies, 2019
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly popular in the last two decades. Despite a large amount of research effort, system generated MCQs are…
Descriptors: Multiple Choice Tests, High Stakes Tests, Semantics, Evaluation Methods
Jing Lu; Chun Wang; Jiwei Zhang; Xue Wang – Grantee Submission, 2023
Changepoints are abrupt variations in a sequence of data in statistical inference. In educational and psychological assessments, it is pivotal to properly differentiate examinees' aberrant behaviors from solution behavior to ensure test reliability and validity. In this paper, we propose a sequential Bayesian changepoint detection algorithm to…
Descriptors: Bayesian Statistics, Behavior Patterns, Computer Assisted Testing, Accuracy
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Tsaousis, Ioannis; Sideridis, Georgios D.; AlGhamdi, Hannan M. – Journal of Psychoeducational Assessment, 2021
This study evaluated the psychometric quality of a computerized adaptive testing (CAT) version of the general cognitive ability test (GCAT), using a simulation study protocol put forth by Han, K. T. (2018a). For the needs of the analysis, three different sets of items were generated, providing an item pool of 165 items. Before evaluating the…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Cognitive Ability
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Munoz, Albert; Mackay, Jonathon – Journal of University Teaching and Learning Practice, 2019
Online testing is a popular practice for tertiary educators, largely owing to efficiency in automation, scalability, and capability to add depth and breadth to subject offerings. As with all assessments, designs need to consider whether student cheating may be inadvertently made easier and more difficult to detect. Cheating can jeopardise the…
Descriptors: Cheating, Test Construction, Computer Assisted Testing, Classification
Carroll, Ian A. – ProQuest LLC, 2017
Item exposure control is, relative to adaptive testing, a nascent concept that has emerged only in the last two to three decades on an academic basis as a practical issue in high-stakes computerized adaptive tests. This study aims to implement a new strategy in item exposure control by incorporating the standard error of the ability estimate into…
Descriptors: Test Items, Computer Assisted Testing, Selection, Adaptive Testing
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Lim, Hyojung – Language Testing in Asia, 2020
The current study aims to explore the cognitive validity of the iBT TOEFL reading test by investigating test takers' eye movements on individual items. It is assumed that successful test takers would adopt the intended reading processes, the same types and levels of cognitive processes that they would use for real-world reading tasks. Forty-seven…
Descriptors: Test Validity, High Stakes Tests, Second Language Learning, Language Tests
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Akbay, Tuncer; Akbay, Lokman; Erol, Osman – Malaysian Online Journal of Educational Technology, 2021
Integration of e-learning and computerized assessments into many levels of educational programs has been increasing as digital technology progresses. Due to a handful of prominent advantages of computer-based-testing (CBT), a rapid transition in test administration mode from paper-based-testing (PBT) to CBT has emerged. Recently, many national and…
Descriptors: Computer Assisted Testing, Testing, High Stakes Tests, International Assessment
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Zhu, Xuelian; Aryadoust, Vahid – Computer Assisted Language Learning, 2022
A fundamental requirement of language assessments which is underresearched in computerized assessments is impartiality (fairness) or equal treatment of test takers regardless of background. The present study aimed to evaluate fairness in the Pearson Test of English (PTE) Academic Reading test, which is a computerized reading assessment, by…
Descriptors: Computer Assisted Testing, Language Tests, Native Language, Culture Fair Tests
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Toker, Deniz – TESL-EJ, 2019
The central purpose of this paper is to examine validity problems arising from the multiple-choice items and technical passages in the Test of English as a Foreign Language Internet-based Test (TOEFL iBT) reading section, primarily concentrating on construct-irrelevant variance (Messick, 1989). My personal TOEFL iBT experience, along with my…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Computer Assisted Testing
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Lee, Yi-Hsuan; Haberman, Shelby J. – International Journal of Testing, 2016
The use of computer-based assessments makes the collection of detailed data that capture examinees' progress in the tests and time spent on individual actions possible. This article presents a study using process and timing data to aid understanding of an international language assessment and the examinees. Issues regarding test-taking strategies,…
Descriptors: Computer Assisted Testing, Test Wiseness, Language Tests, International Assessment
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