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Che Lah, Noor Hidayah; Tasir, Zaidatun; Jumaat, Nurul Farhana – Educational Studies, 2023
The aim of the study was to evaluate the extended version of the Problem-Solving Inventory (PSI) via an online learning setting known as the Online Problem-Solving Inventory (OPSI) through the lens of Rasch Model analysis. To date, there is no extended version of the PSI for online settings even though many researchers have used it; thus, this…
Descriptors: Problem Solving, Measures (Individuals), Electronic Learning, Item Response Theory
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Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
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Ghio, Fernanda Belén; Bruzzone, Manuel; Rojas-Torres, Luis; Cupani, Marcos – European Journal of Science and Mathematics Education, 2022
In the last decades, the development of computerized adaptive testing (CAT) has allowed more precise measurements with a smaller number of items. In this study, we develop an item bank (IB) to generate the adaptive algorithm and simulate the functioning of CAT to assess the domains of mathematical knowledge in Argentinian university students…
Descriptors: Test Items, Item Banks, Adaptive Testing, Mathematics Tests
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Liu, Kai; Zhang, Longfei; Tu, Dongbo; Cai, Yan – SAGE Open, 2022
We aimed to develop an item bank of computerized adaptive testing for eating disorders (CAT-ED) in Chinese university students to increase measurement precision and improve test efficiency. A total of 1,025 Chinese undergraduate respondents answered a series of questions about eating disorders in a paper-pencil test. A total of 133 items from four…
Descriptors: Item Analysis, Eating Disorders, Computer Assisted Testing, Goodness of Fit
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Gorney, Kylie; Wollack, James A. – Practical Assessment, Research & Evaluation, 2022
Unlike the traditional multiple-choice (MC) format, the discrete-option multiple-choice (DOMC) format does not necessarily reveal all answer options to an examinee. The purpose of this study was to determine whether the reduced exposure of item content affects test security. We conducted an experiment in which participants were allowed to view…
Descriptors: Test Items, Test Format, Multiple Choice Tests, Item Analysis
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Fadillah, Sarah Meilani; Ha, Minsu; Nuraeni, Eni; Indriyanti, Nurma Yunita – Malaysian Journal of Learning and Instruction, 2023
Purpose: Researchers discovered that when students were given the opportunity to change their answers, a majority changed their responses from incorrect to correct, and this change often increased the overall test results. What prompts students to modify their answers? This study aims to examine the modification of scientific reasoning test, with…
Descriptors: Science Tests, Multiple Choice Tests, Test Items, Decision Making
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Koch, Marco; Spinath, Frank M.; Greiff, Samuel; Becker, Nicolas – Journal of Intelligence, 2022
Figural matrices tasks are one of the most prominent item formats used in intelligence tests, and their relevance for the assessment of cognitive abilities is unquestionable. However, despite endeavors of the open science movement to make scientific research accessible on all levels, there is a lack of royalty-free figural matrices tests. The Open…
Descriptors: Intelligence, Intelligence Tests, Computer Assisted Testing, Test Items
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Simsek, Irfan; Balaban, M. Erdal; Ergin, Hatice – Turkish Online Journal of Educational Technology - TOJET, 2019
With the Expert Examination System developed within the scope of this study, questions can be prepared in accordance with the measurement and evaluation criteria in education, which helps measure the students' actual knowledge levels effectively. It is possible to create exam forms by using these questions. The developed Special Examination System…
Descriptors: Computer Assisted Testing, Artificial Intelligence, Adaptive Testing, Item Response Theory
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Huang, Heng-Tsung Danny; Hung, Shao-Ting Alan; Chao, Hsiu-Yi; Chen, Jyun-Hong; Lin, Tsui-Peng; Shih, Ching-Lin – Language Assessment Quarterly, 2022
Prompted by Taiwanese university students' increasing demand for English proficiency assessment, the absence of a test designed specifically for this demographic subgroup, and the lack of a localized and freely-accessible proficiency measure, this project set out to develop and validate a computerized adaptive English proficiency testing (E-CAT)…
Descriptors: Computer Assisted Testing, English (Second Language), Second Language Learning, Second Language Instruction
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Sahin, Murat Dogan; Gelbal, Selahattin – International Journal of Assessment Tools in Education, 2020
The purpose of this study was to conduct a real-time multidimensional computerized adaptive test (MCAT) using data from a previous paper-pencil test (PPT) regarding the grammar and vocabulary dimensions of an end-of-term proficiency exam conducted on students in a preparatory class at a university. An item pool was established through four…
Descriptors: Adaptive Testing, Computer Assisted Testing, Language Tests, Language Proficiency
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Yasuda, Jun-ichiro; Mae, Naohiro; Hull, Michael M.; Taniguchi, Masa-aki – Physical Review Physics Education Research, 2021
As a method to shorten the test time of the Force Concept Inventory (FCI), we suggest the use of computerized adaptive testing (CAT). CAT is the process of administering a test on a computer, with items (i.e., questions) selected based upon the responses of the examinee to prior items. In so doing, the test length can be significantly shortened.…
Descriptors: Foreign Countries, College Students, Student Evaluation, Computer Assisted Testing
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He, Tung-hsien – SAGE Open, 2019
This study employed a mixed-design approach and the Many-Facet Rasch Measurement (MFRM) framework to investigate whether rater bias occurred between the onscreen scoring (OSS) mode and the paper-based scoring (PBS) mode. Nine human raters analytically marked scanned scripts and paper scripts using a six-category (i.e., six-criterion) rating…
Descriptors: Computer Assisted Testing, Scoring, Item Response Theory, Essays
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Kosan, Aysen Melek Aytug; Koç, Nizamettin; Elhan, Atilla Halil; Öztuna, Derya – International Journal of Assessment Tools in Education, 2019
Progress Test (PT) is a form of assessment that simultaneously measures ability levels of all students in a certain educational program and their progress over time by providing them with same questions and repeating the process at regular intervals with parallel tests. Our objective was to generate an item bank for the PT and to examine the…
Descriptors: Item Banks, Adaptive Testing, Computer Assisted Testing, Medical Education
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Conejo, Ricardo; Barros, Beatriz; Bertoa, Manuel F. – IEEE Transactions on Learning Technologies, 2019
This paper presents an innovative method to tackle the automatic evaluation of programming assignments with an approach based on well-founded assessment theories (Classical Test Theory (CTT) and Item Response Theory (IRT)) instead of heuristic assessment as in other systems. CTT and/or IRT are used to grade the results of different items of…
Descriptors: Computer Assisted Testing, Grading, Programming, Item Response Theory
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Küchemann, Stefan; Malone, Sarah; Edelsbrunner, Peter; Lichtenberger, Andreas; Stern, Elsbeth; Schumacher, Ralph; Brünken, Roland; Vaterlaus, Andreas; Kuhn, Jochen – Physical Review Physics Education Research, 2021
Representational competence is essential for the acquisition of conceptual understanding in physics. It enables the interpretation of diagrams, graphs, and mathematical equations, and relating these to one another as well as to observations and experimental outcomes. In this study, we present the initial validation of a newly developed…
Descriptors: Physics, Science Instruction, Teaching Methods, Concept Formation
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