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Justin Jihao Hong; Victor Lei; Xuan Li – Annenberg Institute for School Reform at Brown University, 2025
High-stakes exams are often administered at designated test centers, requiring many students to test in unfamiliar environments. We investigate whether such arrangements impact students' test performance and, by extension, access to educational opportunities. Using unique administrative data from China's national college entrance examination…
Descriptors: Test Wiseness, Testing, High Stakes Tests, College Entrance Examinations
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Berna Kiliç; Mahmut Selvi – International Journal of Assessment Tools in Education, 2025
It is important to determine the level of pedagogical content knowledge of teachers regarding skills. The aim of this study is to establish the theoretical framework of skill-specific pedagogical content knowledge and to develop a reliable and valid scale to measure teachers' entrepreneurship pedagogical content knowledge. The draft scale form was…
Descriptors: Entrepreneurship, Pedagogical Content Knowledge, Teacher Competency Testing, Test Reliability
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Hon Keung Yau; Choi Ho Man – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores Hong Kong higher education students' perceptions of E-assessment systems, focusing on factors shaping acceptance of E-examinations over traditional formats. Quantitative analysis of 107 respondents reveals significant positive correlations between diverse pre-exam guidance (e.g., tutorials) and key system features (e.g.,…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Assisted Testing
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Natia Afriana Suri; Festiyed; Minda Azhar; Yerimadesi; Yuni Ahda; Heffi Alberida – Research in Learning Technology, 2025
Digital literacy is a critical competency in education across all levels, from primary to higher education. It includes skills such as technical proficiency, information evaluation, online collaboration, creativity and ethical technology use. This study conducts a Systematic Literature Review (SLR), following Preferred Reporting Items for…
Descriptors: Digital Literacy, Measures (Individuals), Core Competencies, Testing Problems
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van Groen, Maaike M.; Eggen, Theo J. H. M. – Journal of Applied Testing Technology, 2020
When developing a digital test, one of the first decisions that need to be made is which type of Computer-Based Test (CBT) to develop. Six different CBT types are considered here: linear tests, automatically generated tests, computerized adaptive tests, adaptive learning environments, educational simulations, and educational games. The selection…
Descriptors: Computer Assisted Testing, Formative Evaluation, Summative Evaluation, Adaptive Testing
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Kárász, Judit T.; Széll, Krisztián; Takács, Szabolcs – Quality Assurance in Education: An International Perspective, 2023
Purpose: Based on the general formula, which depends on the length and difficulty of the test, the number of respondents and the number of ability levels, this study aims to provide a closed formula for the adaptive tests with medium difficulty (probability of solution is p = 1/2) to determine the accuracy of the parameters for each item and in…
Descriptors: Test Length, Probability, Comparative Analysis, Difficulty Level
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Dembitzer, Leah; Kettler, Ryan J. – Assessment for Effective Intervention, 2023
To investigate the impact of universal testing accommodations on a computer-based reading comprehension test, accessibility, reliability, and validity were evaluated. Tests with and without accommodations were administered to 131 twelfth-grade students in three U.S. schools. Scores on Curriculum-Based Measurement probes determined groups of…
Descriptors: Access to Education, Testing Accommodations, Reading Comprehension, Reading Tests
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Kang, Yewon; Ha, Hyorim; Lee, Hee Seung – Educational Psychology Review, 2023
Natural category learning is important in science education. One strategy that has been empirically supported for enhancing category learning is testing, which facilitates not only the learning of previously studied information (backward testing effect) but also the learning of newly studied information (forward testing effect). However, in…
Descriptors: Science Education, Science Tests, Testing, Classification
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Kim, Rae Yeong; Yoo, Yun Joo – Journal of Educational Measurement, 2023
In cognitive diagnostic models (CDMs), a set of fine-grained attributes is required to characterize complex problem solving and provide detailed diagnostic information about an examinee. However, it is challenging to ensure reliable estimation and control computational complexity when The test aims to identify the examinee's attribute profile in a…
Descriptors: Models, Diagnostic Tests, Adaptive Testing, Accuracy
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Grochowalski, Joseph H.; Hendrickson, Amy – Journal of Educational Measurement, 2023
Test takers wishing to gain an unfair advantage often share answers with other test takers, either sharing all answers (a full key) or some (a partial key). Detecting key sharing during a tight testing window requires an efficient, easily interpretable, and rich form of analysis that is descriptive and inferential. We introduce a detection method…
Descriptors: Identification, Cooperative Learning, Cheating, Statistical Analysis
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Sinharay, Sandip – Journal of Educational Measurement, 2023
Technical difficulties and other unforeseen events occasionally lead to incomplete data on educational tests, which necessitates the reporting of imputed scores to some examinees. While there exist several approaches for reporting imputed scores, there is a lack of any guidance on the reporting of the uncertainty of imputed scores. In this paper,…
Descriptors: Evaluation Methods, Scores, Standardized Tests, Simulation
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Widaman, Keith F. – Educational and Psychological Measurement, 2023
The import or force of the result of a statistical test has long been portrayed as consistent with deductive reasoning. The simplest form of deductive argument has a first premise with conditional form, such as p[right arrow]q, which means that "if p is true, then q must be true." Given the first premise, one can either affirm or deny…
Descriptors: Hypothesis Testing, Statistical Analysis, Logical Thinking, Probability
Leon Katcharian – ProQuest LLC, 2023
Remotely proctored online examinations proliferate in academic and corporate learning environments (Grajek, 2020). Remote (virtual) proctoring allows organizations to efficiently offer tests globally while reducing the costs of proctored testing generally associated with traditional paper-and-pencil and computer-based testing center examinations.…
Descriptors: Computer Assisted Testing, Supervision, Distance Education, Information Security
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Chen, Jennifer J.; Perez, ChareMone' – Childhood Education, 2023
Assessment holds the key to unlocking for the teacher a child's past (what he already knows), present (what he is learning), and future (what he still needs to learn) to inform teaching. Despite the benefits of assessment for informing teaching practice and enhancing student learning, it remains one of the most challenging and time-consuming tasks…
Descriptors: Evaluation Methods, Individualized Instruction, Artificial Intelligence, Computer Assisted Testing
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Debarati Mukherjee; Supriya Bhavnani; Georgia Lockwood Estrin; Vaisnavi Rao; Jayashree Dasgupta; Hiba Irfan; Bhismadev Chakrabarti; Vikram Patel; Matthew K. Belmonte – Autism: The International Journal of Research and Practice, 2024
Current challenges in early identification of autism spectrum disorder lead to significant delays in starting interventions, thereby compromising outcomes. Digital tools can potentially address this barrier as they are accessible, can measure autism-relevant phenotypes and can be administered in children's natural environments by non-specialists.…
Descriptors: Autism Spectrum Disorders, Young Children, Evaluation, Technology
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