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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
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Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
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Burhan Ogut; Ruhan Circi; Huade Huo; Juanita Hicks; Michelle Yin – International Electronic Journal of Elementary Education, 2025
This study explored the effectiveness of extended time (ET) accommodations in the 2017 NAEP Grade 8 Mathematics assessment to enhance educational equity. Analyzing NAEP process data through an XGBoost model, we examined if early interactions with assessment items could predict students' likelihood of requiring ET by identifying those who received…
Descriptors: Identification, Testing Accommodations, National Competency Tests, Equal Education
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James Pengelley; Peter R. Whipp; Anabela Malpique – Technology, Pedagogy and Education, 2025
The rising use of technology in classrooms has also brought with it a concomitant wave of computer-based assessments. The argument for computer-based testing is often framed in terms of efficiency and data management: computer-based tests facilitate more efficient processing of test data and the rate at which feedback can be leveraged for student…
Descriptors: Cognitive Processes, Paper and Pencil Tests, Computer Assisted Testing, Student Evaluation
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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
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Jiang, Zhuhan; Huang, Jiansheng – IEEE Transactions on Learning Technologies, 2022
Advanced digital technologies and social media have greatly improved both the learning experience and the assessment convenience, while inadvertently facilitated potential plagiarism and collaborative cheating at the same time. In this article, we will focus on the strategies and their technological implementations to run exams, or in-class tests…
Descriptors: Plagiarism, Educational Technology, Computer Assisted Testing, Cheating
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Meagan Karvonen; Russell Swinburne Romine; Amy K. Clark – Practical Assessment, Research & Evaluation, 2024
This paper describes methods and findings from student cognitive labs, teacher cognitive labs, and test administration observations as evidence evaluated in a validity argument for a computer-based alternate assessment for students with significant cognitive disabilities. Validity of score interpretations and uses for alternate assessments based…
Descriptors: Students with Disabilities, Intellectual Disability, Severe Disabilities, Student Evaluation
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Rizki Zakwandi; Edi Istiyono; Wipsar Sunu Brams Dwandaru – Education and Information Technologies, 2024
Computational Thinking (CT) skill was a part of the global framework of reference on Digital Literacy for Indicator 4.4.2, widely developed in mathematics and science learning. This study aimed to promote an assessment tool using a two-tier Computerized Adaptive Test (CAT). The study used the Design and Development Research (DDR) method with four…
Descriptors: Computer Assisted Testing, Adaptive Testing, Student Evaluation, Computation
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Ashish Gurung; Kirk Vanacore; Andrew A. McReynolds; Korinn S. Ostrow; Eamon S. Worden; Adam C. Sales; Neil T. Heffernan – Grantee Submission, 2024
Learning experience designers consistently balance the trade-off between open and close-ended activities. The growth and scalability of Computer Based Learning Platforms (CBLPs) have only magnified the importance of these design trade-offs. CBLPs often utilize close-ended activities (i.e. Multiple-Choice Questions [MCQs]) due to feasibility…
Descriptors: Multiple Choice Tests, Testing, Test Format, Computer Assisted 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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Priti Oli; Rabin Banjade; Jeevan Chapagain; Vasile Rus – Grantee Submission, 2024
Assessing students' answers and in particular natural language answers is a crucial challenge in the field of education. Advances in transformer-based models such as Large Language Models (LLMs), have led to significant progress in various natural language tasks. Nevertheless, amidst the growing trend of evaluating LLMs across diverse tasks,…
Descriptors: Student Evaluation, Computer Assisted Testing, Artificial Intelligence, Comprehension
Cole, Shelbi K.; Swanson, Carey – Smarter Balanced Assessment Consortium, 2022
Over the past few years, several states have begun to explore or pilot different through-year assessments to serve as replacements to the traditional end-of-year summative assessments that are currently the predominant source of information used by states to meet federal accountability requirements. While there are several different assessment…
Descriptors: Instructional Materials, Computer Assisted Testing, Adaptive Testing, Student Evaluation
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Alhadi, Moosa; Zhang, Dake; Wang, Ting; Maher, Carolyn A. – Computers in the Schools, 2023
This research synthesizes studies that used a Digitalized Interactive Component (DIC) to assess K-12 student performance during Computer-based-Assessments (CBAs) in mathematics. A systematic search identified ten studies, including four that provided language assistance and six that provided response-construction support. We reported on the one…
Descriptors: Computer Assisted Testing, Mathematics Tests, Student Evaluation, Elementary Secondary Education
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George Kinnear; Paola Iannone; Ben Davies – Educational Studies in Mathematics, 2025
Example-generation tasks have been suggested as an effective way to both promote students' learning of mathematics and assess students' understanding of concepts. E-assessment offers the potential to use example-generation tasks with large groups of students, but there has been little research on this approach so far. Across two studies, we…
Descriptors: Mathematics Skills, Learning Strategies, Skill Development, Student Evaluation
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David Allen; Rie Koizumi – Language Assessment Quarterly, 2024
"The English Speaking Achievement Test for Japanese Junior High School Students" (ESAT-J) was introduced to contribute to levelling up public English education in Tokyo in 2022. Critics, however, have made claims in the mass media against the use of the test and stakeholder groups have called for its cancellation. This paper presents an…
Descriptors: English (Second Language), Second Language Learning, Foreign Countries, Junior High School Students
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