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Abigail M. A. Love; Ru Ying Cai; Jennifer Stephenson; Emma Gallagher; Michael D. Toland; Vicki Gibbs – Journal of Autism and Developmental Disorders, 2025
Autistic students are educated in Australia across a variety of contexts and almost all educators use individualized goal-setting as a way of ensuring appropriate accommodations and curriculum modifications. Educators experience similar challenges when developing individualized goals for students, including lack of a standardized process for goal…
Descriptors: Computer Assisted Testing, Adaptive Testing, Autism Spectrum Disorders, Foreign Countries
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Wesley Morris; Langdon Holmes; Joon Suh Choi; Scott Crossley – International Journal of Artificial Intelligence in Education, 2025
Recent developments in the field of artificial intelligence allow for improved performance in the automated assessment of extended response items in mathematics, potentially allowing for the scoring of these items cheaply and at scale. This study details the grand prize-winning approach to developing large language models (LLMs) to automatically…
Descriptors: Automation, Computer Assisted Testing, Mathematics Tests, Scoring
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Lena Frenken; Paul Libbrecht; Benjamin Becker; Gilbert Greefrath – International Journal of Mathematical Education in Science and Technology, 2024
The German national educational standards state explicitly that students should be enabled to successfully interact with dynamic geometry software. In a feasibility study on providing a standardized assessment instrument by digital means, in order to assess students' mathematical competencies, the implementation of a task with such a dynamic…
Descriptors: Geometry, Standardized Tests, Foreign Countries, Computer Software
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Arif Cem Topuz; Kinshuk – Educational Technology Research and Development, 2024
Online assessments of learning, or online exams, have become increasingly widespread with the rise of distance learning. Online exams are preferred by many students and are perceived as a quick and easy tool to measure knowledge. On the contrary, some students are concerned about the possibility of cheating and technological difficulties in online…
Descriptors: Computer Assisted Testing, Student Evaluation, Evaluation Methods, Student Attitudes
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Archana Praveen Kumar; Ashalatha Nayak; Manjula Shenoy K.; Chaitanya; Kaustav Ghosh – International Journal of Artificial Intelligence in Education, 2024
Multiple Choice Questions (MCQs) are a popular assessment method because they enable automated evaluation, flexible administration and use with huge groups. Despite these benefits, the manual construction of MCQs is challenging, time-consuming and error-prone. This is because each MCQ is comprised of a question called the "stem", a…
Descriptors: Multiple Choice Tests, Test Construction, Test Items, Semantics
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Ulrike Padó; Yunus Eryilmaz; Larissa Kirschner – International Journal of Artificial Intelligence in Education, 2024
Short-Answer Grading (SAG) is a time-consuming task for teachers that automated SAG models have long promised to make easier. However, there are three challenges for their broad-scale adoption: A technical challenge regarding the need for high-quality models, which is exacerbated for languages with fewer resources than English; a usability…
Descriptors: Grading, Automation, Test Format, Computer Assisted Testing
Chris Jellis – Research Matters, 2024
The Centre for Evaluation and Monitoring (CEM), based in the North of England, recently celebrated its 40th birthday. Arising from an evaluation project at Newcastle University, and a subsequent move to Durham University, it rapidly grew in scope and influence, developing a series of highly regarded school assessments. For a relatively small…
Descriptors: Educational Assessment, Foreign Countries, Computer Assisted Testing, Adaptive Testing
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Jing Miao; Yi Cao; Michael E. Walker – ETS Research Report Series, 2024
Studies of test score comparability have been conducted at different stages in the history of testing to ensure that test results carry the same meaning regardless of test conditions. The expansion of at-home testing via remote proctoring sparked another round of interest. This study uses data from three licensure tests to assess potential mode…
Descriptors: Testing, Test Format, Computer Assisted Testing, Home Study
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Jusuf Blegur; Fegie Rizkia Mulyana; Andi Saparia – Journal of Learning for Development, 2024
COVID-19 significantly contributed to increasing use of online assessment in education, including physical education. Teachers still need online assessments in face-to-face learning because they help them improve a practical, objective, and credible assessment process for students' learning performance. This research aimed at tracking the…
Descriptors: Publications, Computer Assisted Testing, Physical Education, Trend Analysis
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David A. Joyner; Zoey Anne Beda; Michael Cohen; Melanie Duffin; Amy Garcia Fernandez; Liz Hayes-Golding; Jonathan Hildreth; Alex Houk; Rebecca Johnson; Kayla Matcheck; Ana Santos – International Educational Data Mining Society, 2024
This study examines log data from proctored examinations from two classes offered as part of a large online graduate program in computer science. In these two classes, students are permitted to access any internet content during their exams, which themselves have remained largely unchanged over the last several semesters. As a result, when ChatGPT…
Descriptors: Computer Assisted Testing, Tests, Internet, Graduate Students
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Putnikovic, Marko; Jovanovic, Jelena – IEEE Transactions on Learning Technologies, 2023
Automatic grading of short answers is an important task in computer-assisted assessment (CAA). Recently, embeddings, as semantic-rich textual representations, have been increasingly used to represent short answers and predict the grade. Despite the recent trend of applying embeddings in automatic short answer grading (ASAG), there are no…
Descriptors: Automation, Computer Assisted Testing, Grading, Natural Language Processing
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Cleophas, Catherine; Hönnige, Christoph; Meisel, Frank; Meyer, Philipp – INFORMS Transactions on Education, 2023
As the COVID-19 pandemic motivated a shift to virtual teaching, exams have increasingly moved online too. Detecting cheating through collusion is not easy when tech-savvy students take online exams at home and on their own devices. Such online at-home exams may tempt students to collude and share materials and answers. However, online exams'…
Descriptors: Computer Assisted Testing, Cheating, Identification, Essay Tests
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Uglanova, Irina; Orel, Ekaterina; Gracheva, Daria; Tarasova, Ksenia – British Journal of Educational Psychology, 2023
Background: Critical thinking (CT) has been identified as one of the key skills in the modern world. Despite a variety of CT assessment systems for secondary school and higher education, there is a shortage of CT assessments for children. Aims: To fill the gap, we developed a computer-based performance assessment (CPBA) of CT with automatic…
Descriptors: Critical Thinking, Performance Based Assessment, Student Behavior, Computer Assisted Testing
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Tan, Hongye; Wang, Chong; Duan, Qinglong; Lu, Yu; Zhang, Hu; Li, Ru – Interactive Learning Environments, 2023
Automatic short answer grading (ASAG) is a challenging task that aims to predict a score for a given student response. Previous works on ASAG mainly use nonneural or neural methods. However, the former depends on handcrafted features and is limited by its inflexibility and high cost, and the latter ignores global word cooccurrence in a corpus and…
Descriptors: Automation, Grading, Computer Assisted Testing, Graphs
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Ayfer Sayin; Mark J. Gierl – International Journal of Assessment Tools in Education, 2023
Developments in the field of education have significantly affected test development processes, and computer-based test applications have been started in many institutions. In our country, research on the application of measurement and evaluation tools in the computer environment for use with distance education is gaining momentum. A large pool of…
Descriptors: Turkish, Literature, Test Items, Item Banks
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