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Michael Bass; Scott Morris; Sheng Zhang – Measurement: Interdisciplinary Research and Perspectives, 2025
Administration of patient-reported outcome measures (PROs), using multidimensional computer adaptive tests (MCATs) has the potential to reduce patient burden, but the efficiency of MCAT depends on the degree to which an individual's responses fit the psychometric properties of the assessment. Assessing patients' symptom burden through the…
Descriptors: Adaptive Testing, Computer Assisted Testing, Patients, Outcome Measures
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Yi-Jui I. Chen; Yi-Jhen Wu; Yi-Hsin Chen; Robin Irey – Journal of Psychoeducational Assessment, 2025
A short form of the 60-item computer-based orthographic processing assessment (long-form COPA or COPA-LF) was developed. The COPA-LF consists of five skills, including rapid perception, access, differentiation, correction, and arrangement. Thirty items from the COPA-LF were selected for the short-form COPA (COPA-SF) based on cognitive diagnostic…
Descriptors: Computer Assisted Testing, Test Length, Test Validity, Orthographic Symbols
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Matthew D. Coss – Language Learning & Technology, 2025
The extent to which writing modality (i.e., hand-writing vs. keyboarding) impacts second-language (L2) writing assessment scores remains unclear. For alphabetic languages like English, research shows mixed results, documenting both equivalent and divergent scores between typed and handwritten tests (e.g., Barkaoui & Knouzi, 2018). However, for…
Descriptors: Computer Assisted Testing, Paper and Pencil Tests, Second Language Learning, Chinese
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Vy Le; Jayson M. Nissen; Xiuxiu Tang; Yuxiao Zhang; Amirreza Mehrabi; Jason W. Morphew; Hua Hua Chang; Ben Van Dusen – Physical Review Physics Education Research, 2025
In physics education research, instructors and researchers often use research-based assessments (RBAs) to assess students' skills and knowledge. In this paper, we support the development of a mechanics cognitive diagnostic to test and implement effective and equitable pedagogies for physics instruction. Adaptive assessments using cognitive…
Descriptors: Physics, Science Education, Scientific Concepts, Diagnostic Tests
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Xuefan Li; Marco Zappatore; Tingsong Li; Weiwei Zhang; Sining Tao; Xiaoqing Wei; Xiaoxu Zhou; Naiqing Guan; Anny Chan – IEEE Transactions on Learning Technologies, 2025
The integration of generative artificial intelligence (GAI) into educational settings offers unprecedented opportunities to enhance the efficiency of teaching and the effectiveness of learning, particularly within online platforms. This study evaluates the development and application of a customized GAI-powered teaching assistant, trained…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Academic Achievement
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Reddy, Leelakrishna; Letswalo, Machaba Leanyatsa; Sefage, Amanda Percy; Kheswa, Bonginkosi Vincent; Balakrishna, Avula; Changundega, Jesman Moreblessing; Mvelase, Mashinga Johannes; Kheswa, Khayelihle Allen; Majola, Siyabonga Ntokozo Thandoluhle; Mathe, Themba; Seakamela, Teffo; Nemakhavhani, Thendo Emmanuel – Pedagogical Research, 2022
Integrity and quality of assessments on the online platform should be upheld to ensure that it supports student learning as well as the efficacy of teaching because in the end it measures the reputation of an institution. How institutions have traversed such domains remains a grey area. This paper provides anecdotal insights into how staff from a…
Descriptors: Computer Assisted Testing, Cheating, Foreign Countries, College Faculty
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Langenfeld, Thomas – Journal of Applied Testing Technology, 2022
The turn to online learning and training programs as a response to challenging times (i.e., the COVID-19 crisis) necessitated the need for internet-based testing solutions. Researchers generally have found that Unproctored Internet Testing (UIT) for high-stakes cognitive ability assessments results in higher scores than proctored assessments. Live…
Descriptors: Internet, Computer Assisted Testing, COVID-19, Pandemics
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Shin, Jinnie; Gierl, Mark J. – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) technologies provide innovative solutions to score the written essays with a much shorter time span and at a fraction of the current cost. Traditionally, AES emphasized the importance of capturing the "coherence" of writing because abundant evidence indicated the connection between coherence and the overall…
Descriptors: Computer Assisted Testing, Scoring, Essays, Automation
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Conijn, Rianne; Kleingeld, Ad; Matzat, Uwe; Snijders, Chris – Journal of Computer Assisted Learning, 2022
Background: Online and blended learning need an appropriate assessment strategy which ensures academic integrity. During the pandemic, many universities have chosen for online proctoring. Although some earlier examples suggest that online proctoring may reduce cheating, the potential side-effects of proctoring are largely unknown. Objectives:…
Descriptors: Supervision, Computer Assisted Testing, Integrity, Cheating
Hacer Karamese – ProQuest LLC, 2022
Multistage adaptive testing (MST) has become popular in the testing industry because the research has shown that it combines the advantages of both linear tests and item-level computer adaptive testing (CAT). The previous research efforts primarily focused on MST design issues such as panel design, module length, test length, distribution of test…
Descriptors: Adaptive Testing, Scoring, Computer Assisted Testing, Design
Susan E. Ramlo – Sage Research Methods Cases, 2022
Q methodology (Q) offers a scientific way to study subjectivity, meaning people's viewpoints about a topic. The underlying assumption of Q is that when people share an experience, they do not necessarily form the same viewpoint about that experience. This is different from the use of Likert-scale surveys that report results using aggregate…
Descriptors: COVID-19, Pandemics, Higher Education, Q Methodology
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Halem, Nicolette; Klaveren, Chris; Cornelisz, Ilja – Higher Education Quarterly, 2021
Virtual proctoring technology is credited with increasing the accessibility of exams by enabling students to participate in exams at any time and place. In this field experiment, students were randomly assigned to virtual proctoring or traditional on-campus examination to evaluate the effect, nature and timing of implementation barriers for online…
Descriptors: Foreign Countries, Supervision, Computer Assisted Testing, Barriers
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Andersen, Øistein E.; Yuan, Zheng; Watson, Rebecca; Cheung, Kevin Yet Fong – International Educational Data Mining Society, 2021
Automated essay scoring (AES), where natural language processing is applied to score written text, can underpin educational resources in blended and distance learning. AES performance has typically been reported in terms of correlation coefficients or agreement statistics calculated between a system and an expert human examiner. We describe the…
Descriptors: Evaluation Methods, Scoring, Essays, Computer Assisted Testing
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Meijuan Li; Hongyun Liu; Mengfei Cai; Jianlin Yuan – Education and Information Technologies, 2024
In the human-to-human Collaborative Problem Solving (CPS) test, students' problem-solving process reflects the interdependency among partners. The high interdependency in CPS makes it very sensitive to group composition. For example, the group outcome might be driven by a highly competent group member, so it does not reflect all the individual…
Descriptors: Problem Solving, Computer Assisted Testing, Cooperative Learning, Task Analysis
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Anela Hrnjicic; Adis Alihodžic – International Electronic Journal of Mathematics Education, 2024
Understanding the concepts related to real function is essential in learning mathematics. To determine how students understand these concepts, it is necessary to have an appropriate measurement tool. In this paper, we have created a web application using 32 items from conceptual understanding of real functions (CURF) item bank. We conducted a…
Descriptors: Mathematical Concepts, College Freshmen, Foreign Countries, Computer Assisted Testing
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