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Mohamed Kara-Mohamed – Journal of Educational Technology Systems, 2025
(1) Context: The growing accessibility of Artificial Intelligence (AI) technology, such as ChatGPT, poses a challenge to the integrity of online assessments in higher education. As AI becomes more integrated into academic contexts, educators face the complex task of maintaining assessment standards particularly within modern Virtual Learning…
Descriptors: Artificial Intelligence, Virtual Classrooms, Computer Assisted Testing, Universities
Lahza, Hatim; Smith, Tammy G.; Khosravi, Hassan – British Journal of Educational Technology, 2023
Traditional item analyses such as classical test theory (CTT) use exam-taker responses to assessment items to approximate their difficulty and discrimination. The increased adoption by educational institutions of electronic assessment platforms (EAPs) provides new avenues for assessment analytics by capturing detailed logs of an exam-taker's…
Descriptors: Medical Students, Evaluation, Computer Assisted Testing, Time Factors (Learning)
Pearson, Christopher; Penna, Nigel – Assessment & Evaluation in Higher Education, 2023
E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering…
Descriptors: Automation, Scoring, Engineering Education, Foreign Countries
Jeff Allen; Jay Thomas; Stacy Dreyer; Scott Johanningmeier; Dana Murano; Ty Cruce; Xin Li; Edgar Sanchez – ACT Education Corp., 2025
This report describes the process of developing and validating the enhanced ACT. The report describes the changes made to the test content and the processes by which these design decisions were implemented. The authors describe how they shared the overall scope of the enhancements, including the initial blueprints, with external expert panels,…
Descriptors: College Entrance Examinations, Testing, Change, Test Construction
Srikanth Allamsetty; M. V. S. S. Chandra; Neelima Madugula; Byamakesh Nayak – IEEE Transactions on Learning Technologies, 2024
The present study is related to the problem associated with student assessment with online examinations at higher educational institutes (HEIs). With the current COVID-19 outbreak, the majority of educational institutes are conducting online examinations to assess their students, where there would always be a chance that the students go for…
Descriptors: Computer Assisted Testing, Accountability, Higher Education, Comparative Analysis
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
Jila Niknejad; Margaret Bayer – International Journal of Mathematical Education in Science and Technology, 2025
In Spring 2020, the need for redesigning online assessments to preserve integrity became a priority to many educators. Many of us found methods to proctor examinations using Zoom and proctoring software. Such examinations pose their own issues. To reduce the technical difficulties and cost, many Zoom proctored examination sessions were shortened;…
Descriptors: Mathematics Instruction, Mathematics Tests, Computer Assisted Testing, Computer Software
Falcão, Filipe; Costa, Patrício; Pêgo, José M. – Advances in Health Sciences Education, 2022
Background: Current demand for multiple-choice questions (MCQs) in medical assessment is greater than the supply. Consequently, an urgency for new item development methods arises. Automatic Item Generation (AIG) promises to overcome this burden, generating calibrated items based on the work of computer algorithms. Despite the promising scenario,…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Test Items, Medical Education
Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
Dongmei Li; Shalini Kapoor; Ann Arthur; Chi-Yu Huang; YoungWoo Cho; Chen Qiu; Hongling Wang – ACT Education Corp., 2025
Starting in April 2025, ACT will introduce enhanced forms of the ACT® test for national online testing, with a full rollout to all paper and online test takers in national, state and district, and international test administrations by Spring 2026. ACT introduced major updates by changing the test lengths and testing times, providing more time per…
Descriptors: College Entrance Examinations, Testing, Change, Scoring
Wittmann, Eveline; Weyland, Ulrike; Seeber, Susan; Warwas, Julia; Strikovic, Aldin; Krebs, Philine; Pohley, Monja; Wilczek, Larissa – Empirical Research in Vocational Education and Training, 2022
The identification of effects of vocational education and training conditions on competence development in nursing education requires longitudinal studies. An important precondition is the availability of a test of nursing competence which is economical in use, measures a homogeneous construct throughout years of nursing education and across…
Descriptors: Nursing Education, Computer Assisted Testing, Nursing Students, Competence
Gruss, Richard; Clemons, Josh – Journal of Computer Assisted Learning, 2023
Background: The sudden growth in online instruction due to COVID-19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web-based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be…
Descriptors: Test Items, Test Format, Computer Assisted Testing, Mathematics Tests
Sagoo, Mandeep Gill; Vorstenbosch, Marc A.T.M.; Bazira, Peter J.; Ellis, Harold; Kambouri, Maria; Owen, Charlie – Anatomical Sciences Education, 2021
Anatomical examinations have been designed to assess topographical and/or applied knowledge of anatomy with or without the inclusion of visual resources such as cadaveric specimens or images, radiological images, and/or clinical photographs. Multimedia learning theories have advanced the understanding of how words and images are processed during…
Descriptors: Anatomy, Computer Assisted Testing, Visual Aids, Medical Students
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
Junlan Pan; Emma Marsden – Language Testing, 2024
"Tests of Aptitude for Language Learning" (TALL) is an openly accessible internet-based battery to measure the multifaceted construct of foreign language aptitude, using language domain-specific instruments and L1-sensitive instructions and stimuli. This brief report introduces the components of this theory-informed battery and…
Descriptors: Language Tests, Aptitude Tests, Second Language Learning, Test Construction

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