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Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
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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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Christian Grévisse; Françoise Kayser – Anatomical Sciences Education, 2025
Radioanatomy, short for radiographic anatomy, is the study of anatomy through medical imaging. Its early-stage introduction into medical curricula has been recommended in the literature. As with many other medical courses, it has seen a shift toward blended learning, including assessment on learning management systems such as Moodle, one advantage…
Descriptors: Science Education, Radiology, Anatomy, Learning Management Systems
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Lynne N. Kennette; Dawn McGuckin – Teaching & Learning Inquiry, 2025
Multiple choice tests are unlikely to disappear from formal education, partly due to the ease of large-scale administration and grading and their similarity to licensing exams in various fields (e.g., nursing). Despite post-secondary instructors' best intentions in giving students adequate time to complete multiple choice assessments, it can be…
Descriptors: Foreign Countries, Two Year College Students, Multiple Choice Tests, Computer Assisted Testing
Ben Seipel; Patrick C. Kennedy; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison – Journal of Learning Disabilities, 2023
As access to higher education increases, it is important to monitor students with special needs to facilitate the provision of appropriate resources and support. Although metrics such as the "reading readiness" ACT (formerly American College Testing) of provide insight into how many students may need such resources, they do not specify…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Reading Tests, Reading Comprehension
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Plasencia, Javier – Biochemistry and Molecular Biology Education, 2023
Multiple studies have shown that testing contributes to learning at all educational levels. In this observational classroom study, we report the use of a learning tool developed for a Genetics and Molecular Biology course at the college level. An interactive set of practice exams that included 136 multiple choice questions (MCQ) or matching…
Descriptors: Molecular Biology, Genetics, Science Tests, College Science
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Richard Say; Denis Visentin; Annette Saunders; Iain Atherton; Andrea Carr; Carolyn King – Journal of Computer Assisted Learning, 2024
Background: Formative online multiple-choice tests are ubiquitous in higher education and potentially powerful learning tools. However, commonly used feedback approaches in online multiple-choice tests can discourage meaningful engagement and enable strategies, such as trial-and-error, that circumvent intended learning outcomes. These strategies…
Descriptors: Feedback (Response), Self Management, Formative Evaluation, Multiple Choice Tests
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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
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Hubert Izienicki – Teaching Sociology, 2024
Many instructors use a syllabus quiz to ensure that students learn and understand the content of the syllabus. In this project, I move beyond this exercise's primary function and examine students' syllabus quiz scores to see if they can predict how well students perform in the course overall. Using data from 495 students enrolled in 18 sections of…
Descriptors: Tests, Course Descriptions, Performance, Predictor Variables
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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)
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Yilmaz, Erdi Okan; Toker, Türker – International Journal of Psychology and Educational Studies, 2022
This study examines the online assessment-evaluation activities in distance education processes. The effects of different online exam application styles considering the online assessment-evaluation in distance education processes, including all programs of a higher education institution, were documented. The population for online…
Descriptors: Foreign Countries, Computer Assisted Testing, Test Format, Distance Education
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Esteban Guevara Hidalgo – International Journal for Educational Integrity, 2025
The COVID-19 pandemic had a profound impact on education, forcing many teachers and students who were not used to online education to adapt to an unanticipated reality by improvising new teaching and learning methods. Within the realm of virtual education, the evaluation methods underwent a transformation, with some assessments shifting towards…
Descriptors: Foreign Countries, Higher Education, COVID-19, Pandemics
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Eva Svärdemo Åberg; Eva Edman Stålbrandt; Anna Wiik – Designs for Learning, 2025
This study explores how digital assessment designs in higher education influence students' ability to demonstrate their knowledge and realize their agency, which is a significant gap in the research literature. The increasing integration of digital tools, as well as heightened concerns about academic integrity, have led to a shift towards more…
Descriptors: Higher Education, Computer Assisted Testing, Design, Student Evaluation
Ben Seipel; Patrick C. Kennedy; Sarah E. Carlson; Virginia Clinton-Lisell; Mark L. Davison – Grantee Submission, 2022
As access to higher education increases, it is important to monitor students with special needs to facilitate the provision of appropriate resources and support. Although metrics such as ACT's (formerly American College Testing) "reading readiness" provide insight into how many students may need such resources, they do not specify…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Reading Tests, Reading Comprehension
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Castellano, Katherine E.; Mikeska, Jamie N.; Moon, Jung Aa; Holtzman, Steven; Gao, Jie; Jiang, Yang – Journal of Science Education and Technology, 2022
Preservice elementary teachers (PSTs) prepare for various standardized assessments, such as the Praxis® licensure assessment. However, there is little research on test-taking behavior and test-taking strategies for this examinee population. A common belief and instruction given in some test preparation materials is that examinees should stick to…
Descriptors: Preservice Teachers, Elementary School Teachers, Test Wiseness, Student Behavior
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