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Linda Amrane-Cooper; Stylianos Hatzipanagos; Liz Marr; Alan Tait – Open Praxis, 2024
The COVID-19 pandemic accelerated the shift to online assessment, prompting debates over validity, security, and increasingly the impact of Artificial Intelligence (AI) tools, especially generative AI, on traditional examination methods. This paper explores perceptions of the evolving landscape of online assessment and the role of AI within higher…
Descriptors: Computer Assisted Testing, Artificial Intelligence, Foreign Countries, Technology Uses in Education
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Sarintan N. Kaharu; Yusdin Gagaramusu; Azizah Azizah; Nurul Kamisani; Nurgan Tadeko; Jusman Mansyur – Pegem Journal of Education and Instruction, 2024
This study aims to develop an online test that can be used to characterize students' conception of objects in static fluid. The test developed by carried out several stages, namely: modified previous essay test and formed the Tier-1 of multiple-choice questions with options taken from the findings previous studies; combined the reasons for…
Descriptors: Test Construction, Scientific Concepts, Concept Formation, Computer Assisted Testing
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Toan Bao Nguyen – International Society for Technology, Education, and Science, 2024
The use of Learning Management System (LMS) is widespread in academic institutions across worldwide as technology integration in education keeps evolving. This study aims at investigating students' acceptance of using LMS for online testing. Additionally, the study seeks to thoroughly examine the reasons that lead to their acceptance of this…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learning Management Systems
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Arora, Simple; Chaudhary, Priya; Singh, Reetesh Kr – Interactive Technology and Smart Education, 2021
Purpose: The novel coronavirus pandemic is projected to cause an elevation in anxiety levels across the globe. With everything shifting to online mode, the teaching-learning has also gone virtual. This study aims to analyze the impact of novel coronavirus and online education on student's anxiety and self-efficacy, investigate the role of coping…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Test Anxiety
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Berényi, László; Deutsch, Nikolett; Szolnoki, Bernadett; Birkner, Zoltán – Electronic Journal of e-Learning, 2021
The success of developing e-learning is determined by curriculum quality, the availability of technological requirements and, to an even greater extent, by user response to the technology introduced in the process. Digital enhancement of education through e-learning solutions should also take the unique attributes of the targeted local region,…
Descriptors: Student Attitudes, Electronic Learning, Foreign Countries, Engineering Education
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Cross, Simon; Aristeidou, Maria; Rossade, Klaus-Dieter; Wood, Carlton; Brasher, Andrew – Online Learning, 2023
This paper reports findings from a research study at The Open University, UK into the quality of distance learners' online exam experience and the differences in experience between online (pandemic) and in-person (pre-pandemic) modes of examination. Our research responds to the ongoing need for greater insight into the exam experience and…
Descriptors: Outcomes of Education, Computer Assisted Testing, Educational Quality, Distance Education
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Janse van Rensburg, Cecile; Coetzee, Stephen A.; Schmulian, Astrid – Assessment & Evaluation in Higher Education, 2022
This study reports on the incorporation of mobile instant messaging (MIM) in assessments, as a collaborative learning tool, to enable students to socially construct knowledge and develop their collaborative problem solving competence, while being assessed individually. In particular, this study explores: what is the extent and timing of students'…
Descriptors: Computer Mediated Communication, Student Evaluation, Peer Relationship, Cooperative Learning
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Ghio, Fernanda Belén; Bruzzone, Manuel; Rojas-Torres, Luis; Cupani, Marcos – European Journal of Science and Mathematics Education, 2022
In the last decades, the development of computerized adaptive testing (CAT) has allowed more precise measurements with a smaller number of items. In this study, we develop an item bank (IB) to generate the adaptive algorithm and simulate the functioning of CAT to assess the domains of mathematical knowledge in Argentinian university students…
Descriptors: Test Items, Item Banks, Adaptive Testing, Mathematics Tests
Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Grantee Submission, 2022
Standardized reading assessments are often used as an admissions criterion for college admittance, however, the relationship and predictive validity of reading assessments to academic achievement remains in question. Through a quantitative review of the literature, we conducted a meta-analysis to examine how well performance on college reading…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
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Virginia Clinton-Lisell; Terrill Taylor; Sarah E. Carlson; Mark L. Davison; Ben Seipel – Journal of College Reading and Learning, 2022
Reading comprehension assessments are used for postsecondary course placement and advising, and they are components of college entrance exams. Therefore, a quantitative understanding of the relationship between reading comprehension assessments and postsecondary academic achievement is needed. To address this need, we conducted a meta-analysis to…
Descriptors: Reading Achievement, Reading Comprehension, Reading Tests, Academic Achievement
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Amal Iaaly; Patrick Daou; Mantoura Nakad; Rami J. Abboud – Education and Information Technologies, 2025
This paper reports on a participatory case study investigating the total shift to an electronic assessment and electronic proctoring modality in a traditional higher education academic institution in Lebanon due to the COVID-19 pandemic. It describes the novel real-time electronic assessment and proctoring system developed by the University of…
Descriptors: Supervision, COVID-19, Pandemics, Systems Approach
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Maria Aristeidou; Simon Cross; Klaus-Dieter Rossade; Carlton Wood; Terri Rees; Patrizia Paci – Journal of Computer Assisted Learning, 2024
Background: Research into online exams in higher education has grown significantly, especially as they became common practice during the COVID-19 pandemic. However, previous studies focused on understanding individual factors that relate to students' dispositions towards online exams in 'traditional' universities. Moreover, there is little…
Descriptors: Higher Education, Computer Assisted Testing, COVID-19, Pandemics
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Kübra Karakaya Özyer – Journal of Social Studies Education Research, 2024
The study aims to assess online assessment practices in a public university, addressing questions about self-efficacy levels, tools used, challenges faced, and proposed solutions. The chosen methodology employs a cross-sectional survey design, collecting both quantitative and qualitative data from 50 instructors in Türkiye through a convenience…
Descriptors: Foreign Countries, Student Evaluation, Computer Assisted Testing, College Students
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Sherry Y. Chen; Chia-Yi Tseng; Chao-Yang Cheng – Interactive Learning Environments, 2023
This study proposed a three-tier test to help students learn English grammar. To reduce students' anxiety, game-based learning was incorporated into the three-tier test, where personalization was also implemented to accommodate students' different needs. More specifically, we developed a Personalized Entertaining Three-Tier Test (PET3), which…
Descriptors: English (Second Language), Language Tests, Grammar, Game Based Learning
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Riegel, Kaitlin; Evans, Tanya – Australasian Journal of Educational Technology, 2021
The rapid inclusion of online assessment in higher education has left a void in investigating the relationship this form of assessment has with student emotions. This study examines the influence of frequent online assessment on student emotions in a university setting using a mixed-methods approach. Students' emotions in an online quiz and a…
Descriptors: Academic Achievement, Psychological Patterns, Incidence, Computer Assisted Testing
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