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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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Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
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Lam Ky Nhan – Turkish Online Journal of Distance Education, 2025
This study investigates the impact of artificial intelligence (AI) on personalized learning, automated assessment and feedback, intelligent tutoring systems, and student engagement in online learning environments. The research focuses on fourth-year English major students at a university in the Mekong Delta region, utilizing a mixed-methods…
Descriptors: Artificial Intelligence, Individualized Instruction, Automation, Computer Assisted Testing
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Sükür, Murat; Yilmaz-Yakisik, Burçak; Yangin-Eksi, Gonca – Journal of Theoretical Educational Science, 2023
Research on dynamic assessment (DA) has been conducted on the efficiency of either face-to-face (F2F) or mobile-assisted (MA) DA sessions. However, studies investigating the difference between these sessions conducted in the foreign language learning context are scarce. Thus, this study aims to explore the differences between F2F- and MA-DA…
Descriptors: Alternative Assessment, Computer Assisted Testing, Second Language Learning, College Students
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Barut Tugtekin, Esra – International Review of Research in Open and Distributed Learning, 2023
This study examined the use of Advancity Learning Management Systems (ALMS) and the Moodle Learning Management Systems (LMS) in learning settings, as well as online exams, within the framework of Transactional Distance Theory. With 146 college students (n[subscript female] = 102, n[subscript male] = 44) as voluntary participants, data was gathered…
Descriptors: Learning Management Systems, Computer Assisted Testing, Educational Technology, College Students
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Lin, Jian-Wei; Tsai, Chia-Wen; Hsu, Chu-Ching – Interactive Learning Environments, 2023
Different e-learning technologies may offer different incentive factors, which influence behavioural intention. Moreover, when adopting a new e-learning technology for an extended period, learners' perceptions and learning behaviour may change during the learning period. Unfortunately, as formative assessments (FAs) are often continuously…
Descriptors: Comparative Analysis, Evaluation Methods, Formative Evaluation, Game Based Learning
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Mohd Elmagzoub Eltahir; Nagaletchimee Annamalai; Arulselvi Uthayakumaran; Samer H. Zyoud; Antonia Ramírez García; Viktorija Mažeikiene; Bilal Zakarneh; Najeh Rajeh Al Salhi – SAGE Open, 2023
Online assessment is a new introduction in many developing countries during the COVID-19 pandemic, including Malaysia, Lithuania, and Spain. The current study conducted a phenomenology study to probe insights about fairness in online assessment. The interview data were interpreted from the perspective of social psychology theory that emphasizes…
Descriptors: Foreign Countries, COVID-19, Pandemics, Scoring Rubrics
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Chan, Cecilia Ka Yuk – Assessment & Evaluation in Higher Education, 2023
With the advances of technologies, possessing digital and information literacy is crucial for the selection of candidates by employers in this digital AI era. For most students, receiving and outputting electronic text has become the norm, and thus examinations with writing components done by hand may not accurately reflect their abilities. It…
Descriptors: Test Format, Handwriting, Stakeholders, Feedback (Response)
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Jang, Jung Un; Kim, Eun Joo – Journal of Curriculum and Teaching, 2022
This study conducts the validity of the pen-and-paper and smart-device-based tests on optician's examination. The developed questions for each media were based on the national optician's simulation test. The subjects of this study were 60 students enrolled in E University. The data analysis was performed to verify the equivalence of the two…
Descriptors: Optometry, Licensing Examinations (Professions), Test Format, Test Validity
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Jaber, Ahmad M. D.; Bawalsah, Joseph A.; Hiari, Mohammad O.; Musleh, Mohammad; Haimur, Talal – Cypriot Journal of Educational Sciences, 2022
This study suggests a digital assessment tool - Smart Equation Exam System (SEED) - as a substitute for traditional multiple-choice and paper and pen exams. SEED includes a question bank, an answer platform, mathematical equations, and physics formulae. The novelty of SEED is that it allows all students with or without physical disabilities via…
Descriptors: Student Attitudes, Computer Assisted Testing, Students with Disabilities, Physical Disabilities
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Kelli Nicola-Richmond; Phillip Dawson; Helen Partridge – Higher Education Research and Development, 2024
Remote proctoring of exams is one of the most divisive issues in higher education. Critiques of remote proctoring abound, and there are a variety of perspectives particularly in relation to the advantages and disadvantages of this type of assessment, and opportunities for cheating. However, these perspectives are largely based on rhetoric with…
Descriptors: Supervision, Student Evaluation, Computer Assisted Testing, Distance Education
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Martin Braun – New Directions in the Teaching of Natural Sciences, 2024
During the COVID pandemic, universities around the globe had to move not only their content delivery online, but also their assessments. Due to COVID causing significant upheaval in Higher Education (HE), this enforced experiment also afforded an opportunity to reflect on traditional, invigilated, closed book exams (ICBE) resulting in research and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Educational Technology
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Henderson, Michael; Chung, Jennifer; Awdry, Rebecca; Mundy, Matthew; Bryant, Mike; Ashford, Cliff; Ryan, Kris – Assessment & Evaluation in Higher Education, 2023
Online examinations are a common experience in higher education. Their security is a key concern for education communities, and has resulted in a variety of cheating countermeasures. There is broad consensus in the literature that there is no one measure, including proctoring, which eradicates cheating behaviours. As a result, this study is…
Descriptors: Computer Assisted Testing, Cheating, College Students, Student Behavior
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Mimi Ismail; Ahmed Al - Badri; Said Al - Senaidi – Journal of Education and e-Learning Research, 2025
This study aimed to reveal the differences in individuals' abilities, their standard errors, and the psychometric properties of the test according to the two methods of applying the test (electronic and paper). The descriptive approach was used to achieve the study's objectives. The study sample consisted of 74 male and female students at the…
Descriptors: Achievement Tests, Computer Assisted Testing, Psychometrics, Item Response Theory
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Emily B. Goldberg; Sheila R. Pratt; Malcolm R. McNeil; Neil Szuminsky; Kenneth DeHaan; Leslie Q. Zhen – Journal of Speech, Language, and Hearing Research, 2025
Purpose: The present study assessed the test-retest reliability of the American Sign Language (ASL) version of the Computerized Revised Token Test (CRTT-ASL) and compared the differences and similarities between ASL and English reading by Deaf and hearing users of ASL. Method: Creation of the CRTT-ASL involved filming, editing, and validating CRTT…
Descriptors: American Sign Language, Reliability, Validity, Test Construction
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