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Chen, Clement; Jones, Keith T.; Lawrence, Mark; Simpson, Jill M. – Quarterly Review of Distance Education, 2022
This article discusses the necessity of using technology for exam proctoring in an era of increasing growth in online course delivery. The article discusses a recent generational trend affecting the rationalization leg of the "fraud triangle" generally used to model the conditions typically present in fraud, then discusses some…
Descriptors: Computer Assisted Testing, Technology Uses in Education, Supervision, Online Courses
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Oeding, Jill M. – Quarterly Review of Distance Education, 2022
One of the primary findings from this study is the importance of watching the exam proctoring videos for online, remotely proctored exams. Proctors do not need to be experts in academic dishonesty to detect the misconduct. The key to detecting academic dishonesty is to closely monitor the examinee's eyes, know the eyes' position when the examinee…
Descriptors: Prevention, Identification, Cheating, Ethics
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Padli, Padli; Mardela, Romi; Yendrizal, Yendrizal – Cypriot Journal of Educational Sciences, 2022
This study aims to find out the level of students' hitting skills and student responses after using ball-hitting skills. This type of research is a mixed method with an explanatory model. The sampling technique used was purposive sampling with a sample of 30 students who were active and contracted in the cricket courses. Before collecting data,…
Descriptors: Athletics, Psychomotor Skills, Computer Assisted Testing, College Students
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Mo, Daniel Y.; Tang, Yuk Ming; Wu, Edmund Y.; Tang, Valerie – Education and Information Technologies, 2022
Electronic assessment (e-assessment) is an essential part of higher education, not only used to manage a large class size of students' learning performance and particularly in assessing the learning outcomes of students. The e-assessment data generated can not only be used to determine students' study weaknesses to develop strategies for teaching…
Descriptors: Higher Education, Computer Assisted Testing, Models, Student Attitudes
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Griffiths, Barry J. – Research on Education and Media, 2022
This pilot study looks at how the author proactively sought to mitigate the issue of cheating when giving online tests during the Spring 2021 semester, at a time when the COVID-19 pandemic forced many teachers around the world to use modalities that involved distance learning. The genesis, implementation and results of the strategy used during the…
Descriptors: Computer Assisted Testing, Supervision, Cheating, Educational Technology
Jamie Hofrichter – ProQuest LLC, 2022
The aim of this quasi-experimental study was to incorporate a cardiac simulation into a computer exam for Level 4 nursing students to determine if it would affect their anxiety levels and overall scores. Nursing education must constantly improve as technology and evidence-based practice evolves the world of healthcare. Literature regarding…
Descriptors: Computer Simulation, Nursing Students, Anxiety, Computer Assisted Testing
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Brittany A. Dale; Carly McDonald; Raschelle Neild – Thresholds in Education, 2022
Special education laws set clear and stringent deadlines for school psychologists to complete eligibility or reevaluation assessments that are valid and comprehensive. Prior to the COVID-19 pandemic, these assessments primarily took place face-to-face and aligned with standardized assessment practices. School closures and virtual learning…
Descriptors: Telecommunications, School Psychologists, COVID-19, Pandemics
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Guher Gorgun; Okan Bulut – Educational Measurement: Issues and Practice, 2025
Automatic item generation may supply many items instantly and efficiently to assessment and learning environments. Yet, the evaluation of item quality persists to be a bottleneck for deploying generated items in learning and assessment settings. In this study, we investigated the utility of using large-language models, specifically Llama 3-8B, for…
Descriptors: Artificial Intelligence, Quality Control, Technology Uses in Education, Automation
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Wen Xin Zhang; John J. H. Lin; Ying-Shao Hsu – Journal of Computer Assisted Learning, 2025
Background Study: Assessing learners' inquiry-based skills is challenging as social, political, and technological dimensions must be considered. The advanced development of artificial intelligence (AI) makes it possible to address these challenges and shape the next generation of science education. Objectives: The present study evaluated the SSI…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Inquiry, Active Learning
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Tadd Farmer; Michael C. Johnson; Jorin D. Larsen; Lance E. Davidson – Advances in Physiology Education, 2025
Team-based learning (TBL) is an active learning instructional strategy shown to improve student learning in large-enrollment courses. Although early implementations of TBL proved generally effective in an undergraduate exercise physiology course that delivered an online individual readiness assurance test (iRAT) before class, the instructor…
Descriptors: Cooperative Learning, Active Learning, Undergraduate Students, Exercise Physiology
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Chunsong Jiang; Xuan Chen; Aiping Yu; Guiqin Liang – Education and Information Technologies, 2025
Assignments and tests are the main forms of evaluation in the educational process, students usually lose interest in boring exercises during course learning. In spired of elements from human-computer battle game, a course test system is designed to encourage students to take tests more frequently and actively to achieve better learning effect,…
Descriptors: Computer Games, Educational Games, Game Based Learning, Competition
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
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Pisut Pongchaikul; Pornpun Vivithanaporn; Nanthicha Somboon; Jitpisuth Tantasiri; Thanyarat Suwanlikit; Amornrat Sukkul; Taddaw Banyen; Athinan Prommahom; Samart Pakakasama; Artit Ungkanont – Journal of Academic Ethics, 2025
The COVID-19 pandemic significantly impacted medical education, causing a shift towards online learning. However, this transition posed challenges in administering online assessments, particularly in proctoring and detecting academic misconduct. This study aimed to investigate the prevalence of academic misconduct among medical students during…
Descriptors: COVID-19, Pandemics, Medical Education, Online Courses
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Seyma Yildirim-Erbasli; Okan Bulut; Carrie Demmans Epp; Ying Cui – Educational Technology Research and Development, 2025
Conversational agents have been designed to improve instruction quality and support student learning. In addition to their instructional use, they can be incorporated into assessment--conversation-based assessment (CBA). This study primarily introduces a CBA with selected-response and constructed-response tests as a formative assessment tool for…
Descriptors: Higher Education, Artificial Intelligence, Computer Mediated Communication, Technology Uses in Education
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Necati Taskin; Mehmet Kokoç – Education and Information Technologies, 2025
This study examines the growing issue of academic dishonesty in online assessments, a challenge intensified by the expansion of digital learning platforms. Specifically, it investigates the relationship between students' online engagement and their performance in online versus traditional paper-and-pencil tests. Employing a cross-sectional…
Descriptors: Cheating, Ethics, Computer Assisted Testing, Technology Uses in Education
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