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Singh, Sneha; Kumar, Amit; Arya, Aditya – Biochemistry and Molecular Biology Education, 2022
The emergence of the global pandemic, SARS-CoV-2 has posed several challenges to education across the globe and led to the emergence and progression of newer methods of teaching and assessment. While online teaching has been quickly adopted and implemented across the globe, exams and assessment remain poorly managed both at an elementary and…
Descriptors: Cheating, Supervision, COVID-19, Pandemics
Koretsky, Milo D.; McColley, Campbell J.; Gugel, James L.; Ekstedt, Thomas W. – Journal of Engineering Education, 2022
Background: Authentic assessment and two-stage exams have recently received attention; however, they are rarely used together. We reimagine assessment by integrating an authentic, computer-based assessment into the structure of a two-stage exam in a large engineering class. Purpose: We seek to identify ways that such assessment extends classroom…
Descriptors: Performance Based Assessment, Alignment (Education), Engineering Education, Computer Assisted Testing
St-Onge, Christina; Ouellet, Kathleen; Lakhal, Sawsen; Dubé, Tim; Marceau, Mélanie – British Journal of Educational Technology, 2022
The COVID-19 pandemic provoked an urgency for many educators to integrate digital information and communication technologies in their educational practices. We explored how faculty members tackled the task of adapting their assessment practices during the pandemic to identify what is required to sustain and favour future quality development and…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Higher Education
Firoozi, Tahereh; Bulut, Okan; Epp, Carrie Demmans; Naeimabadi, Ali; Barbosa, Denilson – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) using neural networks has helped increase the accuracy and efficiency of scoring students' written tasks. Generally, the improved accuracy of neural network approaches has been attributed to the use of modern word embedding techniques. However, which word embedding techniques produce higher accuracy in AES systems…
Descriptors: Computer Assisted Testing, Scoring, Essays, Artificial Intelligence
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
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
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
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
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
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
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
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
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
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

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