Publication Date
In 2025 | 4 |
Since 2024 | 31 |
Descriptor
Cheating | 31 |
Computer Assisted Testing | 31 |
Foreign Countries | 14 |
COVID-19 | 10 |
Electronic Learning | 10 |
Pandemics | 10 |
College Students | 9 |
Student Attitudes | 9 |
Supervision | 8 |
Artificial Intelligence | 7 |
Computer Software | 7 |
More ▼ |
Source
Author
Publication Type
Journal Articles | 28 |
Reports - Research | 25 |
Information Analyses | 3 |
Tests/Questionnaires | 2 |
Books | 1 |
Collected Works - General | 1 |
Dissertations/Theses -… | 1 |
Guides - Non-Classroom | 1 |
Education Level
Higher Education | 16 |
Postsecondary Education | 16 |
Secondary Education | 3 |
High Schools | 2 |
Elementary Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Audience
Administrators | 1 |
Location
Iran | 3 |
South Africa | 3 |
Germany | 2 |
Australia | 1 |
Belgium | 1 |
Canada | 1 |
Ecuador | 1 |
Egypt | 1 |
Finland | 1 |
France | 1 |
Greece | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Jinshui Wang; Shuguang Chen; Zhengyi Tang; Pengchen Lin; Yupeng Wang – Education and Information Technologies, 2025
Mastering SQL programming skills is fundamental in computer science education, and Online Judging Systems (OJS) play a critical role in automatically assessing SQL codes, improving the accuracy and efficiency of evaluations. However, these systems are vulnerable to manipulation by students who can submit "cheating codes" that pass the…
Descriptors: Programming, Computer Science Education, Cheating, Computer Assisted Testing
Ebru Balta; Celal Deha Dogan – SAGE Open, 2024
As computer-based testing becomes more prevalent, the attention paid to response time (RT) in assessment practice and psychometric research correspondingly increases. This study explores the rate of Type I error in detecting preknowledge cheating behaviors, the power of the Kullback-Leibler (KL) divergence measure, and the L person fit statistic…
Descriptors: Cheating, Accuracy, Reaction Time, Computer Assisted Testing
Yang Zhen; Xiaoyan Zhu – Educational and Psychological Measurement, 2024
The pervasive issue of cheating in educational tests has emerged as a paramount concern within the realm of education, prompting scholars to explore diverse methodologies for identifying potential transgressors. While machine learning models have been extensively investigated for this purpose, the untapped potential of TabNet, an intricate deep…
Descriptors: Artificial Intelligence, Models, Cheating, Identification
Meljun Barnayha; Gamaliel Gonzales; Rachel Lavador; Jessamae Martel; Ma. Kathleen Urot; Roselyn Gonzales – Psychology in the Schools, 2025
This study examines the determinants of online academic dishonesty using the theory of planned behavior. We surveyed 1087 college students in Central Philippines and utilized a partial least squares-structural equation modeling analysis to evaluate a proposed model. Results demonstrate that 10 of the 11 hypothesized relationships are statistically…
Descriptors: Self Control, Cheating, Intervention, Ethics
Shengnan Han; Shahrokh Nikou; Workneh Yilma Ayele – International Journal of Educational Management, 2024
Purpose: To improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.…
Descriptors: Computer Assisted Testing, Supervision, Higher Education, Cheating
Maite Alguacil; Noemí Herranz-Zarzoso; José C. Pernías; Gerardo Sabater-Grande – Journal of Computing in Higher Education, 2024
Cheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test.…
Descriptors: Cheating, Computer Assisted Testing, Randomized Controlled Trials, Supervision
Andrea E. Green – ProQuest LLC, 2024
No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…
Descriptors: College Students, Cheating, Online Courses, Intervention
Philip M. Newton; Keioni Essex – Journal of Academic Ethics, 2024
Academic misconduct is a threat to the validity and reliability of online examinations, and media reports suggest that misconduct spiked dramatically in higher education during the emergency shift to online exams caused by the COVID-19 pandemic. This study reviewed survey research to determine how common it is for university students to admit…
Descriptors: Cheating, Tests, Electronic Learning, COVID-19
Anna Filighera; Sebastian Ochs; Tim Steuer; Thomas Tregel – International Journal of Artificial Intelligence in Education, 2024
Automatic grading models are valued for the time and effort saved during the instruction of large student bodies. Especially with the increasing digitization of education and interest in large-scale standardized testing, the popularity of automatic grading has risen to the point where commercial solutions are widely available and used. However,…
Descriptors: Cheating, Grading, Form Classes (Languages), Computer Software
Colette Melissa Kell; Yasmeen Thandar; Adelle Kemlall Bhundoo; Firoza Haffejee; Bongiwe Mbhele; Jennifer Ducray – Journal of Applied Research in Higher Education, 2025
Purpose: Academic integrity is vital to the success and sustainability of the academic project and particularly critical in the training of ethical and informed health professionals. Yet studies have found that cheating in online exams was commonplace during the COVID-19 pandemic. With the increased use of online and blended learning…
Descriptors: Foreign Countries, Universities, Integrity, Cheating
Richard Fendler; David Beard; Jonathan Godbey – Electronic Journal of e-Learning, 2024
The rapid growth of online education, especially since the pandemic, is presenting educators with numerous challenges. Chief among these is concern about academic dishonesty, especially on unproctored online exams. Students cheating on exams is not a new phenomenon. The topic has been discussed and debated within institutions of higher learning,…
Descriptors: Cheating, Computer Assisted Testing, Supervision, Student Behavior
Eunjeong Park – Language Teaching Research Quarterly, 2024
It is fundamental for language teachers to assess their students' performance. Therefore, they should be familiar with various forms of assessments because teaching and assessing languages are closely related and have a great deal to do with one another. This study examined EFL preservice teachers' perceptions of assessment literacy at a…
Descriptors: Preservice Teachers, Student Attitudes, Assessment Literacy, Preservice Teacher Education
Dilky Felsinger; Thilina Halloluwa; Ishani Fonseka – Education and Information Technologies, 2024
Academic misconduct is a growing problem in online education. While there are ways to curb academic misconduct in online exams, utilization of technology to proctor online exams in a simple manner in limited-resource settings remain unclear. This study set out to identify a reliable technique for utilizing webcam footage to identify instances of…
Descriptors: Video Technology, Computer Assisted Testing, Supervision, Depleted Resources
Hany Zayed – Learning, Media and Technology, 2024
This article examines academic cheating in Egyptian secondary education at a time of assessment fetishization, educational digitalization and pandemic exceptionalism. It shows how, while promising a tighter grip on assessment, digital technologies afforded a new modality of cheating with a scale and speed unprecedented in Egyptian educational…
Descriptors: Cheating, Secondary Education, Foreign Countries, Technology
Phillip Dawson; Kelli Nicola-Richmond; Helen Partridge – Assessment & Evaluation in Higher Education, 2024
Educators set restrictions in examinations to enable them to assess learning outcomes under particular conditions. The open book versus closed book binary is an example of the sorts of restrictions examiners have traditionally set. In the late 2000s this was expanded to a trinary to include open web examinations. However, the current technology…
Descriptors: Electronic Learning, Computer Assisted Testing, Supervision, Cheating