Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 23 |
| Since 2017 (last 10 years) | 43 |
| Since 2007 (last 20 years) | 68 |
Descriptor
| Cheating | 105 |
| Testing | 105 |
| Foreign Countries | 31 |
| College Students | 27 |
| Ethics | 23 |
| Higher Education | 21 |
| High Stakes Tests | 20 |
| Scores | 19 |
| Computer Assisted Testing | 18 |
| Student Behavior | 18 |
| Student Attitudes | 17 |
| More ▼ | |
Source
Author
| Berliner, David C. | 3 |
| Houston, John P. | 3 |
| Nichols, Sharon L. | 2 |
| Abplanalp, Paul | 1 |
| Agago, Menna | 1 |
| Agata Gasiorowska | 1 |
| Aiken, Lewis R. | 1 |
| Alper Bayazit | 1 |
| Amrein-Beardsley, Audrey | 1 |
| Angoff, William H. | 1 |
| Arimi, Milton | 1 |
| More ▼ | |
Publication Type
Education Level
Location
| New York | 5 |
| Texas | 4 |
| United States | 4 |
| District of Columbia | 3 |
| Japan | 3 |
| Canada | 2 |
| China | 2 |
| Ethiopia | 2 |
| Georgia | 2 |
| Netherlands | 2 |
| South Africa | 2 |
| More ▼ | |
Laws, Policies, & Programs
| No Child Left Behind Act 2001 | 4 |
| Race to the Top | 1 |
Assessments and Surveys
| General Educational… | 1 |
| Program for International… | 1 |
| SAT (College Admission Test) | 1 |
| Stanford Achievement Tests | 1 |
| Texas Assessment of Academic… | 1 |
What Works Clearinghouse Rating
Meng, Huijuan; Ma, Ye – Educational Measurement: Issues and Practice, 2023
In recent years, machine learning (ML) techniques have received more attention in detecting aberrant test-taking behaviors due to advantages when compared to traditional data forensics methods. However, defining "True Test Cheaters" is challenging--different than other fraud detection tasks such as flagging forged bank checks or credit…
Descriptors: Artificial Intelligence, Cheating, Testing, Information Technology
Li Zhao; Junjie Peng; Shiqi Ke; Kang Lee – Educational Psychology Review, 2024
Unproctored and teacher-proctored exams have been widely used to prevent cheating at many universities worldwide. However, no empirical studies have directly compared their effectiveness in promoting academic integrity in actual exams. To address this significant gap, in four preregistered field studies, we examined the effectiveness of…
Descriptors: Supervision, Tests, Testing, Integrity
Maciej Koscielniak; Jolanta Enko; Agata Gasiorowska – Journal of Academic Ethics, 2024
Examination dishonesty is a global problem that became particularly critical after the outbreak of the COVID-19 pandemic and the shift to remote learning. Academic research has often examined this phenomenon as only one aspect of a broader concept of academic dishonesty and as a one-dimensional construct. This article builds on existing knowledge…
Descriptors: Foreign Countries, Students, Ethics, Cheating
The Use of Theory of Linear Mixed-Effects Models to Detect Fraudulent Erasures at an Aggregate Level
Peng, Luyao; Sinharay, Sandip – Educational and Psychological Measurement, 2022
Wollack et al. (2015) suggested the erasure detection index (EDI) for detecting fraudulent erasures for individual examinees. Wollack and Eckerly (2017) and Sinharay (2018) extended the index of Wollack et al. (2015) to suggest three EDIs for detecting fraudulent erasures at the aggregate or group level. This article follows up on the research of…
Descriptors: Cheating, Identification, Statistical Analysis, Testing
Liandi van den Berg – International Journal for Educational Integrity, 2025
Due to the coronavirus disease 2019 (COVID-2019) and the sudden shift to online learning, higher education institutions adopted various approaches to reduce cheating in online assessments, mainly involving online live proctoring (OLP). The international assessment integrity regulation trend also applied to a university in South Africa, where…
Descriptors: Foreign Countries, College Faculty, College Students, Computer Assisted Testing
Lang, Joseph B. – Journal of Educational and Behavioral Statistics, 2023
This article is concerned with the statistical detection of copying on multiple-choice exams. As an alternative to existing permutation- and model-based copy-detection approaches, a simple randomization p-value (RP) test is proposed. The RP test, which is based on an intuitive match-score statistic, makes no assumptions about the distribution of…
Descriptors: Identification, Cheating, Multiple Choice Tests, Item Response Theory
Brittland K. DeKorver; Mitchell Krahulik; Deborah G. Herrington – Journal of Chemical Education, 2023
The COVID-19 pandemic confronted chemistry instructors worldwide with many new challenges as they were quickly required to make the shift to remote instruction. One of these challenges was administering assessments in an online format. This was the topic of many discussions in the online support group Strategies for Teaching Chemistry (SFTC). This…
Descriptors: Chemistry, Science Teachers, Teacher Attitudes, COVID-19
Jiang, Zhuhan; Huang, Jiansheng – IEEE Transactions on Learning Technologies, 2022
Advanced digital technologies and social media have greatly improved both the learning experience and the assessment convenience, while inadvertently facilitated potential plagiarism and collaborative cheating at the same time. In this article, we will focus on the strategies and their technological implementations to run exams, or in-class tests…
Descriptors: Plagiarism, Educational Technology, Computer Assisted Testing, Cheating
Patrik Holm; Ulrik Terp; Christina Fjaeraa Alfredsson – Discover Education, 2025
Academic dishonesty is a growing problem in higher education. This study examines students' attitudes toward cheating. The sample consisted of 318 students enrolled in health science courses at a Swedish university. A survey-based quantitative approach was employed, integrating qualitative responses from open-ended questions. We investigated…
Descriptors: Cheating, Student Attitudes, College Students, Tests
Kaiwen Man – Educational and Psychological Measurement, 2024
In various fields, including college admission, medical board certifications, and military recruitment, high-stakes decisions are frequently made based on scores obtained from large-scale assessments. These decisions necessitate precise and reliable scores that enable valid inferences to be drawn about test-takers. However, the ability of such…
Descriptors: Prior Learning, Testing, Behavior, Artificial Intelligence
Ross, Linette P. – ProQuest LLC, 2022
One of the most serious forms of cheating occurs when examinees have item preknowledge and prior access to secure test material before taking an exam for the purpose of obtaining an inflated test score. Examinees that cheat and have prior knowledge of test content before testing may have an unfair advantage over examinees that do not cheat. Item…
Descriptors: Testing, Deception, Cheating, Identification
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
Phelps, Richard P. – Online Submission, 2020
Ten years ago, the author worked as the Director of Assessments for the District of Columbia Public Schools (DCPS). For temporal context, the author arrived after the first of the infamous test cheating scandals and left just before the incident that spawned a second. Indeed, the author filled a new position created to both manage test security…
Descriptors: Educational Change, School Districts, Public Schools, Testing
Doerr, Katherine – Cultural Studies of Science Education, 2021
Cheating, a form of academic dishonesty, is commonly regarded as a problem in science education. This inquiry theorizes cheating not as a moral failing on the part of students or a lack of surveillance by teachers but rather as a resistance to testing. Ethnographic data from a university physical science department, analyzed with Michel Foucault's…
Descriptors: Testing, Cheating, Ethics, Moral Values
Would You Bribe Your Lecturer? A Quasi-Experimental Study on Burnout and Bribery in Higher Education
Weißmüller, Kristina S.; De Waele, Lode – Research in Higher Education, 2022
Bribery is a complex and critical issue in higher education (HE), causing severe economic and societal harm. Traditionally, most scholarship on HE corruption has focused on institutional factors in developing countries and insights into the psychological and motivational factors that drive HE bribery on the micro-level mechanisms are virtually…
Descriptors: Higher Education, Ethics, College Students, Antisocial Behavior

Peer reviewed
Direct link
