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Jonathan Hoseana; Andy Leonardo Louismono; Oriza Stepanus – International Journal of Mathematical Education in Science and Technology, 2025
We describe and evaluate a method to mitigate unwanted student collaborations in assessments, which we recently implemented in a second-year undergraduate mathematics module. The method requires a list of specific pairs of students to be prevented from collaborating, which we constructed based on the results of previous assessments. We converted…
Descriptors: Graphs, Color, College Mathematics, Undergraduate Students
Som Nath Ghimire; Upaj Bhattarai; Raj K. Baral – Journal of Academic Ethics, 2024
The problem of academic dishonesty in general and exam cheating in particular, has been ubiquitous in schools, colleges, and universities around the world. This paper reports on the findings from teachers' and students' experiences and perceptions of exam cheating at Nepali schools, colleges, and universities. In so doing, the paper highlights the…
Descriptors: Ethics, Cheating, Foreign Countries, College Students
Mike Perkins; Jasper Roe; Darius Postma; James McGaughran; Don Hickerson – Journal of Academic Ethics, 2024
This study explores the capability of academic staff assisted by the Turnitin Artificial Intelligence (AI) detection tool to identify the use of AI-generated content in university assessments. 22 different experimental submissions were produced using Open AI's ChatGPT tool, with prompting techniques used to reduce the likelihood of AI detectors…
Descriptors: Artificial Intelligence, Student Evaluation, Identification, Natural Language Processing
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
Jo-ann Larkins; Katherine Seaton – Assessment & Evaluation in Higher Education, 2024
That the manifestation of cheating varies between disciplines is rarely discussed, an unspoken assumption being that assessment takes the form of written prose supported by a bibliography. Students and academics from disciplines, such as mathematics, not fitting this model can feel that their work is regarded as an aberration. 'Plagiarism' is not…
Descriptors: Cheating, Mathematics Instruction, Intellectual Disciplines, Plagiarism
Alireza Maleki – Journal of Academic Ethics, 2024
The evaluation of students in online education poses a notable challenge, primarily due to the potential violation of academic integrity caused by various forms of cheating during online examinations. This study aims to explore the perspectives of English as a Foreign Language (EFL) learners on the reasons for online exam cheating. The study was…
Descriptors: English (Second Language), Second Language Learning, Distance Education, Online Courses
Integrity of Best-Answer Assignments in Large-Enrollment Classes: The Role of Compulsory Attribution
Kurt Schmitz; Veda C. Storey – Journal of Teaching and Learning with Technology, 2024
Many instructional methods that focus on analytical, skill, and competency development have a single or small set of appropriate answers. Best-answer assignments are popular for largeenrollment classes because of the relative ease with which scoring and feedback can be managed at scale. However, cheating is regularly confirmed at disturbingly high…
Descriptors: Large Group Instruction, Assignments, Integrity, Student Evaluation
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
Len Chan – Canadian Journal of Action Research, 2025
Anonymous marking, as a means to mitigate bias in grading, involves evaluating student work with their identities withheld. Anonymous marking is explored in this self-study to mitigate implicit bias, which negated a practitioner-researcher's educational values. The mixed methods action research findings show withholding student identities during…
Descriptors: Grading, Evaluation Methods, Student Evaluation, Bias
Qualitative Assessment of the Views of Academic Honesty among Freshmen in a Physiology-Based Program
Emily J. Ryan; Lori Sherlock; Edward Ryan; Miriam Leary – Advances in Physiology Education, 2025
Academic dishonesty is becoming more common among university students in science, technology, engineering, and mathematics (STEM)-based programs. This is concerning because these students hold positions of responsibility in their professional careers. The purpose of this qualitative study was to examine if a student's academic standing and/or…
Descriptors: College Freshmen, Ethics, Integrity, Cheating
Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
Jasper Roe; Mike Perkins; Gi Kunchana Chonu; Abhishek Bhati – Higher Education Research and Development, 2024
In this article we report on a study of higher education students' (N = 256) perceptions on the willingness, pressure, and frequency of their peers to cheat in online assessments at an Australian university in Singapore during the COVID-19 induced Online Teaching and Assessment period (COTA). MANOVA was used to identify the differences in…
Descriptors: Student Attitudes, Cheating, COVID-19, Pandemics
Matthew Landers – Higher Education for the Future, 2025
This article presents a brief overview of the state-of-the-art in large language models (LLMs) like ChatGPT and discusses the difficulties that these technologies create for educators with regard to assessment. Making use of the 'arms race' metaphor, this article argues that there are no simple solutions to the 'AI problem'. Rather, this author…
Descriptors: Ethics, Cheating, Plagiarism, Artificial Intelligence
Shashi Nallaya; Sheridan Gentili; Scott Weeks; Katherine Baldock – Issues in Educational Research, 2024
Various factors such as regulatory body mandates, graduate employability challenges, decreasing student engagement and increasing academic misconduct in higher education have motivated universities to explore alternative approaches to teach and assess. Accordingly, the oral assessment has taken precedence in many contexts as a popular form of…
Descriptors: Test Validity, Test Reliability, Cheating, Higher Education
Gwyneth Cliver – Unterrichtspraxis/Teaching German, 2025
Since fall 2021, the author has practiced a method of ungrading, labor-based contract grading, in all courses in the small German program at the University of Nebraska at Omaha. The author has anecdotally observed less anxiety, fewer incidents of cheating, more cooperation among students, stronger rapport between students and instructors, growth…
Descriptors: Motivation, Anxiety, Stress Management, Grading
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