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Mike Perkins; Jasper Roe; Binh H. Vu; Darius Postma; Don Hickerson; James McGaughran; Huy Q. Khuat – International Journal of Educational Technology in Higher Education, 2024
This study investigates the efficacy of six major Generative AI (GenAI) text detectors when confronted with machine-generated content modified to evade detection (n = 805). We compare these detectors to assess their reliability in identifying AI-generated text in educational settings, where they are increasingly used to address academic integrity…
Descriptors: Artificial Intelligence, Inclusion, Computer Software, Word Processing
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
Roseyoana Logisian Subekti; Herdian Herdian; Zalik Nuryana – Electronic Journal of Research in Educational Psychology, 2024
Introduction: This study aimed to investigate the relationship between Achievement Goal Orientation, Self-Efficacy, and Academic Dishonesty among college students during online learning. Method: A total of 238 students from students colleges in Indonesia completed an online questionnaire consisting of scales measuring Achievement Goal Orientation,…
Descriptors: Outcomes of Education, Electronic Learning, Goal Orientation, Self Efficacy
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
Slade C. McAfee; Jon-Marc G. Rodriguez – Journal of Chemical Education, 2024
Academic integrity is often a concern instructors have when teaching, with past research indicating the classroom environment is one of the largest factors in determining students' likelihood to cheat. In this commentary, we intend to start a dialogue with instructors regarding the importance of creating a classroom environment that values…
Descriptors: Science Instruction, Chemistry, Undergraduate Study, Course Descriptions
Kong, Eugene H. – Journal of Educators Online, 2023
Letter grading systems in education have been widely accepted as a strong medium to assess the educational performance of students across the world. It has been a successful system for many years because it can motivate students to achieve satisfactory grades in a course. However, recent studies indicate that grades can also foster anxiety and…
Descriptors: Evaluation Methods, Self Evaluation (Individuals), Distance Education, Grading
Stone, Anna – Journal of Academic Ethics, 2023
Background: Academic integrity (AI) is of increasing importance in higher education. At the same time, students are becoming more consumer-oriented and more inclined to appeal against, or complain about, a penalty imposed for a breach of AI. This combination of factors places pressure on institutions of higher education to handle alleged breaches…
Descriptors: Integrity, Cheating, Ethics, Plagiarism
Cingillioglu, Ilker – International Journal of Information and Learning Technology, 2023
Purpose: With the advent of ChatGPT, a sophisticated generative artificial intelligence (AI) tool, maintaining academic integrity in all educational settings has recently become a challenge for educators. This paper discusses a method and necessary strategies to confront this challenge. Design/methodology/approach: In this study, a language model…
Descriptors: Artificial Intelligence, Essays, Integrity, Cheating
Did Online Education Exacerbate Contract Cheating during COVID-19 in China? Evidence from Sina Weibo
Xiong, Yangchun; Pan, Zixuan; Yang, Ling – Journal of Information Technology Education: Research, 2023
Aim/Purpose: The purpose of this study is to explore the correlation between contract cheating and online education in China, which has become a major concern due to the extensive promotion of online education worldwide amid the COVID-19 pandemic. Background: Contract cheating, also known as academic ghostwriting, refers to the act of students…
Descriptors: Foreign Countries, Correlation, Cheating, Online Courses
Benson, Lyle; Enstroem, Rickard – International Journal for Educational Integrity, 2023
It is well known that students intentionally and unintentionally commit academic misconduct, but how can universities prevent academic misconduct and foster a culture of academic integrity? Based on a literature synthesis, an actionable Model for Preventing Academic Misconduct is presented. The model's basic premise is that students' voluntary…
Descriptors: Prevention, Cheating, Ethics, Business Education
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
Olivier Leclerc – Research Evaluation, 2025
Detecting and punishing violations of research integrity requires first having to prove them. However, establishing proof of research misconduct presents a number of challenges. Firstly, it has to be conducted in a variety of contexts, including before research integrity officers, university disciplinary committees, civil courts, criminal courts,…
Descriptors: Cheating, Research, Identification, Integrity
Hossain, Zakir – International Journal for Educational Integrity, 2022
Academic Integrity Literacy (AIL) is a critical transdisciplinary skill for academic success but many students do not receive this skill in their K-12 years regardless of their schooling system or characteristics of the community they belong to. Numerous research studies in higher education document that high school graduates lack AIL skills, but…
Descriptors: College Freshmen, Integrity, Cheating, Elementary Secondary Education
Levin, Nathan; Baker, Ryan S.; Nasiar, Nidhi; Fancsali, Stephen; Hutt, Stephen – International Educational Data Mining Society, 2022
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating
Gülü, Mehmet; Yapici, Hakan – International Journal of Curriculum and Instruction, 2022
The aim of this research was to explore the attitudes of elite athletes towards performance enhancement through banned substances. In this study, survey model, which is one of the quantitative research methods, was used. Purposive sampling method was used in the data collection process. Participants consisted of a sample group of elite athletes (n…
Descriptors: Athletes, Attitudes, Drug Use, Cheating