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Lemantara, Julianto; Hariadi, Bambang; Sunarto, M. J. Dewiyani; Amelia, Tan; Sagirani, Tri – IEEE Transactions on Learning Technologies, 2023
A quick and effective learning assessment is needed to evaluate the learning process. Many tools currently offer automatic assessment for subjective and objective questions; however, there is no such free tool that provides plagiarism detection among students for subjective questions in a learning management system (LMS). This article aims to…
Descriptors: Students, Cheating, Prediction, Essays
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
Awdry, Rebecca – Assessment & Evaluation in Higher Education, 2021
The extent and reach of commercial cheating opportunities is ever present; thousands of websites promote differing business models offering assignments in multiple languages and currencies. In addition to commercial companies, students are known to outsource their assignments from friends and family. Assignment outsourcing and contract cheating…
Descriptors: Assignments, Outsourcing, Cheating, Contracts
Comas-Forgas, Rubén; Sureda-Negre, Jaume; Morey-López, Mercè – Assessment & Evaluation in Higher Education, 2021
This article analyses the advertisements inserted in search engines of Spanish academic services websites in 2018 and 2019. Content analysis of these advertisements, conducted through the use of Semrush (Search Engine Optimization SEO and Search Engine Marketing SEM audit platform), shows that a large number of platforms offer to write academic…
Descriptors: Foreign Countries, Cheating, Contracts, Marketing
Chad C. Tossell; Nathan L. Tenhundfeld; Ali Momen; Katrina Cooley; Ewart J. de Visser – IEEE Transactions on Learning Technologies, 2024
This article examined student experiences before and after an essay writing assignment that required the use of ChatGPT within an undergraduate engineering course. Utilizing a pre-post study design, we gathered data from 24 participants to evaluate ChatGPT's support for both completing and grading an essay assignment, exploring its educational…
Descriptors: Student Attitudes, Computer Software, Artificial Intelligence, Grading
Heather Johnston; Rebecca F. Wells; Elizabeth M. Shanks; Timothy Boey; Bryony N. Parsons – International Journal for Educational Integrity, 2024
The aim of this project was to understand student perspectives on generative artificial intelligence (GAI) technologies such as Chat generative Pre-Trained Transformer (ChatGPT), in order to inform changes to the University of Liverpool Academic Integrity code of practice. The survey for this study was created by a library student team and vetted…
Descriptors: Artificial Intelligence, Higher Education, Student Attitudes, Universities
Lancaster, Thomas – International Journal for Educational Integrity, 2020
As the contract cheating market has become more sophisticated and competition has intensified, the contract cheating industry has had to redevelop its approach to gain custom. The industry has developed new models of internal operation and providers are using more sophisticated techniques to reach potential customers. This paper discusses contract…
Descriptors: Contracts, Outsourcing, Cheating, Web Sites
Trezise, Kelly; Ryan, Tracii; de Barba, Paula; Kennedy, Gregor – Journal of Learning Analytics, 2019
Rural teachers and educators are increasingly called upon to build partnerships with families who use languages other than English in the home (US DOE, 2016). This is equally true for rural schools, where the number of multilingual families is small, and the language and cultural backgrounds of students differs from those of school. This article…
Descriptors: College Students, Cheating, Identification, Learning Analytics
Ellis, Cath; Zucker, Ian Michael; Randall, David – International Journal for Educational Integrity, 2018
While there is growing awareness of the existence and activities of Academic Custom Writing websites, which form a small part of the contract cheating industry, how they work remains poorly understood. Very little research has been done on these sites, probably because it has been assumed that it is impossible to see behind their firewalls and…
Descriptors: Cheating, Contracts, Web Sites, Academic Discourse
Foltýnek, Tomáš; Králíková, Veronika – International Journal for Educational Integrity, 2018
Contract cheating is currently one of the most serious academic integrity issues around the globe. Numerous studies have been conducted, mostly in English speaking countries. So far, no such research has been conducted in Czechia, and consequently there have been no specific data available on Czech students' fraudulent behaviour. For this study,…
Descriptors: Foreign Countries, Contracts, Cheating, Plagiarism
Draper, Michael J.; Ibezim, Victoria; Newton, Philip M. – International Journal for Educational Integrity, 2017
Many strategies have been proposed to address the use of Essay Mills and other 'contract cheating' services by students. These services generally offer bespoke custom-written essays or other assignments to students in exchange for a fee. There have been calls for the use of legal approaches to tackle the problem. Here we determine whether the UK…
Descriptors: Foreign Countries, Federal Legislation, Essays, Cheating
Medway, Dominic; Roper, Stuart; Gillooly, Leah – British Educational Research Journal, 2018
Contract cheating is currently a concern for universities and the higher education (HE) sector. It has been brought into the spotlight in recent years through the growth of online essay mills, where students can easily commission and purchase written assessment responses. This study contributes to the wider literature on academic integrity in HE…
Descriptors: Cheating, Contracts, College Students, Higher Education
Balbay, Seher; Kilis, Selcan – Contemporary Educational Technology, 2019
This cross-sectional survey study investigates students' perceptions of the effectiveness of Turnitin in detecting plagiarism in academic presentation slides. The data was collected online from 311 students studying at a prominent English-medium instruction university in Turkey. The findings indicated that more than half of them believed in the…
Descriptors: Program Effectiveness, Foreign Countries, Computer Software, Plagiarism
Rogerson, Ann M. – International Journal for Educational Integrity, 2017
Detecting contract cheating in written submissions can be difficult beyond direct plagiarism detectable via technology. Successfully identifying potential cases of contract cheating in written work such as essays and reports is largely dependent on the experience of assessors and knowledge of student. It is further dependent on their familiarity…
Descriptors: Cheating, Essays, Graduate Students, Integrity
Lines, Lisa – Teaching in Higher Education, 2016
Ghostwriting is difficult to detect, it has the potential to be high quality, and universities do not currently have adequate policies in place to police it. Determining the quality of the ghostwriting services available to tertiary students is of vital importance because underestimating the potential for students to use these services to pass…
Descriptors: Foreign Countries, Educational Quality, Online Vendors, Cheating
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