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Dewar, Cynthia – ProQuest LLC, 2023
This study examined California Community Colleges' administrator decisions about online proctoring software during the COVID-19 global pandemic between March 2020 and June 2022. Understanding how decisions were made, by whom, what information was considered, and how information was evaluated can support more informed decision making regarding…
Descriptors: Community Colleges, Computer Software, Computer Assisted Testing, COVID-19
Melissa A. Otero – ProQuest LLC, 2024
With the advent of ChatGPT and other artificial intelligence (AI) tools, students have a new instrument that can create writing samples for them, making it easy to violate academic integrity. A constructivist grounded theory multiple-case study was conducted to address faculty perceptions of ChatGPT as a tool for learning and teaching instead of a…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Cheating
Ma, Leo F. H.; Horban, Yurii; Skachenko, Olena – portal: Libraries and the Academy, 2022
This study explores the role of the Chinese University of Hong Kong (CUHK) Library and the Scientific Library of the Kyiv National University of Culture and Arts (KNUCA) in Ukraine in enhancing academic integrity in the university community. It compares the methods of academic integrity training offered by the libraries of the two universities…
Descriptors: Foreign Countries, Integrity, Ethics, Cheating
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
Dawson, Phillip; Sutherland-Smith, Wendy; Ricksen, Mark – Assessment & Evaluation in Higher Education, 2020
Contract cheating happens when students outsource their assessed work to a third party. One approach that has been suggested for improving contract cheating detection is comparing students' assignment submissions with their previous work, the rationale being that changes in style may indicate a piece of work has been written by somebody else. This…
Descriptors: Cheating, Identification, Accuracy, Computer Software
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
Jill Oeding; Theresa Gunn; Aleisha Jones – Online Journal of Distance Learning Administration, 2024
This quantitative study is designed to determine the impact of online proctoring software in graduate courses. The researchers compared the final grades of two groups of online graduate students who were taught by professors who had online exams before and after the university implemented proctoring software. Essentially the only difference…
Descriptors: Supervision, Electronic Learning, Computer Software, Tests
Darmansyah; Darman, Regina Ade – International Journal of Instruction, 2022
Cheating behaviour in exams in the form of plagiarism occurs in school and college education. Academic fraud is common at the higher education level at the undergraduate, master's level, and even at the doctoral level. Academic fraud is getting out of control and is difficult to eradicate on examinations carried out online without strict…
Descriptors: Plagiarism, Doctoral Programs, Doctoral Students, Computer Software
Lakshminarayanan, Srinivasan; Rao, N. J. – Higher Education for the Future, 2022
There are many grey areas in the interpretation of academic integrity in the course on Introduction to Programming, commonly known as CS1. Copying, for example, is a method of learning, a method of cheating and a reuse method in professional practice. Many institutions in India publish the code in the lab course manual. The students are expected…
Descriptors: Integrity, Cheating, Duplication, Introductory Courses
Surahman, Ence; Wang, Tzu-Hua – Journal of Computer Assisted Learning, 2022
Background: Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental issues in the context of an online assessment. However, little systematic work currently exists on how researchers have explored AD and TA issues in online assessment practice. Objectives: Hence, this research aimed at investigating the latest findings regarding…
Descriptors: Ethics, Trust (Psychology), Computer Assisted Testing, Educational Technology
Jenkins, Baylee D.; Golding, Jonathan M.; Le Grand, Alexis M.; Levi, Mary M.; Pals, Andrea M. – Teaching of Psychology, 2023
Background: The COVID-19 pandemic led to significant, unforeseen changes in classroom instructions, including the evaluation of students. Objective: The purpose of this study was to investigate college students' cheating both before and during the COVID-19 pandemic in terms of (a) preponderance of cheating, (b) the factors that may have led to an…
Descriptors: COVID-19, Pandemics, Cheating, Student Behavior
Huiling Ma; Lilliati Ismail; Weijing Han – Education and Information Technologies, 2024
The advancement and application of Artificial Intelligence (AI) has introduced innovative changes in language learning and teaching. In particular, the widespread utilization of various chatbots as foreign language learning partners showcases their remarkable potential contribution to the field. Nevertheless, there are currently few studies that…
Descriptors: Bibliometrics, Artificial Intelligence, Computer Software, Second Language Learning
Cristyne Hébert – in education, 2021
As COVID-19 spread in early 2020, a lockdown was implemented across Canadian provinces and territories, resulting in the shuttering of physical post-secondary campuses. Universities quickly pivoted to remote learning, and faculty members adjusted their instructional and assessment approaches to align with virtual environments. Presumably to aid…
Descriptors: Foreign Countries, Computer Software, Supervision, Computer Assisted Testing
Hoseana, Jonathan; Stepanus, Oriza; Octora, Elvina – International Journal of Mathematical Education in Science and Technology, 2023
As educational systems move from onsite to online due to the COVID-19 pandemic, teachers face the difficulty of designing online examination formats which minimize opportunities for dishonesty. In this paper, we expose our design of such a format: a protected Microsoft Excel spreadsheet containing short-answer questions, which was implemented in a…
Descriptors: Plagiarism, Calculus, Algebra, Computer Software
Yalçin Dilekli; Serkan Boyraz – International Journal of Modern Education Studies, 2024
This research was conducted to see if using ChatGPT prompts students to think more deeply through reflection reports. The case study method and qualitative research methodology were used to carry out this study. Five graduate students in the Curriculum and Instruction department at Aksaray University's Social Sciences Institute who were teachers…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Technology Uses in Education

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