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Henderson, Michael; Chung, Jennifer; Awdry, Rebecca; Ashford, Cliff; Bryant, Mike; Mundy, Matthew; Ryan, Kris – International Journal for Educational Integrity, 2023
Discussions around assessment integrity often focus on the exam conditions and the motivations and values of those who cheated in comparison with those who did not. We argue that discourse needs to move away from a binary representation of cheating. Instead, we propose that the conversation may be more productive and more impactful by focusing on…
Descriptors: College Students, Computer Assisted Testing, Cheating, Ambiguity (Semantics)
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
Meljun Barnayha; Gamaliel Gonzales; Rachel Lavador; Jessamae Martel; Ma. Kathleen Urot; Roselyn Gonzales – Psychology in the Schools, 2025
This study examines the determinants of online academic dishonesty using the theory of planned behavior. We surveyed 1087 college students in Central Philippines and utilized a partial least squares-structural equation modeling analysis to evaluate a proposed model. Results demonstrate that 10 of the 11 hypothesized relationships are statistically…
Descriptors: Self Control, Cheating, Intervention, Ethics
Shengnan Han; Shahrokh Nikou; Workneh Yilma Ayele – International Journal of Educational Management, 2024
Purpose: To improve the academic integrity of online examinations, digital proctoring systems have recently been implemented in higher education institutions (HEIs). The paper aims to understand how digital proctoring has been practised in higher education (HE) and proposes future research directions for studying digital proctoring in HE.…
Descriptors: Computer Assisted Testing, Supervision, Higher Education, Cheating
Conijn, Rianne; Kleingeld, Ad; Matzat, Uwe; Snijders, Chris – Journal of Computer Assisted Learning, 2022
Background: Online and blended learning need an appropriate assessment strategy which ensures academic integrity. During the pandemic, many universities have chosen for online proctoring. Although some earlier examples suggest that online proctoring may reduce cheating, the potential side-effects of proctoring are largely unknown. Objectives:…
Descriptors: Supervision, Computer Assisted Testing, Integrity, Cheating
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
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
Hill, Guzyal; Mason, Jon; Dunn, Alex – Research and Practice in Technology Enhanced Learning, 2021
Due to COVID-19, universities with limited expertise with the digital environment had to rapidly transition to online teaching and assessment. This transition did not create a new problem but has offered more opportunities for contract cheating and diversified the types of such services. While universities and lecturers were adjusting to the new…
Descriptors: Contracts, Outsourcing, Cheating, Computer Assisted Testing
E. A. J. Terblanche; Annelien Adriana van Rooyen; P. C. Enwereji – Discover Education, 2024
The COVID-19 pandemic accelerated the implementation of online assessments at an unprecedented pace. The pandemic required most higher education institutions worldwide to implement online assessments almost overnight. The study aimed to gain an understanding of auditing students' perceptions of online assessments and e-proctoring systems during…
Descriptors: Computer Assisted Testing, Supervision, Student Attitudes, Electronic Learning
Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics
Mutongoza, Bonginkosi Hardy; Olawale, Babawande Emmanuel – Perspectives in Education, 2022
With the operationalisation of lockdowns and restrictions on public gatherings, education systems across the entire globe were confronted with an urgent need to reconsider alternative forms of teaching, learning and assessment. Some institutions in developing countries were especially hard-hit by the shift owing to inadequacies in training and…
Descriptors: Integrity, Emergency Programs, Distance Education, Developing Nations
Hilliger, Isabel; Ruipérez-Valiente, José A.; Alexandron, Giora; Gaševic, Dragan – Journal of Computer Assisted Learning, 2022
Background: Online learning has grown significantly during the past two decades, and COVID-19 pandemic has expedited this process. However, previous research has shown how academic dishonesty is more prevalent under these modalities. Therefore, there is the challenge of performing trustworthy remote assessments, in order to obtain valid and…
Descriptors: Online Courses, Ethics, Student Evaluation, Evaluation Methods
Emery-Wetherell, Meaghan; Wang, Ruoyao – Assessment & Evaluation in Higher Education, 2023
Over four semesters of a large introductory statistics course the authors found students were engaging in contract cheating on Chegg.com during multiple choice examinations. In this paper we describe our methodology for identifying, addressing and eventually eliminating cheating. We successfully identified 23 out of 25 students using a combination…
Descriptors: Computer Assisted Testing, Multiple Choice Tests, Cheating, Identification
LaFlair, Geoffrey T.; Langenfeld, Thomas; Baig, Basim; Horie, André Kenji; Attali, Yigal; von Davier, Alina A. – Journal of Computer Assisted Learning, 2022
Background: Digital-first assessments leverage the affordances of technology in all elements of the assessment process--from design and development to score reporting and evaluation to create test taker-centric assessments. Objectives: The goal of this paper is to describe the engineering, machine learning, and psychometric processes and…
Descriptors: Computer Assisted Testing, Affordances, Scoring, Engineering
Hancock, Phil; Birt, Jac; De Lange, Paul; Fowler, Carolyn; Kavanagh, Marie; Mitrione, Lorena; Rankin, Michaela; Slaughter, Geoff; Williams, Andrew – Accounting Education, 2023
A key role of universities is the credentialing of student learning by awarding degrees and diplomas. This requires universities to have confidence in the integrity of their assessment processes and in turn, external stakeholders to have the same confidence. This study investigates the following research question: 'Has COVID-19 had an impact on…
Descriptors: Foreign Countries, Student Evaluation, Accounting, Business Administration Education