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Jiban Khadka; Dirgha Raj Joshi; Krishna Prasad Adhikari; Bishnu Khanal – Journal of Educators Online, 2025
This study aims to explore the impact of the fairness of semester-end e-assessment in terms of policy provision, monitoring, and authenticity. The cross-sectional online survey design was employed among 346 students at Nepal Open University (NOU). The results were analyzed by using t-test, analysis of variance, and structural equation modeling.…
Descriptors: Foreign Countries, College Students, Open Universities, Computer Assisted Testing
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Hon Keung Yau; Choi Ho Man – Turkish Online Journal of Educational Technology - TOJET, 2025
This study explores Hong Kong higher education students' perceptions of E-assessment systems, focusing on factors shaping acceptance of E-examinations over traditional formats. Quantitative analysis of 107 respondents reveals significant positive correlations between diverse pre-exam guidance (e.g., tutorials) and key system features (e.g.,…
Descriptors: Foreign Countries, College Students, Student Attitudes, Computer Assisted Testing
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Mohamed Kara-Mohamed – Journal of Educational Technology Systems, 2025
(1) Context: The growing accessibility of Artificial Intelligence (AI) technology, such as ChatGPT, poses a challenge to the integrity of online assessments in higher education. As AI becomes more integrated into academic contexts, educators face the complex task of maintaining assessment standards particularly within modern Virtual Learning…
Descriptors: Artificial Intelligence, Virtual Classrooms, Computer Assisted Testing, Universities
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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
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Alireza Maleki – Journal of Academic Ethics, 2025
Although existing research has explored various aspects of online exam cheating, there is a scarcity of studies with in-depth qualitative phases focusing specifically on psychological reasons for online exam cheating in higher education context. Therefore, the aim of this mixed-methods research is to investigate the psychological reasons behind…
Descriptors: English (Second Language), Computer Assisted Testing, Cheating, College Students
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Yazid Meftah Ali Wahas; Akbar Joseph A. Syed – Education and Information Technologies, 2024
Technology has become a fundamental means to encourage reliable and more effective assessments. Rapid technological developments have led to the widespread use of digital platforms and devices in all aspects of life. Educational institutions worldwide had to take advantage of this technological leap during pandemics such as COVID-19, which changed…
Descriptors: Educational Technology, Technology Uses in Education, Computer Assisted Testing, Barriers
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Hoa Duong Quang; Hieu Ha Van; Khang Do Ba; Quy Nguyen Huu; Thang Phan Vo Minh; Loc Pham Quoc – Journal of Educators Online, 2025
During COVID-19 lockdowns, Vietnamese universities, like elsewhere, were compelled by social distancing rules to transition from on-site to online education, including examinations. However, many of these universities were not prepared for such sudden and drastic changes. This situation raises questions about if and how the students' cheating…
Descriptors: Foreign Countries, Computer Assisted Testing, Cheating, Student Behavior
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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
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Halem, Nicolette; Klaveren, Chris; Cornelisz, Ilja – Higher Education Quarterly, 2021
Virtual proctoring technology is credited with increasing the accessibility of exams by enabling students to participate in exams at any time and place. In this field experiment, students were randomly assigned to virtual proctoring or traditional on-campus examination to evaluate the effect, nature and timing of implementation barriers for online…
Descriptors: Foreign Countries, Supervision, Computer Assisted Testing, Barriers
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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
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Liandi van den Berg – International Journal for Educational Integrity, 2025
Due to the coronavirus disease 2019 (COVID-2019) and the sudden shift to online learning, higher education institutions adopted various approaches to reduce cheating in online assessments, mainly involving online live proctoring (OLP). The international assessment integrity regulation trend also applied to a university in South Africa, where…
Descriptors: Foreign Countries, College Faculty, College Students, Computer Assisted Testing
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Sundas Azeem; Muhammad Abbas – Education and Information Technologies, 2025
The study examined the association of big five personality traits (i.e., conscientiousness, openness to experience, and neuroticism) with use of Generative Artificial Intelligence (GenAI) among university students. It also examined the moderating role of perceived fairness in grading on the relationships of personality traits with GenAI usage.…
Descriptors: Personality Traits, Artificial Intelligence, Technology Uses in Education, Technology Integration
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Sofie van den Berg; Pantelis M. Papadopoulos – Innovations in Education and Teaching International, 2025
This qualitative study explores the levels of technology acceptance of students and teachers in higher education regarding the use of artificial intelligence (AI) in summative assessment. Twelve students and eight teachers of a university expressed their views on a series of hypothetical scenarios. Stimulated recall interviews, using hypothetical…
Descriptors: Summative Evaluation, Artificial Intelligence, Qualitative Research, Technology Uses in Education
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Pearson, Christopher; Penna, Nigel – Assessment & Evaluation in Higher Education, 2023
E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering…
Descriptors: Automation, Scoring, Engineering Education, Foreign Countries
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Eva Ulrychová; Renata Majovská; Petr Tesar – Journal on Efficiency and Responsibility in Education and Science, 2024
The article deals with the results of mathematics examinations at the University of Finance and Administration in Prague before, during, and immediately after the COVID-19 pandemic-related restrictions. The first objective is to evaluate whether the non-standard forms of testing (correspondence and online), used on an emergency basis during the…
Descriptors: Foreign Countries, COVID-19, Pandemics, Mathematics Tests
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