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Alireza Maleki; Sedigheh Karimpour – Journal of Academic Ethics, 2026
The shift to online platforms has heightened concerns about academic misconduct, particularly contract cheating, where students outsource work to third parties. While research has examined perceptions of this issue, less attention has been given to concrete teacher-led strategies, especially within English as a Foreign Language (EFL) contexts.…
Descriptors: Language Teachers, Cheating, Computer Assisted Testing, English (Second Language)
Andrea E. Green – ProQuest LLC, 2024
No solution can ultimately eliminate cheating in online courses. However, universities reserve funding for authentication systems to minimize the threat of cheating in online courses. Most higher education institutions use a combination of authentication methods to secure systems against impersonation attacks during online examinations.…
Descriptors: College Students, Cheating, Online Courses, Intervention
Philip M. Newton; Keioni Essex – Journal of Academic Ethics, 2024
Academic misconduct is a threat to the validity and reliability of online examinations, and media reports suggest that misconduct spiked dramatically in higher education during the emergency shift to online exams caused by the COVID-19 pandemic. This study reviewed survey research to determine how common it is for university students to admit…
Descriptors: Cheating, Tests, Electronic Learning, COVID-19
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
Green, Theresa; Goodridge, Wade H.; Anderson, Jon; Davishahl, Eric; Kane, Daniel – International Education Studies, 2023
The purpose of this study was to examine any differences in test scores between three different online versions of the Mental Cutting Test (MCT). The MCT was developed to quantify a rotational and proportion construct of spatial ability and has been used extensively to assess spatial ability. This test was developed in 1938 as a paper-and-pencil…
Descriptors: Spatial Ability, Measures (Individuals), Computer Assisted Testing, Test Format
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
Gulnur Tyulepberdinova; Madina Mansurova; Talshyn Sarsembayeva; Sulu Issabayeva; Darazha Issabayeva – Journal of Computer Assisted Learning, 2024
Background: This study aims to assess how well several machine learning (ML) algorithms predict the physical, social, and mental health condition of university students. Objectives: The physical health measurements used in the study include BMI (Body Mass Index), %BF (percentage of Body Fat), BSC (Blood Serum Cholesterol), SBP (Systolic Blood…
Descriptors: Artificial Intelligence, Algorithms, Predictor Variables, Physical Health
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
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
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
Tahereh Firoozi; Hamid Mohammadi; Mark J. Gierl – Journal of Educational Measurement, 2025
The purpose of this study is to describe and evaluate a multilingual automated essay scoring (AES) system for grading essays in three languages. Two different sentence embedding models were evaluated within the AES system, multilingual BERT (mBERT) and language-agnostic BERT sentence embedding (LaBSE). German, Italian, and Czech essays were…
Descriptors: College Students, Slavic Languages, German, Italian
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
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
Cheng, Chao-Yang; Chen, Jim-Ming; Chen, Sherry Y. – Interactive Learning Environments, 2023
Online tests offer many advantages but they still belong to assessment, which may make learners have anxiety. Thus, students may experience certain emotion. Academic emotion is a branch of emotion and has great effects on student learning. Such effects can be associated with individual differences, especially prior knowledge. To this end, this…
Descriptors: College Students, Prior Learning, Academic Achievement, Emotional Response
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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