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Showing 1 to 15 of 18 results Save | Export
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Maite Alguacil; Noemí Herranz-Zarzoso; José C. Pernías; Gerardo Sabater-Grande – Journal of Computing in Higher Education, 2024
Cheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test.…
Descriptors: Cheating, Computer Assisted Testing, Randomized Controlled Trials, Supervision
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Dilky Felsinger; Thilina Halloluwa; Ishani Fonseka – Education and Information Technologies, 2024
Academic misconduct is a growing problem in online education. While there are ways to curb academic misconduct in online exams, utilization of technology to proctor online exams in a simple manner in limited-resource settings remain unclear. This study set out to identify a reliable technique for utilizing webcam footage to identify instances of…
Descriptors: Video Technology, Computer Assisted Testing, Supervision, Depleted Resources
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Hany Zayed – Learning, Media and Technology, 2024
This article examines academic cheating in Egyptian secondary education at a time of assessment fetishization, educational digitalization and pandemic exceptionalism. It shows how, while promising a tighter grip on assessment, digital technologies afforded a new modality of cheating with a scale and speed unprecedented in Egyptian educational…
Descriptors: Cheating, Secondary Education, Foreign Countries, Technology
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Phillip Dawson; Kelli Nicola-Richmond; Helen Partridge – Assessment & Evaluation in Higher Education, 2024
Educators set restrictions in examinations to enable them to assess learning outcomes under particular conditions. The open book versus closed book binary is an example of the sorts of restrictions examiners have traditionally set. In the late 2000s this was expanded to a trinary to include open web examinations. However, the current technology…
Descriptors: Electronic Learning, Computer Assisted Testing, Supervision, Cheating
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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
Chen, Dandan – Online Submission, 2023
Technology-driven shifts have created opportunities to improve efficiency and quality of assessments. Meanwhile, they may have exacerbated underlying socioeconomic issues in relation to educational equity. The increased implementation of technology-based assessments during the COVID-19 pandemic compounds the concern about the digital divide, as…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Alternative Assessment, Test Format
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Nayab Iqbal; Kaukab Abid Azhar – Turkish Online Journal of Distance Education, 2024
This research study focuses on the growing concern of academic misconduct in distance education courses. A quasi-experimental study was conducted to measure the impact of introducing webcam recording software as an online supervision tool for high-stakes exams in two separate online courses (Management and Accounting). Results revealed that…
Descriptors: Cheating, Distance Education, Courses, Video Technology
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Clisby, Nathan; Edwards, Antony – International Journal of Mathematical Education in Science and Technology, 2022
In this classroom note, we outline a system of assessment used by the authors since 2020 to deliver individualized summative assessments to students from first- and second-year mathematics courses. Our system comprises three modular components allowing a mix-and-match of different technological approaches and mathematical question types. First is…
Descriptors: Student Evaluation, Summative Evaluation, College Students, College Mathematics
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Alexander Stanoyevitch – Discover Education, 2024
Online education, while not a new phenomenon, underwent a monumental shift during the COVID-19 pandemic, pushing educators and students alike into the uncharted waters of full-time digital learning. With this shift came renewed concerns about the integrity of online assessments. Amidst a landscape rapidly being reshaped by online exam/homework…
Descriptors: Computer Assisted Testing, Student Evaluation, Artificial Intelligence, Electronic Learning
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Archer, Elizabeth – Perspectives in Education, 2023
The COVID-19 pandemic has led to rapid change, unprecedented in higher education. One such change has been the almost complete shift to online assessment. The simultaneous employment of online assessment and proctoring has not enjoyed the rigorous academic debate and research traditionally associated with such shifts in academia. This engagement…
Descriptors: Computer Assisted Testing, Supervision, Technology Uses in Education, Social Justice
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Nejdet Karadag – Journal of Educational Technology and Online Learning, 2023
The purpose of this study is to examine the impact of artificial intelligence (AI) on online assessment in the context of opportunities and threats based on the literature. To this end, 19 articles related to the AI tool ChatGPT and online assessment were analysed through rapid literature review. In the content analysis, the themes of "AI's…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Natural Language Processing, Grading
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Khan, Zeenath Reza; Sivasubramaniam, Shivadas; Anand, Pranit; Hysaj, Ajrina – International Journal for Educational Integrity, 2021
COVID-19 pandemic had an impact on many day-to-day activities but one of the biggest collateral impacts was felt by the education sector. The nature and the complexity of higher education is such that no matter how prepared we are as faculty, how planned our teaching and assessments, faculty are all too aware of the adjustments that have to be…
Descriptors: Electronic Learning, Web Based Instruction, Computer Assisted Testing, Integrity
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Kilinc, Hakan; Okur, Muhammet Recep; Usta, Ilker – International Journal of Assessment Tools in Education, 2021
Within the scope of this study, it was aimed to determine the factors that should be considered regarding the usability and security of online test applications used as an assessment and evaluation tool during the COVID-19 pandemic. In this context, the case study method was used to obtain the opinions of field experts. Furthermore, in this study,…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Evaluation Methods
Josh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
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Stadler, Matthias; Kolb, Nicola; Sailer, Michael – Distance Education, 2021
To slow the spread of COVID-19, many universities have had to move to online teaching, which entails changing exams from in-person to online. Online exams can facilitate cheating when there is no direct proctoring. To provide some form of control in unproctored exams, Cluskey et al. (2011) suggested having substantial time pressure; yet there are…
Descriptors: COVID-19, Pandemics, School Closing, Online Courses
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