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Showing 1 to 15 of 92 results Save | Export
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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
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Hwanggyu Lim; Kyung T. Han – Educational Measurement: Issues and Practice, 2024
Computerized adaptive testing (CAT) has gained deserved popularity in the administration of educational and professional assessments, but continues to face test security challenges. To ensure sustained quality assurance and testing integrity, it is imperative to establish and maintain multiple stable item pools that are consistent in terms of…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Items, Item Banks
ETS Research Institute, 2024
ETS experts are exploring and defining the standards for responsible AI use in assessments. A comprehensive framework and principles will be unveiled in the coming months. In the meantime, this document outlines the critical areas these standards will encompass, including the principles of: (1) Fairness and bias mitigation; (2) Privacy and…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Educational Testing, Ethics
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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
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Elkhatat, Ahmed M. – International Journal for Educational Integrity, 2022
Examinations form part of the assessment processes that constitute the basis for benchmarking individual educational progress, and must consequently fulfill credibility, reliability, and transparency standards in order to promote learning outcomes and ensure academic integrity. A randomly selected question examination (RSQE) is considered to be an…
Descriptors: Integrity, Monte Carlo Methods, Credibility, Reliability
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Zinovy Radovilsky; Vishwanath Hegde – Curriculum and Teaching, 2023
The issues of academic integrity across online and in-person assessments were addressed by analyzing student total, conceptual, and numerical performance scores in the three modes of assessment: (1) In-person assessment with proctoring; (2) Online unproctored assessment; and (3) Respondus assessment online with proctoring. It was identified that…
Descriptors: Academic Achievement, Educational Technology, Computer Assisted Testing, Evaluation
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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
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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)
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Denizer Yildirim; Hale Ilgaz; Alper Bayazit; Gökhan Akçapinar – International Review of Research in Open and Distributed Learning, 2023
One of the biggest challenges for online learning is upholding academic integrity in online assessments. In particular, institutions and faculties attach importance to exam security and academic dishonesty in the online learning process. The aim of this study was to compare the test-taking behaviors and academic achievements of students in…
Descriptors: Student Behavior, Supervision, Electronic Learning, Academic Achievement
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Novick, Peter A.; Lee, Jacqueline; Wei, Sujun; Mundorff, Emily C.; Santangelo, Jessica R.; Sonbuchner, Timothy M. – Journal of Microbiology & Biology Education, 2022
The article documents students' experiences with the shift online at the onset of the COVID-19 pandemic and provides informed recommendations to STEM instructors regarding academic integrity and student stress. Over 500 students were surveyed on these topics, including an open-ended question. Students experienced more stress and perceived a…
Descriptors: Online Courses, COVID-19, Pandemics, STEM Education
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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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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
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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)
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Mncedisi Christian Maphalala; Ntombikayise Nkosi – Open Praxis, 2025
This conceptual study explores and proposes strategies for enhancing security and academic integrity within the Open and Distance e-learning (ODeL) context, adhering to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols. As higher education continues to evolve, the reliance on online assessments has become more…
Descriptors: Literature Reviews, Meta Analysis, Supervision, Computer Assisted Testing
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