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What Works Clearinghouse Rating
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
Jiang, Zhuhan; Huang, Jiansheng – IEEE Transactions on Learning Technologies, 2022
Advanced digital technologies and social media have greatly improved both the learning experience and the assessment convenience, while inadvertently facilitated potential plagiarism and collaborative cheating at the same time. In this article, we will focus on the strategies and their technological implementations to run exams, or in-class tests…
Descriptors: Plagiarism, Educational Technology, Computer Assisted Testing, Cheating
Gagan Shergill – Communique, 2025
Although school psychologists often comment on examinee motivation in their reports, systematic evaluation of effort is not common practice. Empirical assessment of performance effort provides critical evidence for the validity of evaluations and will likely lead to more valid assessments, recommendations, and placements. This article focuses on…
Descriptors: Testing, Student Behavior, Student Motivation, Student Evaluation
Mara E. McFadden; Sara J. Finney – International Journal of Testing, 2025
Priming examinees with questions about intended effort prior to testing has been shown to significantly increase examinee expended effort via self-reported effort and response-time effort. However, this question-behavior effect seems to wear off later in a testing session. We examined whether administering a second "dose" of the…
Descriptors: Priming, Test Content, Student Behavior, Student Motivation
Katarina E. Schaefer; Sara J. Finney – Research & Practice in Assessment, 2025
Some college students may be disengaged when completing assessments for institutional accountability and improvement. If disengagement is not identified and the resulting data are removed, the validity of score interpretations suffers. Using data gathered from students who completed non-consequential assessments for institutional accountability,…
Descriptors: College Students, Student Evaluation, Accountability, Student Behavior
Aranka Bijl; Bernard P. Veldkamp; Saskia Wools; Sebastiaan de Klerk – Educational Technology Research and Development, 2024
The systematic literature review (1) investigates whether 'serious games' provide a viable solution to the limitations posed by traditional high-stakes performance assessments and (2) aims to synthesize game design principles for the game-based performance assessment of professional competencies. In total, 56 publications were included in the…
Descriptors: Educational Games, Student Evaluation, Evaluation Methods, High Stakes Tests
Stuart A. Miller; Sara J. Finney – Assessment Update, 2024
A simple act of motivation priming can significantly impact the validity of test results, which is crucial for institutional accountability. The progression of the studies discussed in this article illustrates a clear trajectory of building upon previous findings to refine and expand the understanding of motivation priming when gathering…
Descriptors: Student Behavior, Student Motivation, Intervention, Behavior Modification
Sara J. Finney; Stuart A. Miller; Kendall M. McGoey – Research & Practice in Assessment, 2025
Priming incoming and second-year college students with questions about effort prior to completing low-stakes assessments has increased test-taking effort. We extended this research by randomly assigning college seniors to one of three priming conditions prior to completing low-stakes assessments: answering three questions about intended effort…
Descriptors: Undergraduate Students, Priming, Testing, Student Evaluation
Eaton, Sarah Elaine; Turner, Kristal Louise – Online Submission, 2020
Purpose: The goal of this study was to understand the relationship between academic integrity and students' mental health during the COVID-19 crisis. Methods: We employed a rapid review method to identify relevant data sources using our university library search tool, which offers access to 1026 individual databases. We searched for sources…
Descriptors: COVID-19, Pandemics, Mental Health, College Students
Kailee Matthews; Lane Marquardt; Hannah Keene; Sally B. Shepley; Collin Shepley – Education and Treatment of Children, 2024
For students exhibiting challenging behaviors that are nondangerous to others and nondisruptive to classroom activities, such as daydreaming and doodling, educators are unlikely to refer these students for more individualized and resource-intensive behavioral support. As a step towards understanding how to address these students' motivational…
Descriptors: Elementary School Students, Resource Room Programs, Comparative Testing, Student Evaluation
Hossein Navidinia; Adrian Naznean; Maha Sourani; Nargess Hekmati – Asia-Pacific Education Researcher, 2024
Online teaching has gained more momentum since the outbreak of the COVID-19 pandemic. While this mode offers many benefits, one major concern is maintaining academic integrity, as online instruction can provide more opportunities for cheating. This study aimed to explore students' attitudes toward cheating in online assessments (OAs) and any…
Descriptors: Ethics, Cheating, Computer Assisted Testing, COVID-19
Mengzhou Li; Lei Luo; Sujoy Sikdar; Navid Ibtehaj Nizam; Shan Gao; Hongming Shan; Melanie Kruger; Uwe Kruger; Hisham Mohamed; Lirong Xia; Ge Wang – npj Science of Learning, 2021
Online education is important in the COVID-19 pandemic, but online exam at individual homes invites students to cheat in various ways, especially collusion. While physical proctoring is impossible during social distancing, online proctoring is costly, compromises privacy, and can lead to prevailing collusion. Here we develop an optimization-based…
Descriptors: Electronic Learning, COVID-19, Pandemics, Computer Assisted Testing
Vellanki, Surya Subrahmanyam; Mond, Saadat; Khan, Zahid Kamran – TESL-EJ, 2023
The hasty adoption of remote teaching (RT) by educational institutes in response to the COVID-19 pandemic has drastically impacted teaching, learning, and assessment. With most institutes unprepared for sudden lockdowns, and many educators lacking online teaching and assessment experience, old methods of assessment continued to be used, at least…
Descriptors: Computer Assisted Testing, Student Evaluation, English (Second Language), Language Teachers
Priya Harindranathan – ProQuest LLC, 2020
A major problem faced by instructors post-implementation of unsupervised online assessments is that they may lack real-time access to the students' actual learning behaviors. Limitations in student-feedback, limited know-how of accessing and analyzing log data, and large class sizes could restrict instructors' access to learners' behaviors. This…
Descriptors: Tests, Supervision, Student Evaluation, Computer Assisted Testing
Mire, Sarah S.; Keller-Margulis, Milena A.; Izuno-Garcia, Amy K.; Jellinek, Emily R.; Loría Garro, Elías S. – Psychology in the Schools, 2023
Students with autism may struggle to develop the academic skills necessary for success in school and beyond. Understanding and improving academic skills performance requires appropriate measurement approaches. One such option that has been minimally studied with students with autism is curriculum-based measurement (CBM). Coinciding with the need…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Feasibility Studies, Curriculum Based Assessment

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