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Tobias Haug; Franz Holzknecht; Wolfgang Mann – Language Education & Assessment, 2024
This study investigated through an online survey how sign language practitioners changed their sign language assessment practices during the COVID-19 pandemic. The survey consisted of five sections and 29 questions overall. It was provided in written English and German as well as in International Sign and was administered online between October…
Descriptors: Sign Language, COVID-19, Pandemics, Evaluation
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
Arnold, Ivo J. M. – Journal of Economic Education, 2022
The author of this article uses two empirical approaches to compare online to face-to-face proctored assessment. Using data from a Dutch economics program, he shows that the relationship between grades and human capital variables remains highly significant for courses with online proctored examinations. Additionally, a search for suspicious grade…
Descriptors: Foreign Countries, Supervision, Evaluation, Synchronous Communication
Would You Bribe Your Lecturer? A Quasi-Experimental Study on Burnout and Bribery in Higher Education
Weißmüller, Kristina S.; De Waele, Lode – Research in Higher Education, 2022
Bribery is a complex and critical issue in higher education (HE), causing severe economic and societal harm. Traditionally, most scholarship on HE corruption has focused on institutional factors in developing countries and insights into the psychological and motivational factors that drive HE bribery on the micro-level mechanisms are virtually…
Descriptors: Higher Education, Ethics, College Students, Antisocial Behavior
Okada, Alexandra; Noguera, Ingrid; Alexieva, Lyubka; Rozeva, Anna; Kocdar, Serpil; Brouns, Francis; Ladonlahti, Tarja; Whitelock, Denise; Guerrero-Roldán, Ana-Elena – British Journal of Educational Technology, 2019
Checking the identity of students and authorship of their online submissions is a major concern in Higher Education due to the increasing amount of plagiarism and cheating using the Internet. The literature on the effects of e-authentication systems for teaching staff is very limited because it is a novel procedure for them. A considerable gap is…
Descriptors: Audits (Verification), Plagiarism, Cheating, Internet
Whitelock, Denise; Edwards, Chris; Okada, Alexandra – Journal of Learning for Development, 2020
The EU-funded TeSLA project -- Adaptive Trust-based e-Assessment System for Learning (http://tesla-project.eu) -- has developed a suite of instruments for e-Authentication. These include face recognition, voice recognition, keystroke dynamics, forensic analysis and plagiarism detection, which were designed for integration within a university's…
Descriptors: Computer Security, Electronic Learning, Student Attitudes, Teacher Attitudes
Bao, Yingying; Chen, Guanliang; Hauff, Claudia – International Educational Data Mining Society, 2017
Massive Open Online Courses (MOOCs) are a promising form of online education. However, the occurrence of academic dishonesty has been threatening MOOC certificates' effectiveness as a serious tool for recruiters and employers. Recently, a large-scale study on the log traces from more than one hundred MOOCs created by Harvard and MIT has identified…
Descriptors: Large Group Instruction, Online Courses, Cheating, Incidence
Tendeiro, Jorge N.; Meijer, Rob R. – Applied Psychological Measurement, 2012
This article extends the work by Armstrong and Shi on CUmulative SUM (CUSUM) person-fit methodology. The authors present new theoretical considerations concerning the use of CUSUM person-fit statistics based on likelihood ratios for the purpose of detecting cheating and random guessing by individual test takers. According to the Neyman-Pearson…
Descriptors: Cheating, Individual Testing, Adaptive Testing, Statistics
Ehren, Melanie C. M.; Swanborn, Machteld S. L. – School Effectiveness and School Improvement, 2012
School inspections are expected to have an impact on data use and improvement of schools. Schools are expected to generate data (e.g., self-evaluation reports and student achievement results) as part of the inspection process. This process, in turn, also generates data (e.g., inspection reports) for school improvement. The high-stakes context in…
Descriptors: Inspection, Accountability, Evaluation Utilization, Inferences

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