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Ebru Balta; Arzu Uçar – International Journal of Assessment Tools in Education, 2025
Unproctored Computerized Adaptive Testing (CAT) is gaining traction due to its convenience, flexibility, and scalability, particularly in high-stakes assessments. However, the lack of proctor can give rise to aberrant testing behavior. These behaviors can impair the validity of test scores. This paper explores the use of a verification test to…
Descriptors: Adaptive Testing, Computer Assisted Testing, Paper and Pencil Tests, Test Validity
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
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
Wise, Steven L. – Education Inquiry, 2019
A decision of whether to move from paper-and-pencil to computer-based tests is based largely on a careful weighing of the potential benefits of a change against its costs, disadvantages, and challenges. This paper briefly discusses the trade-offs involved in making such a transition, and then focuses on a relatively unexplored benefit of…
Descriptors: Computer Assisted Testing, Cheating, Test Wiseness, Scores
Sinharay, Sandip; Johnson, Matthew S. – Grantee Submission, 2019
According to Wollack and Schoenig (2018), score differencing is one of six types of statistical methods used to detect test fraud. In this paper, we suggested the use of Bayes factors (e.g., Kass & Raftery, 1995) for score differencing. A simulation study shows that the suggested approach performs slightly better than an existing frequentist…
Descriptors: Cheating, Deception, Statistical Analysis, Bayesian Statistics
Pleasants, Jacob; Pleasants, John M.; Pleasants, Barbara P. – Online Learning, 2022
As online courses become increasingly common at the college level, an ongoing concern is how to ensure academic integrity in the online environment. One area that has received particular attention is that of preventing cheating during unproctored online exams. In this study, we examine students' behavior during unproctored exams taken in an online…
Descriptors: Online Courses, Cheating, Computer Assisted Testing, Student Behavior
Wagner, Elvis – Language Assessment Quarterly, 2020
The Duolingo English Test (DET) is a computer adaptive test of English proficiency that is increasingly used for English-medium university admissions purposes. During the COVID-19 pandemic of 2020, test centers were shut down in many countries, and major tests including the TOEFL iBT and IELTS could not be administered. The DET is an "at…
Descriptors: Language Tests, Computer Software, Computer Assisted Testing, Second Language Learning
Gorney, Kylie; Wollack, James A. – Practical Assessment, Research & Evaluation, 2022
Unlike the traditional multiple-choice (MC) format, the discrete-option multiple-choice (DOMC) format does not necessarily reveal all answer options to an examinee. The purpose of this study was to determine whether the reduced exposure of item content affects test security. We conducted an experiment in which participants were allowed to view…
Descriptors: Test Items, Test Format, Multiple Choice Tests, Item Analysis
GED Testing Service, 2018
The manual is presented in the form of a policy grid. The grid includes a consolidated list of General Educational Development (GED) Testing Service policies regarding the GED® test and overall GED® program. The grid combines all of the policies into one unified table and supersedes any prior policy manual.
Descriptors: High School Equivalency Programs, Equivalency Tests, Testing Programs, Educational Policy
Lavy, Victor – National Bureau of Economic Research, 2023
School authorities, universities, and employers often schedule multiple tests on the same day or week, causing overlapping exam preparation and a dense testing schedule. This multitask learning can be intense, under pressure, and challenge the student's mental and physical perseverance. As a result, it can compromise performance relative to a more…
Descriptors: Outcomes of Education, Testing, Test Preparation, Time Management
Alessio, Helaine M.; Malay, Nancy; Maurer, Karsten; Bailer, A. John; Rubin, Beth – International Review of Research in Open and Distributed Learning, 2018
Traditional and online university courses share expectations for quality content and rigor. Student and faculty concerns about compromised academic integrity and actual instances of academic dishonesty in assessments, especially with online testing, are increasingly troublesome. Recent research suggests that in the absence of proctoring, the time…
Descriptors: Supervision, Majors (Students), Computer Assisted Testing, Scores
Edwards, Alexander Kyei – Education Quarterly Reviews, 2019
This was a causal comparative study to investigate the causality of 'ex post-facto' variables: moral reasoning (MR) and cheating behaviour (CB) and their associational effect on the authenticity of examination results among Senior High School (SHS) students (N=2,520). Two different data sets were derived from (i) a survey questionnaire with one MR…
Descriptors: Cheating, Moral Issues, Integrity, Credibility
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
Partnership for Assessment of Readiness for College and Careers, 2019
The Partnership for Assessment of Readiness for College and Careers (PARCC) is a state-led consortium designed to create next-generation assessments that, compared to traditional K-12 assessments, more accurately measure student progress toward college and career readiness. The PARCC assessments are aligned to the Common Core State Standards…
Descriptors: College Readiness, Career Readiness, Common Core State Standards, Language Arts
Santos, Michael R.; Richman, Vincent; Jiang, Jinglin – Journal of Instructional Pedagogies, 2019
Online teaching is growing in popularity. This paper presents a case study for an online business course investigating student exam scores obtained from non-randomized and randomized exams. We find that the non-randomized exam scores of the students are suspicious because there are statistically significant disparities from the randomized exam…
Descriptors: Online Courses, Teaching Methods, Scores, Case Studies

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