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Gordanier, John; Ozturk, Orgul; Zhan, Crystal – Education Finance and Policy, 2023
Computer-based testing (CBT) is becoming an increasingly popular format of assessment in educational settings. If students face a digital divide in terms of access to computers at school and at home, CBT may exacerbate measured student achievement gaps. In this paper, we use the rollout of CBT in South Carolina starting in 2015 to investigate its…
Descriptors: Computer Assisted Testing, Academic Achievement, Testing Programs, Program Implementation
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Tan, Qingrong; Cai, Yan; Luo, Fen; Tu, Dongbo – Journal of Educational and Behavioral Statistics, 2023
To improve the calibration accuracy and calibration efficiency of cognitive diagnostic computerized adaptive testing (CD-CAT) for new items and, ultimately, contribute to the widespread application of CD-CAT in practice, the current article proposed a Gini-based online calibration method that can simultaneously calibrate the Q-matrix and item…
Descriptors: Cognitive Tests, Computer Assisted Testing, Adaptive Testing, Accuracy
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Gribbins, Michele; Bonk, Curtis J. – British Journal of Educational Technology, 2023
As universities moved to remotely taught courses during the COVID-19 pandemic, the importance of maintaining academic integrity in online environments intensified. In response, this study explores instructors' perceptions about the role of online proctoring as a tool for their courses with the intent of enhancing the understanding of online…
Descriptors: Teacher Attitudes, Computer Assisted Testing, Supervision, Integrity
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Fink, Aron; Spoden, Christian; Frey, Andreas – Education and Information Technologies, 2023
The replacement of existing technology or the introduction of novel technology into the day-to-day routines of higher education institutions is not a trivial task. Currently, many higher education institutions are faced with the challenge of replacing existing procedures for administering written exams with e-exams. To guide this process, this…
Descriptors: College Faculty, Teacher Attitudes, Intention, Computer Assisted Testing
Jackson, Kayla – ProQuest LLC, 2023
Prior research highlights the benefits of multimode surveys and best practices for item-by-item (IBI) and matrix-type survey items. Some researchers have explored whether mode differences for online and paper surveys persist for these survey item types. However, no studies discuss measurement invariance when both item types and online modes are…
Descriptors: Test Items, Surveys, Error of Measurement, Item Response Theory
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Green, Theresa; Goodridge, Wade H.; Anderson, Jon; Davishahl, Eric; Kane, Daniel – International Education Studies, 2023
The purpose of this study was to examine any differences in test scores between three different online versions of the Mental Cutting Test (MCT). The MCT was developed to quantify a rotational and proportion construct of spatial ability and has been used extensively to assess spatial ability. This test was developed in 1938 as a paper-and-pencil…
Descriptors: Spatial Ability, Measures (Individuals), Computer Assisted Testing, Test Format
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Elka Johansson; Sutharson Kanapathippillai; Arifur Khan; Steven Dellaportas – Accounting Education, 2023
Research on formative assessment in accounting education examines the learning outcomes stemming from e-assessment or formative assessment within a stand-alone subject, but few studies examine the benefits and implications of continuous formative assessment or the perceptions of students who undertake formative assessment. The findings of…
Descriptors: Formative Evaluation, Accounting, Business Administration Education, Student Attitudes
Mark L. Davison; David J. Weiss; Joseph N. DeWeese; Ozge Ersan; Gina Biancarosa; Patrick C. Kennedy – Journal of Educational and Behavioral Statistics, 2023
A tree model for diagnostic educational testing is described along with Monte Carlo simulations designed to evaluate measurement accuracy based on the model. The model is implemented in an assessment of inferential reading comprehension, the Multiple-Choice Online Causal Comprehension Assessment (MOCCA), through a sequential, multidimensional,…
Descriptors: Cognitive Processes, Diagnostic Tests, Measurement, Accuracy
Amerson, Gladys G. – ProQuest LLC, 2023
The purpose of this quantitative study was to examine the relationship between the use of online proctoring software and technostress, age, and years' experience utilizing educational technology among nurse educators' using online proctoring software for the first time during the COVID-19 pandemic. A total of 131 surveys were returned via…
Descriptors: College Faculty, Nursing Education, Educational Technology, Stress Variables
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Reddy, Leelakrishna; Letswalo, Machaba Leanyatsa; Sefage, Amanda Percy; Kheswa, Bonginkosi Vincent; Balakrishna, Avula; Changundega, Jesman Moreblessing; Mvelase, Mashinga Johannes; Kheswa, Khayelihle Allen; Majola, Siyabonga Ntokozo Thandoluhle; Mathe, Themba; Seakamela, Teffo; Nemakhavhani, Thendo Emmanuel – Pedagogical Research, 2022
Integrity and quality of assessments on the online platform should be upheld to ensure that it supports student learning as well as the efficacy of teaching because in the end it measures the reputation of an institution. How institutions have traversed such domains remains a grey area. This paper provides anecdotal insights into how staff from a…
Descriptors: Computer Assisted Testing, Cheating, Foreign Countries, College Faculty
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Langenfeld, Thomas – Journal of Applied Testing Technology, 2022
The turn to online learning and training programs as a response to challenging times (i.e., the COVID-19 crisis) necessitated the need for internet-based testing solutions. Researchers generally have found that Unproctored Internet Testing (UIT) for high-stakes cognitive ability assessments results in higher scores than proctored assessments. Live…
Descriptors: Internet, Computer Assisted Testing, COVID-19, Pandemics
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Shin, Jinnie; Gierl, Mark J. – Journal of Applied Testing Technology, 2022
Automated Essay Scoring (AES) technologies provide innovative solutions to score the written essays with a much shorter time span and at a fraction of the current cost. Traditionally, AES emphasized the importance of capturing the "coherence" of writing because abundant evidence indicated the connection between coherence and the overall…
Descriptors: Computer Assisted Testing, Scoring, Essays, Automation
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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
Hacer Karamese – ProQuest LLC, 2022
Multistage adaptive testing (MST) has become popular in the testing industry because the research has shown that it combines the advantages of both linear tests and item-level computer adaptive testing (CAT). The previous research efforts primarily focused on MST design issues such as panel design, module length, test length, distribution of test…
Descriptors: Adaptive Testing, Scoring, Computer Assisted Testing, Design
Susan E. Ramlo – Sage Research Methods Cases, 2022
Q methodology (Q) offers a scientific way to study subjectivity, meaning people's viewpoints about a topic. The underlying assumption of Q is that when people share an experience, they do not necessarily form the same viewpoint about that experience. This is different from the use of Likert-scale surveys that report results using aggregate…
Descriptors: COVID-19, Pandemics, Higher Education, Q Methodology
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