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Themistocleous, Charalambos; Neophytou, Kyriaki; Rapp, Brenda; Tsapkini, Kyrana – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The evaluation of spelling performance in aphasia reveals deficits in written language and can facilitate the design of targeted writing treatments. Nevertheless, manual scoring of spelling performance is time-consuming, laborious, and error prone. We propose a novel method based on the use of distance metrics to automatically score…
Descriptors: Computer Assisted Testing, Scoring, Spelling, Scores
Falcão, Filipe; Costa, Patrício; Pêgo, José M. – Advances in Health Sciences Education, 2022
Background: Current demand for multiple-choice questions (MCQs) in medical assessment is greater than the supply. Consequently, an urgency for new item development methods arises. Automatic Item Generation (AIG) promises to overcome this burden, generating calibrated items based on the work of computer algorithms. Despite the promising scenario,…
Descriptors: Multiple Choice Tests, Computer Assisted Testing, Test Items, Medical Education
Wood, Eileen; Klausz, Noah; MacNeil, Stephen – Innovative Higher Education, 2022
Learning gains associated with multiple-choice testing formats that provide immediate feedback (e.g., IFAT®) are often greater than those for typical single-choice delayed feedback formats (e.g. Scantron®). Immediate feedback formats also typically permit part marks unlike delayed feedback formats. The present study contrasted IFAT® with a new…
Descriptors: Academic Achievement, Computer Assisted Testing, Feedback (Response), Organic Chemistry
Wilson, Alexander C.; Bishop, Dorothy V. M. – Journal of Child Language, 2022
It remains unclear whether pragmatic language skills and core language skills (grammar and vocabulary) are distinct language domains. The present work aimed to tease apart these domains using a novel online assessment battery administered to almost 400 children aged 7 to 13 years. Confirmatory factor analysis indicated that pragmatic and core…
Descriptors: Pragmatics, Computer Assisted Testing, Factor Analysis, Grammar
Pan, Qianqian; Reichert, Frank; de la Torre, Jimmy; Law, Nancy – Educational Measurement: Issues and Practice, 2022
Hong Kong was one of the first places hit with the COVID-19 outbreak in January 2020 and has since responded with several periods of full or partial school suspension, during which teaching and learning often occurred remotely using digital means. During this time, collecting research data and testing students have become more difficult than…
Descriptors: Technological Literacy, Student Evaluation, COVID-19, Pandemics
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
Lee, Kyungmee; Fanguy, Mik – British Journal of Educational Technology, 2022
During the coronavirus disease-2019 (COVID-19) pandemic, many universities have adopted online exam proctoring technologies to monitor and control an increasing number of student cheating incidents. Although it looks like a natural and effective solution for a fair assessment of student online learning performance, the authors argue that…
Descriptors: Computer Assisted Testing, Supervision, Educational Innovation, Educational Change
Okocha, Foluke – International Journal of Web-Based Learning and Teaching Technologies, 2022
Computer Based Testing has become a prominent method in student assessment in Nigeria and student perception on this testing technique is paramount. This study examined the perception of undergraduate students towards computer based testing by comparing several modules studied by Undergraduate students in Nigeria which constitutes a major gap in…
Descriptors: Student Attitudes, Computer Assisted Testing, Foreign Countries, Undergraduate Students
Abood, Harith; Abu Maizer, Maha – International Journal of Technology in Education, 2022
This is a descriptive study to investigate one of the most critical issues faced by teachers in evaluating their students' performance at the university level during COVID-19. It aimed to specify the exams' problems faced by the Jordanian universities' teaching staff members, and the strategies they used to face cheating by their students in…
Descriptors: Cheating, Methods, Computer Assisted Testing, Electronic Learning
VanDerHeyden, Amanda M.; Codding, Robin; Solomon, Benjamin G. – Remedial and Special Education, 2023
Computer-based curriculum-based measurement (CBM) is a relatively common practice, but surprisingly few studies have examined the reliability of computer-based CBM. This study sought to examine the reliability of CBM administered via paper/pencil versus the computer. Twenty-one of 25 students in two third-grade classes (N = 21) participated in two…
Descriptors: Curriculum Based Assessment, Computer Assisted Testing, Test Format, Grade 3
Schneider, Johannes; Richner, Robin; Riser, Micha – International Journal of Artificial Intelligence in Education, 2023
Autograding short textual answers has become much more feasible due to the rise of NLP and the increased availability of question-answer pairs brought about by a shift to online education. Autograding performance is still inferior to human grading. The statistical and black-box nature of state-of-the-art machine learning models makes them…
Descriptors: Grading, Natural Language Processing, Computer Assisted Testing, Ethics
Vorvilas, George; Liapis, Alexandros; Korovesis, Alkis; Angelopoulou, Dimitra; Karousos, Nikos; Efstathopoulos, Efstathios P. – Turkish Online Journal of Distance Education, 2023
The COVID-19 pandemic forced Higher Education Institutes (HEIs) to adopt alternative approaches to the delivery of their learning activities, including examinations. Many HEIs choose Remote Electronic Examinations (REEs) as a one-way solution due to physical presence restriction measures imposed by governments around the world. The present study…
Descriptors: Distance Education, Higher Education, Computer Assisted Testing, College Students
Burr, Justin Vernon – HAPS Educator, 2023
During the COVID-19 pandemic, academic institutions were forced to pivot toward online education. With the switch to online learning, e-proctoring became a popular choice to continue proctored exam assessments. Many concerns arose from this technology, including privacy, psychological, and performance concerns. With the resumption of in-person…
Descriptors: Health Sciences, College Students, Student Attitudes, Supervision
Luele, Solomon Admasu; Taye, Markos Tezera; Moges, Birara Asnakew – Cogent Education, 2023
Online teaching and learning focus on the dissemination of knowledge and information to students who reside in different geographical locations. After the COVID-19 pandemic, online teaching and learning became a popular strategy in all higher learning institutions around the world to continue the interrupted teaching and learning process while…
Descriptors: Foreign Countries, Online Courses, COVID-19, Pandemics
Kreitchmann, Rodrigo S.; Sorrel, Miguel A.; Abad, Francisco J. – Educational and Psychological Measurement, 2023
Multidimensional forced-choice (FC) questionnaires have been consistently found to reduce the effects of socially desirable responding and faking in noncognitive assessments. Although FC has been considered problematic for providing ipsative scores under the classical test theory, item response theory (IRT) models enable the estimation of…
Descriptors: Measurement Techniques, Questionnaires, Social Desirability, Adaptive Testing

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