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Elahe Asadpour; Hooshang Yazdani – Journal of Educators Online, 2025
The advent of online learning in contemporary educational landscapes has established online examinations as key evaluative instruments. Despite their growing use, there remains a lack of scholarly inquiry into online examinations, academic integrity, and preventative measures against dishonesty. This research aims to explore the perceptions of 153…
Descriptors: Cheating, Computer Assisted Testing, Majors (Students), Grade Point Average
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Andy Nguyen; Anh Thi Duong; Diep Thi Bich Nguyen; Van Thi Thanh Lai; Belle Dang – Information and Learning Sciences, 2025
Purpose: The rapid advancement and widespread adoption of generative artificial intelligence (GenAI) in education have significantly impacted learning, teaching and assessment practices. This development has raised critical questions about necessary changes to learning design and traditional assessment methods for a society where GenAI becomes…
Descriptors: Artificial Intelligence, Instructional Design, Public Policy, Educational Policy
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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
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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
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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
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Sango, Tatiana; Prince, Robert; Steyn, Sanet; Mudavanhu, Precious – Perspectives in Education, 2022
Owing to the COVID-19 pandemic, paper-based delivery of the National Benchmark Tests (NBTs) was not possible during the 2020 testing cycle. The NBTs, being a large-scale national assessment project, did not have alternative options, other than to offer the tests online. Moving these high-stakes tests online meant that certain considerations had to…
Descriptors: High Stakes Tests, Computer Assisted Testing, National Competency Tests, Benchmarking
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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
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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
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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
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Topuz, Arif Cem; Saka, Eda; Fatsa, Ömer Faruk; Kursun, Engin – Smart Learning Environments, 2022
The COVID-19 pandemic caused many educational institutions in the world to switch to the distance education process, and this process was called "Emergency Remote Teaching". This urgent transition process has caused many problems in educational environments. One of the problems is the subject of measurement and evaluation. Along with the…
Descriptors: COVID-19, Pandemics, Distance Education, Student Evaluation
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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
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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
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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
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Kohnke, Lucas; Moorhouse, Benjamin Luke – RELC Journal: A Journal of Language Teaching and Research, 2022
Technology is increasingly being used to foster engagement, enhance classroom dynamics, promote autonomy and improve the student learning experience in language learning environments. Many teachers have begun to employ digital apps and tools (e.g. Mentimeter and GoSoapBox) as a more interactive alternative to traditional activities. One product…
Descriptors: Gamification, Game Based Learning, Second Language Learning, Language Teachers
Julia Hujar – ProQuest LLC, 2022
Pressures associated with accountability testing have resulted in a narrowing of both the curriculum and pedagogy that does not meet the needs of high ability learners. This study proposed that either a different measurement (an above-level computer adaptive assessment) or a different model (Tobit model) should be used to more accurately…
Descriptors: Academic Ability, Individual Development, Multiple Regression Analysis, Accountability
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