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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
Ozge Ersan Cinar – ProQuest LLC, 2022
In educational tests, a group of questions related to a shared stimulus is called a testlet (e.g., a reading passage with multiple related questions). Use of testlets is very common in educational tests. Additionally, computerized adaptive testing (CAT) is a mode of testing where the test forms are created in real time tailoring to the test…
Descriptors: Test Items, Computer Assisted Testing, Adaptive Testing, Educational Testing
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Doewes, Afrizal; Kurdhi, Nughthoh Arfawi; Saxena, Akrati – International Educational Data Mining Society, 2023
Automated Essay Scoring (AES) tools aim to improve the efficiency and consistency of essay scoring by using machine learning algorithms. In the existing research work on this topic, most researchers agree that human-automated score agreement remains the benchmark for assessing the accuracy of machine-generated scores. To measure the performance of…
Descriptors: Essays, Writing Evaluation, Evaluators, Accuracy
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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
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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
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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
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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
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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
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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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