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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
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
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
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
Almuhanna, Manal – Turkish Online Journal of Educational Technology - TOJET, 2023
The application of electronic assessments (e-assessment) has become inevitable with the expansion of distance education, and learners' perceptions should be considered when designers improve the system to meet their needs and facilitate their acceptance of the system. This mixed descriptive study investigated university students' perceptions about…
Descriptors: Evaluation Methods, Educational Improvement, College Students, Student Experience
Saputra, H.; Suhandi, A.; Setiawan, A.; Permanasari, A.; Firmansyah, J. – Physics Education, 2023
This study proposes an online practicum model supported by Wireless Sensor Network (WSN) to implement a physics practicum after the COVID-19 Pandemic. This system is guided by exploratory inquiry questions to help structure students' mindsets in answering investigative questions. Online practicum is also integrated with video conferencing, chat,…
Descriptors: Science Tests, Computer Assisted Testing, Physics, Practicums
Moreau, Julia; Pollock, Beth; Harrison, Allyson G. – Canadian Journal of School Psychology, 2023
Psychoeducational assessments provide clinicians with the foundation for diagnostic determinations and meaningful recommendations for youth with neurodevelopmental disorders. Due to the COVID-19 pandemic, the field shifted from seeing clients face-to-face (FTF) to conducting evaluations virtually via teleneuropsychology (TNP) in the client's own…
Descriptors: Neurodevelopmental Disorders, COVID-19, Pandemics, Telecommunications
Merhi, Mohammad I.; Meisami, Alex – Journal of Education for Business, 2023
This study is one of the first research attempts to examine students' satisfaction with web-based assessment platforms. Using the self-determination theory, the research model examines the intermediate role of autonomy and competency. We gathered our data from a survey of 324 business students at one of the Midwestern American institutions who…
Descriptors: Computer Assisted Testing, Student Satisfaction, Personal Autonomy, Competence