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Mostafa, Lamiaa – Journal of Education for Business, 2023
COVID-19 forced educational institutions to work digitally. Universities were not prepared for online assessment during the lockdown. Teachers faced many challenges when assessing students online; they were afraid that they produced inefficient or fake results. This study aims to understand the factors that affect the efficiency of e-assessment…
Descriptors: Computer Assisted Testing, Foreign Countries, Teacher Attitudes, COVID-19
Chan, Cecilia Ka Yuk – Assessment & Evaluation in Higher Education, 2023
With the advances of technologies, possessing digital and information literacy is crucial for the selection of candidates by employers in this digital AI era. For most students, receiving and outputting electronic text has become the norm, and thus examinations with writing components done by hand may not accurately reflect their abilities. It…
Descriptors: Test Format, Handwriting, Stakeholders, Feedback (Response)
Melchor Sánchez-Mendiola; Abigail P. Manzano-Patiño; Manuel García-Minjares; Enrique Buzo Casanova; Careli J. Herrera Penilla; Katyna Goytia-Rodríguez; Adrián Martínez-González – Educational Assessment, Evaluation and Accountability, 2023
COVID-19 has disrupted higher education globally, and there is scarce information about the "learning loss" in university students throughout this crisis. The goal of the study was to compare scores in a large-scale knowledge diagnostic exam applied to students admitted to the university, before and during the pandemic. Research design…
Descriptors: College Freshmen, Diagnostic Tests, Scores, Achievement Gains
Nazish Shahid – Interactive Learning Environments, 2023
The current investigation reflects on the insufficient performance of students in virtual exams in the era of transformation of the physical mode of education to digital one due to the passive adaptation to the technical drive of the virtual environment, the tenuous command of platform's technical language, especially in mathematics and physics…
Descriptors: Evaluation Methods, Computer Assisted Testing, Academic Achievement, Electronic Learning
Witmer, Sara E.; Bouck, Emily C. – Assessment for Effective Intervention, 2023
One perceived advantage of computer-based testing is that accessibility tools can be embedded within the testing format, allowing students with disabilities to use them when necessary to remove unique barriers within testing. However, an important assumption is that students activate and use the tools when needed. Initial data from large-scale…
Descriptors: Predictor Variables, Accessibility (for Disabled), Computer Assisted Testing, Access to Computers
Weiling Li; Aaron Butler; Catherine Oberle; Anabil Munshi; Amy J. Dray – Online Submission, 2023
Edmentum offers a personalized learning platform called Exact Path. This quasi-experimental study, designed to meet ESSA Tier 2 evidence and What Works Clearinghouse standards with reservations, aimed to assess the efficacy of Exact Path in a district from the Midwestern United States. The goal was to provide specific recommendations to educators…
Descriptors: Achievement Tests, Scores, Educational Technology, Reading Achievement
Miao Li; Yueming Xi; Esther Geva; Rong Yan; Wei Zhao – Reading and Writing: An Interdisciplinary Journal, 2025
It has been suggested that the reading acceleration program (RAP) (Breznitz et al. in Nature Communications 4: 1486, 2013), in which participants are forced to read at a rate faster than their normal reading fluency rate, improves reading fluency and comprehension in alphabetic languages. However, its effectiveness has never been examined in…
Descriptors: Foreign Countries, Grade 5, Reading Instruction, English (Second Language)
Duncan Culbreth; Rebekah Davis; Cigdem Meral; Florence Martin; Weichao Wang; Sejal Foxx – TechTrends: Linking Research and Practice to Improve Learning, 2025
Monitoring applications (MAs) use digital and online tools to collect and track data on student behavior, and they have become increasingly popular among schools. Empirical research on these complex surveillance platforms is scant, and little is known about the efficacy or impact that they have on students. This study used a multi-method…
Descriptors: High School Students, COVID-19, Pandemics, Progress Monitoring
Jairo A. Navarrete-Ulloa; David M. Gómez; Llery Ponce; Felipe Munoz-Rubke; Pablo R. Dartnell – Journal of Numerical Cognition, 2025
Improving early mathematical competence is a major priority worldwide; thus, assessing early math abilities is critical. Although various international standardized instruments serve this purpose, their usage in underdeveloped countries is prohibitive due to their resource-intensive requirements. In this report, we explore the development of the…
Descriptors: Mathematics Skills, Mathematics Instruction, Preschool Children, Preschool Education
Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests
Andrea Fernández-Sánchez; Juan José Lorenzo-Castiñeiras; Ana Sánchez-Bello – European Journal of Education, 2025
The advent of artificial intelligence (AI) technologies heralds a transformative era in education. This study investigates the integration of AI tools in developing educational assessment rubrics within the 'Curriculum Design Development and Evaluation' course at the University of A Coruña during the 2023-2024 academic year. Employing an…
Descriptors: Foreign Countries, Higher Education, Artificial Intelligence, Technology Integration
Shujun Liu; Azzeddine Boudouaia; Xinya Chen; Yan Li – Asia-Pacific Education Researcher, 2025
The application of Automated Writing Evaluation (AWE) has recently gained researchers' attention worldwide. However, the impact of AWE feedback on student writing, particularly in languages other than English, remains controversial. This study aimed to compare the impacts of Chinese AWE feedback and teacher feedback on Chinese writing revision,…
Descriptors: Foreign Countries, Middle School Students, Grade 7, Writing Evaluation
Hai Li; Wanli Xing; Chenglu Li; Wangda Zhu; Simon Woodhead – Journal of Learning Analytics, 2025
Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…
Descriptors: Mathematics Tests, Multiple Choice Tests, Computer Assisted Testing, Problem Solving
Haoxin Xu; Tianrun Deng; Xianlong Xu; Xiaoqing Gu; Lingyun Huang; Haoran Xie; Minhong Wang – Education and Information Technologies, 2025
In the 21st century, the urgent educational demand for cultivating complex skills in vocational training and learning is met with the effectiveness of the four-component instructional design model. Despite its success, research has identified a notable gap in the address of formative assessment, particularly within computer-supported frameworks.…
Descriptors: Models, Instructional Design, Computer Assisted Testing, Formative Evaluation
Hossein Kargar Behbahani; Sedigheh Karimpour – Education and Information Technologies, 2025
This study examined the effect of mobile-mediated dynamic assessment on reading comprehension and reading fluency skills of Iranian L2 learners. With 50 Iranian L2 learners, randomly assigned to the experimental and control groups, a pretest-posttest control group design was used. Whereas the control group received traditional instructor…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Reading Comprehension