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Esteban Guevara Hidalgo – International Journal for Educational Integrity, 2025
The COVID-19 pandemic had a profound impact on education, forcing many teachers and students who were not used to online education to adapt to an unanticipated reality by improvising new teaching and learning methods. Within the realm of virtual education, the evaluation methods underwent a transformation, with some assessments shifting towards…
Descriptors: Foreign Countries, Higher Education, COVID-19, Pandemics
Dongkwang Shin; Suh Keong Kwon; Wonjun Izac Noh; Yohan Hwang – Journal of Computer Assisted Learning, 2025
Background: This study examines the evolution of English speaking proficiency test methods, which have traditionally relied on face-to-face interactions to assess communicative language competence. Recently, computer-based language tests have also been used on a larger scale, albeit with concerns about their impact on measurement. Objectives: This…
Descriptors: Computer Simulation, Technology Uses in Education, English (Second Language), Second Language Learning
Jude Edeigba; Solomon Opare; Fawzi Laswad – Accounting Education, 2025
Given the debate in tertiary institutions on the use of technology for assessments due to the coronavirus (COVID-19) pandemic, we compare the performance of accounting students in proctored paper-based and online exams. We examine exam scores across different demographic variables to provide early insights into the impact of these demographics on…
Descriptors: Accounting, Business Education, Academic Achievement, Computer Assisted Testing
Elize du Plessis; Rebecca Y. Bayeck – Journal of Teaching and Learning, 2025
Even while Artificial Intelligence (AI) has long been a part of our lives, it has recently received more attention thanks to the introduction of ChatGPT, a Chat Generative Pre-Trained Transformer, since its launch in November 2022. The focus of this study is to investigate the potential of ChatGPT to assess student-teacher learning, which looks at…
Descriptors: Foreign Countries, Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing
Eva Svärdemo Åberg; Eva Edman Stålbrandt; Anna Wiik – Designs for Learning, 2025
This study explores how digital assessment designs in higher education influence students' ability to demonstrate their knowledge and realize their agency, which is a significant gap in the research literature. The increasing integration of digital tools, as well as heightened concerns about academic integrity, have led to a shift towards more…
Descriptors: Higher Education, Computer Assisted Testing, Design, Student Evaluation
Christopher D. Wilson; Kevin C. Haudek; Jonathan F. Osborne; Zoë E. Buck Bracey; Tina Cheuk; Brian M. Donovan; Molly A. M. Stuhlsatz; Marisol M. Santiago; Xiaoming Zhai – Journal of Research in Science Teaching, 2024
Argumentation is fundamental to science education, both as a prominent feature of scientific reasoning and as an effective mode of learning--a perspective reflected in contemporary frameworks and standards. The successful implementation of argumentation in school science, however, requires a paradigm shift in science assessment from the…
Descriptors: Middle School Students, Competence, Science Process Skills, Persuasive Discourse
Mi-Hyun Bang; Young-Min Lee – Education and Information Technologies, 2024
The Human Resources Development Service of Korea developed a digital exam for five representative engineering categories and conducted a pilot study comparing the findings with the paper-and-pencil exam results from the last three years. This study aimed to compare the test efficiency between digital and paper-and-pencil examinations. A digital…
Descriptors: Engineering Education, Computer Assisted Testing, Foreign Countries, Human Resources
Nanak Hikmatullah; Torrey Trust – Distance Learning, 2024
This article describes the development and impact of a faculty development program on improving the readiness of Indonesian educators to teach online. While online learning is seen as a potential solution to increasing access to higher education in Indonesia, most higher education faculty in Indonesia lack the necessary skills to teach online…
Descriptors: Web Based Instruction, Faculty Development, Communities of Practice, Humanization
Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Kangkang Li; Qian Yang; Xianmin Yang – IEEE Transactions on Learning Technologies, 2024
The student-generated question (SGQ) strategy is an effective instructional strategy for developing students' higher order cognitive and critical thinking. However, assessing the quality of SGQs is time consuming and domain experts intensive. Previous automatic evaluation work focused on surface-level features of questions. To overcome this…
Descriptors: Computer Simulation, Artificial Intelligence, Computer Assisted Testing, Automation
Barnali Mazumdar; Nora De la Mora; Teresa Roberts; Alexander Swiderski; Maria Kapantzoglou; Gerasimos Fergadiotis – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Anomia, or word-finding difficulty, is a prevalent and persistent feature of aphasia, a neurogenic language disorder affecting millions of people in the United States. Anomia assessments are essential for measuring performance and monitoring outcomes in clinical settings. This study aims to evaluate the reliability of response time (RT)…
Descriptors: Pictorial Stimuli, Naming, Aphasia, Reaction Time
Stefan Ninkovic; Stanislava Olic Ninkovic; Tihomir Lazarevic; Jasna Adamov – Educational Studies, 2024
The COVID-19 pandemic has led to the temporary closure of schools around the world. Due to the sudden and complete transition to online instruction, teachers were faced with various challenges. The assessment of student performance is one of the integrative segments of remote teaching. Therefore, the aim of this study was to examine the…
Descriptors: Foreign Countries, Teacher Attitudes, Electronic Learning, Computer Assisted Testing
María-del-Mar Romero-Alemán – Anatomical Sciences Education, 2024
The present retrospective, descriptive, and quasi-experimental study aimed to explore students' perceptions of traditional teaching combined with gamified and nongamified e-tests for postlecture reinforcement. Midterm knowledge retention and academic performance were also analyzed. The study was conducted from February 2021 to May 2022, involving…
Descriptors: Gamification, Tests, Computer Assisted Testing, Biology
Yu Wang – ProQuest LLC, 2024
The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…
Descriptors: Multiple Choice Tests, Cognitive Tests, Cognitive Measurement, Educational Diagnosis
Yang Jiang; Mo Zhang; Jiangang Hao; Paul Deane; Chen Li – Journal of Educational Measurement, 2024
The emergence of sophisticated AI tools such as ChatGPT, coupled with the transition to remote delivery of educational assessments in the COVID-19 era, has led to increasing concerns about academic integrity and test security. Using AI tools, test takers can produce high-quality texts effortlessly and use them to game assessments. It is thus…
Descriptors: Integrity, Artificial Intelligence, Technology Uses in Education, Ethics

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