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Lynne N. Kennette; Dawn McGuckin – Teaching & Learning Inquiry, 2025
Multiple choice tests are unlikely to disappear from formal education, partly due to the ease of large-scale administration and grading and their similarity to licensing exams in various fields (e.g., nursing). Despite post-secondary instructors' best intentions in giving students adequate time to complete multiple choice assessments, it can be…
Descriptors: Foreign Countries, Two Year College Students, Multiple Choice Tests, Computer Assisted Testing
Xin Wei – Grantee Submission, 2025
This study investigates the time-use patterns of students with learning disabilities during digital mathematics assessments and explores the role of extended time accommodations (ETA) in shaping these patterns. Using latent profile analysis, four distinct time-use profiles were identified separately for students with and without ETA. "Initial…
Descriptors: Computer Assisted Testing, Mathematics Tests, Students with Disabilities, Testing Accommodations
Nathaniel Owen; Ananda Senel – Review of Education, 2025
Transparency in high-stakes English language assessment has become crucial for ensuring fairness and maintaining assessment validity in language testing. However, our understanding of how transparency is conceptualised and implemented remains fragmented, particularly in relation to stakeholder experiences and technological innovations. This study…
Descriptors: Accountability, High Stakes Tests, Language Tests, Computer Assisted Testing
Choo, Chee-Yan; Rahim, Aisyah Saad Abdul – Asian Journal of University Education, 2021
The COVID-19 Movement Control Order imposed by the government converted the delivery of lessons to online learning in the education sector. Pharmaceutical chemistry is a core subject for pharmacy students and first-year students were taught the elucidation of the absolute configuration of active pharmaceutical ingredients (API). The objective of…
Descriptors: Foreign Countries, Pharmaceutical Education, Medical Students, Student Attitudes
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
Sukanya Intarapak; Porntip Rojsiraphisal; Thidaporn Supapakorn – International Society for Technology, Education, and Science, 2024
The COVID-19 pandemic situation spreading around the world had brought dynamic changes in every field of life since 2019, especially in the learning processes. The processes of learning were done by using online platform. In a sudden shift in the learning processes, students were forced to adapt. Consequently, the processes of online learning…
Descriptors: Stress Variables, Online Courses, COVID-19, Pandemics
Marli Crabtree; Kenneth L. Thompson; Ellen M. Robertson – HAPS Educator, 2024
Research has suggested that changing one's answer on multiple-choice examinations is more likely to lead to positive academic outcomes. This study aimed to further understand the relationship between changing answer selections and item attributes, student performance, and time within a population of 158 first-year medical students enrolled in a…
Descriptors: Anatomy, Science Tests, Medical Students, Medical Education
Gal Kaldes; Elizabeth L. Tighe; Qiwei He – Grantee Submission, 2024
Introduction: Despite the necessity for adults with lower literacy skills to undergo and succeed in high-stakes computer-administered assessments (e.g., GED, HiSET), there remains a gap in understanding their engagement with digital literacy assessments. Methods: This study analyzed process data, specifically time allocation data, from the Program…
Descriptors: Time Management, Adults, Literacy, Computer Assisted Testing
Lê Th? Thu Trang; Marlizayati Johari; Hardimah Said – Education and Information Technologies, 2024
Online assessment is not new to teachers, students and educators worldwide as internet and personal computers have dominated the globe in late 20th and early 21st. centuries. Nonetheless, it was during COVID-19 pandemic that accelerated the development of online assessment as an alternative method to the traditional assessment. This study aims at…
Descriptors: Foreign Countries, Computer Assisted Testing, Language Tests, Teaching Methods
Gamze Erdem Cosgun – British Educational Research Journal, 2025
The role of artificial intelligence (AI) in education plays a crucial role in teacher training digitalisation. Although AI has enormous potential, not much is known about how pre-service teachers perceive and utilise AI tools in professional practice. Hence, this study, guided by the Unified Theory of Acceptance and Use of Technology framework,…
Descriptors: Artificial Intelligence, Digital Literacy, Preservice Teachers, Test Construction
Joakim Landahl – Learning, Media and Technology, 2024
This article explores the history of digital testing technology. Using an organisation that pioneered the use of international large-scale assessments -- the International Association for the Evaluation of Educational Achievement (IEA) -- I discuss the role of computers, punched cards, answer cards and scanning machines as an example of…
Descriptors: Educational History, Measurement, Testing, Computer Assisted Testing
Imtiaz Alam; Muhammad Khalid Mahmood; Ehsan Ullah – Journal of Education and Educational Development, 2024
The aim of this study was to document the university faculty members' views related to digital education during the COVID-19 pandemic and subsequently its influence on students' academic performance, encountered obstacles, and recognized prospects. A concurrent triangulation strategy by employing (QUAN+QUAL) mixed method design was used in this…
Descriptors: College Faculty, Electronic Learning, COVID-19, Pandemics
Blake Edward Morris – ProQuest LLC, 2024
Aim: This study aimed to describe the practices and perceptions of nurse educators when developing NGN-style test items. Methods: This study used a qualitative descriptive methodology to explore the practices and perceptions of nursing faculty when developing NGN-style test items from nursing faculty in accredited prelicensure programs in the…
Descriptors: Nursing Education, Test Items, Test Construction, Facilitators (Individuals)
Yang, Albert C. M.; Chen, Irene Y. L.; Flanagan, Brendan; Ogata, Hiroaki – Educational Technology & Society, 2021
Precision education is a new challenge in leveraging artificial intelligence, machine learning, and learning analytics to enhance teaching quality and learning performance. To facilitate precision education, text marking skills can be used to determine students' learning process. Text marking is an essential learning skill in reading. In this…
Descriptors: Grading, Computer Assisted Testing, Automation, Artificial Intelligence
Ebadi, Saman; Karimi, Elham; Vakili, Shokoufeh – Language Testing in Asia, 2023
As a part of a more extensive computerized dynamic assessment (CDA) project delivered through a dedicated website, www.lingeli.com, this study explores EFL learners' perspectives on an online listening comprehension dynamic assessment software focusing on inferential listening skills while trying to minimize the guessing effect. The study…
Descriptors: Listening Comprehension, Listening Comprehension Tests, Language Tests, Computer Assisted Testing

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