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Lindsay Pennington; Lily Potts; Janice Murray; Johanna Geytenbeek; Kate Laws; Jenefer Sargent; Michael Clarke; John Swettenham; Julie Lachkovic; Catherine Martin; Elaine McColl – International Journal of Language & Communication Disorders, 2025
Background: Current UK measures of early spoken language comprehension require manipulation of toys and/or verbal responses and are not accessible to children with severe motor impairments. The Computer-Based Instrument for Low motor Language Testing (C-BiLLT) (originally validated in Dutch) is a computerized test of spoken language comprehension…
Descriptors: Foreign Countries, Children, Motor Development, Psychomotor Skills
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Celeste Combrinck; Nelé Loubser – Discover Education, 2025
Written assignments for large classes pose a far more significant challenge in the age of the GenAI revolution. Suggestions such as oral exams and formative assessments are not always feasible with many students in a class. Therefore, we conducted a study in South Africa and involved 280 Honors students to explore the usefulness of Turnitin's AI…
Descriptors: Foreign Countries, Artificial Intelligence, Large Group Instruction, Alternative Assessment
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Bacca-Acosta, Jorge; Avila-Garzon, Cecilia – Journal of Computer Assisted Learning, 2021
Research on mobile-based assessment systems is still an emerging topic in the mobile learning field. Current research has demonstrated that the use of mobile-based assessment systems seems to have a positive impact on students' learning outcomes and motivation. The paper identifies some factors that influence student engagement with mobile-based…
Descriptors: Learner Engagement, Handheld Devices, Computer Assisted Testing, Electronic Learning
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Provasnik, Stephen – Large-scale Assessments in Education, 2021
This paper presents the concepts and observations in the author's keynote address at the May 2019 "Opportunity versus Challenge: Exploring Usage of Log-File and Process Data in International Large-Scale Assessments" conference in Dublin, Ireland. This paper recaps briefly some key points that emerged at the December 2018 ETS symposium on…
Descriptors: Data Collection, Cognitive Processes, Ethics, Student Evaluation
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Arora, Simple; Chaudhary, Priya; Singh, Reetesh Kr – Interactive Technology and Smart Education, 2021
Purpose: The novel coronavirus pandemic is projected to cause an elevation in anxiety levels across the globe. With everything shifting to online mode, the teaching-learning has also gone virtual. This study aims to analyze the impact of novel coronavirus and online education on student's anxiety and self-efficacy, investigate the role of coping…
Descriptors: COVID-19, Pandemics, Computer Assisted Testing, Test Anxiety
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Lemmo, Alice – International Journal of Science and Mathematics Education, 2021
Comparative studies on paper and pencil--and computer-based tests principally focus on statistical analysis of students' performances. In educational assessment, comparing students' performance (in terms of right or wrong results) does not imply a comparison of problem-solving processes followed by students. In this paper, we present a theoretical…
Descriptors: Computer Assisted Testing, Comparative Analysis, Evaluation Methods, Student Evaluation
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Millar, Russell; Manoharan, Sathiamoorthy – International Journal of Educational Technology in Higher Education, 2021
It is demonstrated that the fully automatic generation of isomorphic questions allows for both repeat assessment, and for this assessment to be individualized. While this does require a substantial up-front effort, once prepared assessments can be reproduced with relative ease and with a near-zero probability of students receiving the same…
Descriptors: Student Evaluation, Cooperative Learning, Peer Relationship, Discussion (Teaching Technique)
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Wijanarko, Bambang Dwi; Heryadi, Yaya; Toba, Hapnes; Budiharto, Widodo – Education and Information Technologies, 2021
Automated question generation is a task to generate questions from structured or unstructured data. The increasing popularity of online learning in recent years has given momentum to automated question generation in education field for facilitating learning process, learning material retrieval, and computer-based testing. This paper report on the…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Computer Software
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Berényi, László; Deutsch, Nikolett; Szolnoki, Bernadett; Birkner, Zoltán – Electronic Journal of e-Learning, 2021
The success of developing e-learning is determined by curriculum quality, the availability of technological requirements and, to an even greater extent, by user response to the technology introduced in the process. Digital enhancement of education through e-learning solutions should also take the unique attributes of the targeted local region,…
Descriptors: Student Attitudes, Electronic Learning, Foreign Countries, Engineering Education
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Rebman, Carl M., Jr.; White, Gwendolyn; Wimmer, Hayden; Powell, Loreen Marie; Booker, Queen E. – Information Systems Education Journal, 2021
The corona virus (COVID-19) caused serious havoc on society impacting all industries resulting in major changes in business practices, operations, and policy. In the case of academia, at a moment's notice, all universities that used face-to-face instruction were forced to move to an online format and make serious modification to successful…
Descriptors: COVID-19, Pandemics, Computer Software, Specialists
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Ocak, Gürbüz; Karakus, Gülçin – Themes in eLearning, 2021
The coronavirus pandemic, which affected every aspect of life around the world, has led to radical changes in teaching and learning methods. It is no longer healthy for students being together for a long time in classroom. For this reason, online education applications have started to be implemented rapidly around the world. Not only the education…
Descriptors: Undergraduate Students, Student Attitudes, Distance Education, Computer Assisted Testing
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Silverman, Sarah; Caines, Autumm; Casey, Christopher; Garcia de Hurtado, Belen; Riviere, Jessica; Sintjago, Alfonso; Vecchiola, Carla – To Improve the Academy, 2021
The COVID-19 pandemic made traditionally proctored in-person exams impossible. This article provides a summary of the arguments against institutional adoption of remote proctoring services with a focus on equity, an account of the decision to avoid remote proctoring on the University of Michigan--Dearborn campus, and conclusions and suggestions…
Descriptors: Distance Education, Computer Assisted Testing, Supervision, Performance Based Assessment
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Wise, Steven L.; Soland, James; Dupray, Laurence M. – Journal of Applied Testing Technology, 2021
Technology-Enhanced Items (TEIs) have been purported to be more motivating and engaging to test takers than traditional multiple-choice items. The claim of enhanced engagement, however, has thus far received limited research attention. This study examined the rates of rapid-guessing behavior received by three types of items (multiple-choice,…
Descriptors: Test Items, Guessing (Tests), Multiple Choice Tests, Achievement Tests
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Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
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Visintini, Gloria – Research-publishing.net, 2021
This article describes the move to digital teaching and learning for the language team in the School of Modern Languages (SML) at the University of Bristol as a consequence of COVID-19 in March 2020. Topics discussed here include the educational guidelines the university put in place; how these were followed and implemented by colleagues in Modern…
Descriptors: Foreign Countries, Distance Education, Web Based Instruction, COVID-19
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