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Olga Viberg; Chantal Mutimukwe; Stefan Hrastinski; Teresa Cerratto-Pargman; Joakim Lilliesköld – British Journal of Educational Technology, 2024
Digital technologies are increasingly used in assessment. On the one hand, this use offers opportunities for teachers to practice assessment more effectively, and on the other hand, it brings challenges to the design of pedagogically sound and responsible digital assessment. There is a lack of validated instruments and models that explain, assess…
Descriptors: Computer Assisted Testing, Teaching Methods, Evaluation Methods, Educational Trends
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Fu-Yun Yu – Interactive Learning Environments, 2024
Currently, 50 + learning systems supporting student question-generation (SQG) activities have been developed. While generating questions of different types is supported in many of these systems, systems allowing students to generate questions around a scenario (i.e. student testlet-generation, STG) are not yet available. Noting the increasing…
Descriptors: Computer Assisted Testing, Test Format, Test Construction, Test Items
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Christophe O. Soulage; Fabien Van Coppenolle; Fitsum Guebre-Egziabher – Advances in Physiology Education, 2024
Artificial intelligence (AI) has gained massive interest with the public release of the conversational AI "ChatGPT," but it also has become a matter of concern for academia as it can easily be misused. We performed a quantitative evaluation of the performance of ChatGPT on a medical physiology university examination. Forty-one answers…
Descriptors: Medical Students, Medical Education, Artificial Intelligence, Computer Software
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Hubert Izienicki – Teaching Sociology, 2024
Many instructors use a syllabus quiz to ensure that students learn and understand the content of the syllabus. In this project, I move beyond this exercise's primary function and examine students' syllabus quiz scores to see if they can predict how well students perform in the course overall. Using data from 495 students enrolled in 18 sections of…
Descriptors: Tests, Course Descriptions, Performance, Predictor Variables
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Kaveh Jalilzadeh; Mojgan Rashtchi; Fatemeh Mirzapour – Language Testing in Asia, 2024
A challenging aspect of online education is assessment since academic integrity could be violated due to students' cheating behaviors. The current qualitative research investigated English teachers' perceptions of why students cheat in online assessments. Besides, it attempted to find strategies to reduce cheating in online assessments. Twelve…
Descriptors: Cheating, Computer Assisted Testing, Coping, English (Second Language)
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Laura Kuusemets; Kristin Parve; Kati Ain; Tiina Kraav – International Journal of Education in Mathematics, Science and Technology, 2024
Using multiple-choice questions as learning and assessment tools is standard at all levels of education. However, when discussing the positive and negative aspects of their use, the time and complexity involved in producing plausible distractor options emerge as a disadvantage that offsets the time savings in relation to feedback. The article…
Descriptors: Program Evaluation, Artificial Intelligence, Computer Assisted Testing, Man Machine Systems
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Mark O'Rourke; Andreanne Doyon – International Journal of Educational Technology in Higher Education, 2024
This research explores using blogs as an innovative assessment tool to enhance authentic learning and professional skill development in students. Unlike traditional methods, blogs foster active knowledge building and peer interaction, making learning more engaging and aligned with industry contexts. The study involved third-year planning students,…
Descriptors: Electronic Publishing, Web Sites, Creativity, Computer Assisted Testing
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Ute Mertens; Marlit A. Lindner – Journal of Computer Assisted Learning, 2025
Background: Educational assessments increasingly shift towards computer-based formats. Many studies have explored how different types of automated feedback affect learning. However, few studies have investigated how digital performance feedback affects test takers' ratings of affective-motivational reactions during a testing session. Method: In…
Descriptors: Educational Assessment, Computer Assisted Testing, Automation, Feedback (Response)
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Eran Hadas; Arnon Hershkovitz – Journal of Learning Analytics, 2025
Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…
Descriptors: Creativity, Evaluation Methods, Computer Assisted Testing, Artificial Intelligence
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Emily Fourie; Szu-Ching Lu; Jonathan Delafield-Butt; Susan M. Rivera – Journal of Autism and Developmental Disorders, 2025
Autistic individuals often exhibit motor atypicalities, which may relate to difficulties in social communication. This study utilized a smart tablet activity to computationally characterize motor control by testing adherence to the two-thirds power law (2/3 PL), which captures a systematic covariation between velocity and curvature in motor…
Descriptors: Preschool Children, Elementary School Students, Autism Spectrum Disorders, Psychomotor Skills
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Mustafa Yildiz; Hasan Kagan Keskin; Saadin Oyucu; Douglas K. Hartman; Murat Temur; Mücahit Aydogmus – Reading & Writing Quarterly, 2025
This study examined whether an artificial intelligence-based automatic speech recognition system can accurately assess students' reading fluency and reading level. Participants were 120 fourth-grade students attending public schools in Türkiye. Students read a grade-level text out loud while their voice was recorded. Two experts and the artificial…
Descriptors: Artificial Intelligence, Reading Fluency, Human Factors Engineering, Grade 4
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Shuo Feng; Kailun Zhang – Second Language Research, 2025
The present study aims to explore how second language (L2) speakers process four types of presupposition triggers in an online self-paced reading task and an offline acceptability judgment task. The four types of triggers are definite expressions with "the," the factive verb "know," the change-of-state verb "stop" and…
Descriptors: Second Language Learning, Bilingualism, Computer Assisted Testing, Paper and Pencil Tests
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Eva de Schipper; Remco Feskens; Franck Salles; Saskia Keskpaik; Reinaldo dos Santos; Bernard Veldkamp; Paul Drijvers – Large-scale Assessments in Education, 2025
Background: Students take many tests and exams during their school career, but they usually receive feedback about their test performance based only on an analysis of the item responses. With the increase in digital assessment, other data have become available for analysis as well, such as log data of student actions in online assessment…
Descriptors: Problem Solving, Mathematics Instruction, Learning Analytics, Identification
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Rasha Mohamed Abdelrahman; Najeh Rajeh Alsalhi; Ahmad Mohammad Alzoubi; Abderrahim Benlahcene; Marei Ahmed; Abdalla Falah El-Mneizel – Educational Process: International Journal, 2025
Background/purpose: This study aims to better understand undergraduate students' perceptions of cheating in online learning programs at Ajman University, one of the higher education institutions in the United Arab Emirates. Materials/methods: The study used a descriptive method, employing a questionnaire instrument to collect data from faculty…
Descriptors: Foreign Countries, Undergraduate Students, Student Attitudes, Cheating
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Andrew Runge; Sarah Goodwin; Yigal Attali; Mya Poe; Phoebe Mulcaire; Kai-Ling Lo; Geoffrey T. LaFlair – Language Testing, 2025
A longstanding criticism of traditional high-stakes writing assessments is their use of static prompts in which test takers compose a single text in response to a prompt. These static prompts do not allow measurement of the writing process. This paper describes the development and validation of an innovative interactive writing task. After the…
Descriptors: Material Development, Writing Evaluation, Writing Assignments, Writing Skills
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