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Showing 46 to 60 of 225 results Save | Export
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Andreea Dutulescu; Stefan Ruseti; Denis Iorga; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
Automated multiple-choice question (MCQ) generation is valuable for scalable assessment and enhanced learning experiences. How-ever, existing MCQ generation methods face challenges in ensuring plausible distractors and maintaining answer consistency. This paper intro-duces a method for MCQ generation that integrates reasoning-based explanations…
Descriptors: Automation, Computer Assisted Testing, Multiple Choice Tests, Natural Language Processing
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Gurvinder Kaur; Stephanie Stroever; Megh Gore; Bridget Vories; Vaughan H. Lee; Keith N. Bishop; Brandt L. Schneider – Discover Education, 2025
Background: Formative assessments build a positive learning environment and provide feedback to enhance learning. This study examined the impact of online formative and low-stake summative assessments on medical students' learning outcomes in the Clinically Oriented Anatomy course from 2016 to 2020. We aimed to demonstrate that formative…
Descriptors: At Risk Students, Identification, Prediction, Anatomy
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Tiana P. Johnson-Clements; Guy J. Curtis; Joseph Clare – Journal of Academic Ethics, 2025
Concerns over students engaging in various forms of academic misconduct persist, especially with the post-COVID-19 rise in online learning and assessment. Research has demonstrated a clear role of the personality trait psychopathy in cheating, yet little is known about why this relationship exists. Building on the research by Curtis et al.…
Descriptors: Pandemics, COVID-19, Cheating, Electronic Learning
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Abigail M. A. Love; Ru Ying Cai; Jennifer Stephenson; Emma Gallagher; Michael D. Toland; Vicki Gibbs – Journal of Autism and Developmental Disorders, 2025
Autistic students are educated in Australia across a variety of contexts and almost all educators use individualized goal-setting as a way of ensuring appropriate accommodations and curriculum modifications. Educators experience similar challenges when developing individualized goals for students, including lack of a standardized process for goal…
Descriptors: Computer Assisted Testing, Adaptive Testing, Autism Spectrum Disorders, Foreign Countries
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Wesley Morris; Langdon Holmes; Joon Suh Choi; Scott Crossley – International Journal of Artificial Intelligence in Education, 2025
Recent developments in the field of artificial intelligence allow for improved performance in the automated assessment of extended response items in mathematics, potentially allowing for the scoring of these items cheaply and at scale. This study details the grand prize-winning approach to developing large language models (LLMs) to automatically…
Descriptors: Automation, Computer Assisted Testing, Mathematics Tests, Scoring
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Meljun Barnayha; Gamaliel Gonzales; Rachel Lavador; Jessamae Martel; Ma. Kathleen Urot; Roselyn Gonzales – Psychology in the Schools, 2025
This study examines the determinants of online academic dishonesty using the theory of planned behavior. We surveyed 1087 college students in Central Philippines and utilized a partial least squares-structural equation modeling analysis to evaluate a proposed model. Results demonstrate that 10 of the 11 hypothesized relationships are statistically…
Descriptors: Self Control, Cheating, Intervention, Ethics
Jonathan Seiden – Annenberg Institute for School Reform at Brown University, 2025
Direct assessments of early childhood development (ECD) are a cornerstone of research in developmental psychology and are increasingly used to evaluate programs and policies in lower- and middle-income countries. Despite strong psychometric properties, these assessments are too expensive and time consuming for use in large-scale monitoring or…
Descriptors: Young Children, Child Development, Performance Based Assessment, Developmental Psychology
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Joshua Anbar; Maurice Metoyer; Christopher J. Smith; Nicole L. Matthews – Journal of Autism and Developmental Disorders, 2025
Purpose: Most assessment tools used to diagnose and characterize autism spectrum disorder (ASD) were developed for in-person administration. The coronavirus disease 2019 (COVID-19) pandemic resulted in the need to adapt traditional assessment tools for online administration with only minimal evidence to support validity of such practices. Methods:…
Descriptors: Intelligence Tests, Autism Spectrum Disorders, Scores, Computer Assisted Testing
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Maria Townsend; Emma Champion; Gwendoline Berndt – Open Learning, 2025
Standard online tutorials at The Open University, based in the UK, are generally tutor-led with the tutor setting the agenda and content. This study investigated the inclusion of online student-led drop-in tutorials to support assessment on an OU level one module. The aims were to gauge the value to students of this style of tutorial, to…
Descriptors: Electronic Learning, Open Education, Tutorial Programs, Computer Assisted Testing
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David Chen – Leadership and Policy in Schools, 2025
This paper explores the relationship between educational technologies and public education, discussing issues of technology becoming an end in itself, the impact of learner access to knowledge, technology's role in assessment, requisite skills for a technological society, and the technology's capacity to inform policy and practice. While…
Descriptors: Educational Technology, Public Education, Technology Uses in Education, Computer Assisted Testing
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Jonas Flodén – British Educational Research Journal, 2025
This study compares how the generative AI (GenAI) large language model (LLM) ChatGPT performs in grading university exams compared to human teachers. Aspects investigated include consistency, large discrepancies and length of answer. Implications for higher education, including the role of teachers and ethics, are also discussed. Three…
Descriptors: College Faculty, Artificial Intelligence, Comparative Testing, Scoring
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Yusuf Oc; Hela Hassen – Marketing Education Review, 2025
Driven by technological innovations, continuous digital expansion has transformed fundamentally the landscape of modern higher education, leading to discussions about evaluation techniques. The emergence of generative artificial intelligence raises questions about reliability and academic honesty regarding multiple-choice assessments in online…
Descriptors: Higher Education, Multiple Choice Tests, Computer Assisted Testing, Electronic Learning
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Daniel Domínguez-Figaredo; Inés Gil-Jaurena – Distance Education, 2025
This study analyses changes in students' perceptions of online examinations during the transition from a face-to-face to a fully online assessment system. We compare data from a survey administered to two samples of students at a distance learning university at the end of two consecutive academic years in which a new online examination system was…
Descriptors: Computer Assisted Testing, Student Attitudes, Attitude Change, College Students
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Alireza Maleki – Journal of Academic Ethics, 2025
Although existing research has explored various aspects of online exam cheating, there is a scarcity of studies with in-depth qualitative phases focusing specifically on psychological reasons for online exam cheating in higher education context. Therefore, the aim of this mixed-methods research is to investigate the psychological reasons behind…
Descriptors: English (Second Language), Computer Assisted Testing, Cheating, College Students
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Jun-ichiro Yasuda; Michael M. Hull; Naohiro Mae; Kentaro Kojima – Physical Review Physics Education Research, 2025
Although conceptual assessment tests are commonly administered at the beginning and end of a semester, this pre-post approach has inherent limitations. Specifically, education researchers and instructors have limited ability to observe the progression of students' conceptual understanding throughout the course. Furthermore, instructors are limited…
Descriptors: Computer Assisted Testing, Adaptive Testing, Science Tests, Scientific Concepts
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