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Markus T. Jansen; Ralf Schulze – Educational and Psychological Measurement, 2024
Thurstonian forced-choice modeling is considered to be a powerful new tool to estimate item and person parameters while simultaneously testing the model fit. This assessment approach is associated with the aim of reducing faking and other response tendencies that plague traditional self-report trait assessments. As a result of major recent…
Descriptors: Factor Analysis, Models, Item Analysis, Evaluation Methods
Falk, Carl F.; Feuerstahler, Leah M. – Educational and Psychological Measurement, 2022
Large-scale assessments often use a computer adaptive test (CAT) for selection of items and for scoring respondents. Such tests often assume a parametric form for the relationship between item responses and the underlying construct. Although semi- and nonparametric response functions could be used, there is scant research on their performance in a…
Descriptors: Item Response Theory, Adaptive Testing, Computer Assisted Testing, Nonparametric Statistics
Schoch, Kerstin; Ostermann, Thomas – Creativity Research Journal, 2022
Although art has been subject to psychological research for some time, the artwork itself received little attention in quantitative research. The rating instrument for two-dimensional pictorial works ("RizbA") fills this gap by providing a tool for formal picture analysis. This study validates the questionnaire on 294 images created by…
Descriptors: Psychometrics, Art, Measures (Individuals), Visual Arts
Barthakur, Abhinava; Kovanovic, Vitomir; Joksimovic, Srecko; Zhang, Zhonghua; Richey, Michael; Pardo, Abelardo – British Journal of Educational Technology, 2022
Technological affordances have shown promising potential in advancing the delivery of corporate learning programmes designed for professional leadership development. However, there is a considerable challenge in evaluating learners' skill acquisition, with most of the past research relying on pre- and post-tests or other forms of self-reports to…
Descriptors: Leadership, Workplace Learning, Computer Assisted Testing, Evaluation Methods
Demir, Seda – Journal of Educational Technology and Online Learning, 2022
The purpose of this research was to evaluate the effect of item pool and selection algorithms on computerized classification testing (CCT) performance in terms of some classification evaluation metrics. For this purpose, 1000 examinees' response patterns using the R package were generated and eight item pools with 150, 300, 450, and 600 items…
Descriptors: Test Items, Item Banks, Mathematics, Computer Assisted Testing
Yin Lee-Johnson; Vincent Flewellen; Kerri Fair; Katherine O'Connor; Trezette Dixon; Jennifer Ono; Ashley Spencer; Jonathon Singler; Melissa Schmuke; Jessica Hanses; Amanda Barton; Tamara Rodney – Sage Research Methods Cases, 2022
This case study is a demonstration of how an ethnographic study can be adapted to an online survey due to circumstantial challenges such as the COVID-19 pandemic. The researchers were the Director of Ed.D. and 11 doctoral students in a doctoral emphasis called Transformative Learning in the Global Community. The objective was to explore the social…
Descriptors: Ethnography, Surveys, COVID-19, Pandemics
Juuso Henrik Nieminen; Eeva Haataja; Peter J. Cobb – Teaching in Higher Education, 2025
This study examines how authentic assessment could nurture students' epistemic agency: their sense of agency in using, evaluating and producing knowledge. Authentic assessment commonly emphasises 'realism' and 'employability skills'. As important as these ideas are, this approach to authentic assessment neglects the key academic value of…
Descriptors: Active Learning, Performance Based Assessment, Epistemology, Realism
Marilyn U. Balagtas; Aurora B. Fulgencio; Joyce L. Bautista; Alvin B. Barcelona; Shiela Marie P. Jandusay; Ma. Danielle Renee Lim – Journal of Educators Online, 2025
The convenience and flexibility of online assessments can be beneficial in a variety of ways, but they can also pose risks and challenges, such as potential academic dishonesty by students. This study included 73 master's and doctoral students and investigated the relationship among their attitudes, experiences, and performance in an online…
Descriptors: Graduate Students, Student Attitudes, Student Experience, Academic Achievement
Paige E. Cervantes; Robert D. Gibbons; Lawrence A. Palinkas; Greta R. Conlon; Sarah M. Horwitz – Journal of Developmental and Physical Disabilities, 2025
Because autistic youth experience increased suicide risk and there are no suicide risk screening tools for this population, existing measures need to be evaluated and then modified with input from the autism community. This pilot study obtained feedback from autistic youth, caregivers, and autism specialist clinicians (N = 14) on the applicability…
Descriptors: Autism Spectrum Disorders, Suicide, Risk, Computer Assisted Testing
Andrei Ludu; Maria Ludu; Teha Cooks – Journal of Computers in Mathematics and Science Teaching, 2025
This paper presents research activity on computer-based mathematics learning to study the effectiveness of open-source teaching computer platforms (Canvas) in computer-assisted instruction. We designed a set of multiple-choice online quizzes as a dynamical flow-chart of possible paths to follow while solving a difficult math problem on…
Descriptors: Teaching Methods, Computer Assisted Instruction, Mathematics Education, Engineering Education
Ali Al-Omari; Somaya Al-Naami; Alaa Abu Ali – Educational Process: International Journal, 2025
Background/purpose: This study addresses the limited integration of digital learning applications in science education assessment in Jordan, where technological adoption in schools faces infrastructural and skill-related challenges. The main purpose was to investigate the extent to which science teachers in Mafraq Directorate of Education use…
Descriptors: Foreign Countries, Science Education, Computer Assisted Testing, Influences
Francisco Ortin; Alonso Gago; Jose Quiroga; Miguel Garcia – International Educational Data Mining Society, 2025
Online learning has enhanced accessibility in education, but also poses significant challenges in maintaining academic integrity during online exams, particularly when students are prohibited from accessing unauthorized resources through the Internet. Nonetheless, students must remain connected to the Internet in order to take the online exam.…
Descriptors: Electronic Learning, Computer Assisted Testing, Access to Internet, Synchronous Communication
Jussi S. Jauhiainen; Agustín Garagorry Guerra – Innovations in Education and Teaching International, 2025
The study highlights ChatGPT-4's potential in educational settings for the evaluation of university students' open-ended written examination responses. ChatGPT-4 evaluated 54 written responses, ranging from 24 to 256 words in English. It assessed each response using five criteria and assigned a grade on a six-point scale from fail to excellent,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Evaluation, Writing Evaluation
Timos Almpanis; Dom Conroy; Paul Joseph-Richard – Electronic Journal of e-Learning, 2025
The advent of Generative AI (GAI) tools such as ChatGPT, Google Gemini, and Microsoft Copilot has significantly impacted higher education. This exploratory study investigates the current perspectives of lecturers in Human Resource Management (HRM) and Psychology on adapting assessment strategies in response to GAI developments. Through an online…
Descriptors: Artificial Intelligence, Technology Uses in Education, Higher Education, College Faculty
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

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