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Suppanut Sriutaisuk; Yu Liu; Seungwon Chung; Hanjoe Kim; Fei Gu – Educational and Psychological Measurement, 2025
The multiple imputation two-stage (MI2S) approach holds promise for evaluating the model fit of structural equation models for ordinal variables with multiply imputed data. However, previous studies only examined the performance of MI2S-based residual-based test statistics. This study extends previous research by examining the performance of two…
Descriptors: Structural Equation Models, Error of Measurement, Programming Languages, Goodness of Fit
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Kristen Bottema-Beutel; Ruoxi Guo; Caroline Braun; Kacie Dunham-Carr; Jennifer E. Markfeld; Grace Pulliam; S. Madison Clark; Bahar Keçeli-Kaysili; Jacob I. Feldman; Tiffany Woynaroski – Journal of Speech, Language, and Hearing Research, 2025
Purpose: This study aims to help researchers design observational measurement systems that yield sufficiently stable scores for estimating caregiver talk among caregivers of infant siblings of autistic and non-autistic children. Stable estimates minimize error introduced by facets of the measurement system, such as variability between coders or…
Descriptors: Autism Spectrum Disorders, Infants, Toddlers, At Risk Persons
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Keith J. Topping; Ed Gehringer; Hassan Khosravi; Srilekha Gudipati; Kaushik Jadhav; Surya Susarla – International Journal of Educational Technology in Higher Education, 2025
This paper surveys research and practice on enhancing peer assessment with artificial intelligence. Its objectives are to give the structure of the theoretical framework underpinning the study, synopsize a scoping review of the literature that illustrates this structure, and provide a case study which further illustrates this structure. The…
Descriptors: Peer Evaluation, Artificial Intelligence, Grades (Scholastic), Feedback (Response)
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Lori L. Montalbano; Sharon Stoerger – Assessment Update, 2025
The post-pandemic expectations of today's students require greater innovation in teaching and learning. Rapidly changing technologies and software applications will drastically change how higher education is structured and disseminated. In this article, the authors examine the use of micro-credentialing, the potential and challenges of Artificial…
Descriptors: Artificial Intelligence, Teaching Methods, Evaluation Methods, Educational Trends
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Ana Cintia Santos de Almeida; D. F. Rangel; L. L. Costa – Journal of Biological Education, 2025
This work tested the hypothesis that the academic performance of students in a distance learning course in Biological Sciences (PBS-CEDERJ) decreased during the COVID-19 pandemic in disciplines with and without practical activities. Performance was quantified via students' grades in PBS-CEDERJ disciplines in pre-pandemic years (2018 and 2019) and…
Descriptors: COVID-19, Pandemics, Performance, Distance Education
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Jay Loftus; Cassandra Barber; Timothy Wilson; Michele Jacobsen – Journal of Educational Multimedia and Hypermedia, 2025
Time is often an accommodation used to ensure equity during assessments. The assumption is that the provision of additional time would help learners who require accommodations. In this study we examined 29 learners of differing spatial ability on visual learning tasks using static and dynamic digital images. The performance and time required to…
Descriptors: Spatial Ability, Academic Accommodations (Disabilities), Testing Accommodations, Visual Learning
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Kazuhiro Yamaguchi – Journal of Educational and Behavioral Statistics, 2025
This study proposes a Bayesian method for diagnostic classification models (DCMs) for a partially known Q-matrix setting between exploratory and confirmatory DCMs. This Q-matrix setting is practical and useful because test experts have pre-knowledge of the Q-matrix but cannot readily specify it completely. The proposed method employs priors for…
Descriptors: Models, Classification, Bayesian Statistics, Evaluation Methods
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Vahe Permzadian; Kit W. Cho – Teaching in Higher Education, 2025
When administering an in-class exam, a common decision that confronts every instructor is whether the exam format should be closed book or open book. The present review synthesizes research examining the effect of administering closed-book or open-book assessments on long-term learning. Although the overall effect of assessment format on learning…
Descriptors: College Students, Tests, Test Format, Long Term Memory
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Ibrian Caramidaru – Discourse and Communication for Sustainable Education, 2025
The aim of this article is to provide a model for assessing service-learning projects mediated by a stakeholder approach to managing such educational pursuits. The method used for substantiating this proposal consists of matching the process of stakeholder analysis, customised for experiential learning, with the project scope and monitoring…
Descriptors: Stakeholders, Program Evaluation, Sustainability, Service Learning
Ofer Chen – ProQuest LLC, 2025
This dissertation examines the transformative potential of reflective practice in student assessment and feedback, while also developing tools to gain a nuanced understanding of teacher feedback dispositions and practices. It outlines the development and refinement of three novel tools: the Reflective Classroom Assessment Protocol (ReCAP), the…
Descriptors: Feedback (Response), Student Evaluation, Material Development, Questionnaires
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Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
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Supangjit Kanlayakaew; Pacharawit Chansirisira; Suwat Julsuwan – Journal of Education and Learning, 2025
The objectives of this study were: 1) to study the components and indicators of innovators in primary school teachers, and 2) to examine the consistency of the components model and indicators of innovators in primary school teachers with empirical data. The participants were 220 primary teachers under the Office of the Basic Education Commission…
Descriptors: Elementary School Teachers, Innovation, Teacher Characteristics, Evaluation Methods
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Xi Ling; Yuanyuan Chen; Shixin Zhao; Xuanmin Zhu – Journal of Education and Learning, 2025
This article presents an innovative and generalized CIPP evaluation model for breakdance courses based on Hiphop pedagogy, designed to help educators evaluate the design, implementation, and effectiveness of breakdance courses. Despite global interest in breakdance evaluation, few studies have focused on developing a comprehensive evaluation…
Descriptors: Dance Education, Course Evaluation, Evaluation Methods, Models
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Maria Hedefalk; Lovisa Sumpter – For the Learning of Mathematics, 2025
We live in an increasingly worrying future, where researchers are looking at how we can create education for a sustainable world. In this study we investigate what such education could look like, especially for young students, reinforcing hope and an ability to act and come up with ideas of sustainable solutions with no obvious 'good' solution.…
Descriptors: Early Childhood Education, Young Children, Ethics, Sustainability
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Xiangyu Li; Boby Ho-Hong Ching; Lihua Tan; Xiaofei Li; Jiajia Li; Tiffany Ting Chen – Educational Psychology Review, 2025
Substantial research has explored the connection between children's spontaneous focusing on numerosity (SFON) and their current and later mathematical achievement. However, the findings have been inconsistent, and no comprehensive investigation has yet been conducted. This meta-analysis examines the relation between SFON and mathematics…
Descriptors: Numeracy, Mathematics Skills, Meta Analysis, Mathematics Achievement
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