NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1,336 to 1,350 of 112,088 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Laci Watkins; Susan White; Sara McDaniel; Megan Fedewa; Daniel Cohen; Rajesh Kana – Preventing School Failure, 2024
There is increased focus on narrowing the research-to-practice gap in education for students with autism. Positive Behavior Interventions and Supports (PBIS) is an evidence-based and widely implemented framework designed to improve outcomes for all students; however, relatively little attention has focused specifically on using the PBIS framework…
Descriptors: Positive Behavior Supports, Models, Autism Spectrum Disorders, Evidence Based Practice
Peer reviewed Peer reviewed
Direct linkDirect link
Walter P. Vispoel; Hyeri Hong; Hyeryung Lee – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Although generalizability theory (GT) designs typically are analyzed using analysis of variance (ANOVA) procedures, they also can be integrated into structural equation models (SEMs). In this tutorial, we review basic concepts for conducting univariate and multivariate GT analyses and demonstrate advantages of doing such analyses within SEM…
Descriptors: Structural Equation Models, Self Concept Measures, Self Esteem, Generalizability Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Phillip K. Wood – Structural Equation Modeling: A Multidisciplinary Journal, 2024
The logistic and confined exponential curves are frequently used in studies of growth and learning. These models, which are nonlinear in their parameters, can be estimated using structural equation modeling software. This paper proposes a single combined model, a weighted combination of both models. Mplus, Proc Calis, and lavaan code for the model…
Descriptors: Structural Equation Models, Computation, Computer Software, Weighted Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Chi Kit Jacky Ng; Lok Yin Joyce Kwan; Wai Chan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In the past decade, moderated mediation analysis has been extensively and increasingly employed in social and behavioral sciences. With its widespread use, it is particularly important to ensure the moderated mediation analysis will not bring spurious results. Spurious effects have been studied in both mediation and moderation analysis, but this…
Descriptors: Mediation Theory, Social Sciences, Behavioral Sciences, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Somayeh B. Shafiei; Saeed Shadpour; Farzan Sasangohar; James L. Mohler; Kristopher Attwood; Zhe Jing – npj Science of Learning, 2024
The existing performance evaluation methods in robot-assisted surgery (RAS) are mainly subjective, costly, and affected by shortcomings such as the inconsistency of results and dependency on the raters' opinions. The aim of this study was to develop models for an objective evaluation of performance and rate of learning RAS skills while practicing…
Descriptors: Robotics, Surgery, Eye Movements, Medicine
Peer reviewed Peer reviewed
Direct linkDirect link
William R. Nugent – Measurement: Interdisciplinary Research and Perspectives, 2024
Symmetry considerations are important in science, and Group Theory is a theory of symmetry. Classical Measurement Theory is the most used measurement theory in the social and behavioral sciences. In this article, the author uses Matrix Lie (Lee) group theory to formulate a measurement model. Symmetry is defined and illustrated using symmetries of…
Descriptors: Item Response Theory, Measurement Techniques, Models, Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
K. K. Mashood; Arvind Kumar; Anwesh Mazumdar – International Journal of Mathematical Education in Science and Technology, 2024
Working with approximations is a common practice in physics. This paper presents an exploratory study of student understanding of some of the elementary aspects of approximations encountered in college physics. For this purpose, a questionnaire (a set of 14 multiple-choice questions) was developed to probe how students dealt with these aspects in…
Descriptors: Physics, Science Instruction, Mathematical Models, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Denisa Gandara; Hadis Anahideh – Society for Research on Educational Effectiveness, 2024
Background/Context: Predictive analytics has emerged as an indispensable tool in the education sector, offering insights that can improve student outcomes and inform more equitable policies (Friedler et al., 2019; Kleinberg et al., 2018). However, the widespread adoption of predictive models is hindered by several challenges, including the lack of…
Descriptors: Prediction, Learning Analytics, Ethics, Statistical Bias
Peer reviewed Peer reviewed
Direct linkDirect link
Shiyi Liu; Juan Zheng; Tingting Wang; Zeda Xu; Jie Chao; Shiyan Jiang – AERA Online Paper Repository, 2024
This study introduces a novel approach for predicting student engagement levels in a language-based AI curriculum. The curriculum was integrated into English Language Arts classrooms, in which 106 students from five classes participated five web-based machine learning and text mining modules for 2 weeks. Sentiment and categorical analyses,…
Descriptors: Learner Engagement, Artificial Intelligence, Technology Uses in Education, Language Arts
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Fei Shen; Ying Zhang; Xiafei Wang – Professional Counselor, 2024
Intimate partner violence (IPV) has consistently been shown to have deleterious effects on survivors' interpersonal and intrapersonal relationships. Despite the negative outcomes of IPV, distress after IPV varies widely, and not all IPV survivors show a significant degree of distress. The present study examined the impact of IPV on adult…
Descriptors: Family Violence, Attachment Behavior, Aggression, Adults
Peer reviewed Peer reviewed
Direct linkDirect link
Mauro H. André – Strategies: A Journal for Physical and Sport Educators, 2024
Student-centered pedagogical models (e.g., games-based approaches) have been encouraging physical education teachers to teach team and individual sports with game forms (small-sided and modified games) that promote play time for all students. These teaching methodologies promote students' motivation and engagement and enable an easier transition…
Descriptors: Educational Games, Physical Education, Curriculum Development, Game Based Learning
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Constance Tucker; Sarah Jacobs; Kirstin Moreno – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Learning outcomes and assessment frameworks guide educators in curricular decisionmaking, impact assessment, gap identification, and equity evaluation, aligning with anticipated learning objectives. Common frameworks include Bloom's taxonomy, Kirkpatrick's model, Fink's taxonomy, and Moore's Outcomes model. The authors identified a lack of focus…
Descriptors: Student Evaluation, Outcomes of Education, Taxonomy, Decision Making
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kurniasih, Nia; Emilia, Emi; Sujatna, Eva Tuckyta Sari – International Journal of Language Testing, 2023
This study aimed at evaluating a PISA-like reading test developed by teachers participating in the teacher training for teaching PISA-like reading. To serve this purpose, an experimental test was administered to 107 students aged 15-16 using a set of text and questions constructed according to the criteria of the PISA Reading test Level 1. Item…
Descriptors: International Assessment, Foreign Countries, Achievement Tests, Secondary School Students
AASA, The School Superintendent's Association, 2023
Tulsa (Okla.) Public Schools is a model for quality afterschool and summer out-of-school time. With pillars of capacity building, quality improvement of programs and creating a year-round engagement, its program structures have fostered familiarity, normalcy and whole-child support. TPS's education and out-of-school time values focus on the…
Descriptors: Public Schools, After School Programs, Summer Programs, Models
Peer reviewed Peer reviewed
Direct linkDirect link
von Eye, Alexander; Wiedermann, Wolfgang; Herman, Keith C.; Reinke, Wendy – Prevention Science, 2023
In standard statistical data analysis, the effects of intervention or prevention efforts are evaluated in terms of variable relations. Results from application of regression-type methods suggest whether, overall, intervention is successful. In this article, we propose using configural frequency analysis (CFA) either in tandem with regression-type…
Descriptors: Intervention, Regression (Statistics), Data Analysis, Profiles
Pages: 1  |  ...  |  86  |  87  |  88  |  89  |  90  |  91  |  92  |  93  |  94  |  ...  |  7473