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Wei Wang; Xiaoying Wang; Shanshan Li; Tianshu Ma; M. N. Poni Liu; Hongzhi Sun – Psychology in the Schools, 2024
The prevalence of collaborative learning in online virtual environments is on the rise. It is vital to investigate the effect of emotional interaction on the learning engagement of students. The university students who participated in 16 h of online collaborative learning responded to an anonymous survey. The instruments included Collaborative…
Descriptors: Cooperative Learning, Online Courses, Emotional Response, Interaction
Glazer, Nancy; Wolfe, Edward W. – Applied Measurement in Education, 2020
This introductory article describes how constructed response scoring is carried out, particularly the rater monitoring processes and illustrates three potential designs for conducting rater monitoring in an operational scoring project. The introduction also presents a framework for interpreting research conducted by those who study the constructed…
Descriptors: Scoring, Test Format, Responses, Predictor Variables
Allen, Jeff; Anguiano-Carrasco, Cristina; Walton, Kate E. – ACT, Inc., 2022
This paper documents the development of the Mosaic Readiness Index, a score that is reported for individuals who take the high school version of Mosaic by ACT®: Social Emotional Learning Assessment (hereafter referred to as the Mosaic assessment). The Mosaic Readiness Index is designed to predict high school academic outcomes--namely high school…
Descriptors: High School Students, Aptitude Tests, Social Emotional Learning, Predictor Variables
Wells, Jenny C.; Sheehey, Patricia H.; Sheehey, Michael – Beyond Behavior, 2017
Self-regulation skills have been found to be an important predictor of achievement in mathematics. Teaching a student to regulate his or her behavior during independent math work sessions using self-monitoring of performance with self-graphing focuses him or her on academic performance and results in increases in productivity and math proficiency.…
Descriptors: Productivity, Self Management, Mathematics Achievement, Predictor Variables
Sulis, Isabella; Toland, Michael D. – Journal of Early Adolescence, 2017
Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…
Descriptors: Hierarchical Linear Modeling, Item Response Theory, Psychometrics, Evaluation Methods
Donnellan, M. Brent; Ferguson, Christopher J. – Developmental Psychology, 2014
Zimmerman (2014) suggested that our reanalysis adds little to the scientific literature. We disagree. We clarify our motivations and explain how further analyses based on his suggestion for age do not change our conclusions. Moreover, we believe the nascent experimental literature is more in line with our interpretations than Zimmerman's. We…
Descriptors: Effect Size, Reader Response, Criticism, Language Acquisition
National Forum on Education Statistics, 2018
The Forum Guide to Early Warning Systems provides information and best practices to help education agencies plan, develop, implement, and use an early warning system in their agency to inform interventions that improve student outcomes. The document includes a review of early warning systems and their use in education agencies and explains the…
Descriptors: Educational Indicators, Best Practices, Elementary Secondary Education, Data Collection
McDonald, Roderick P. – Psychometrika, 2011
A distinction is proposed between measures and predictors of latent variables. The discussion addresses the consequences of the distinction for the true-score model, the linear factor model, Structural Equation Models, longitudinal and multilevel models, and item-response models. A distribution-free treatment of calibration and…
Descriptors: Measurement, Structural Equation Models, Item Response Theory, Error of Measurement
Wright, Mary C.; McKay, Timothy; Hershock, Chad; Miller, Kate; Tritz, Jared – Change: The Magazine of Higher Learning, 2014
Learning Analytics (LA) has been identified as one of the top technology trends in higher education today (Johnson et al., 2013). LA is based on the idea that datasets generated through normal administrative, teaching, or learning activities--such as registrar data or interactions with learning management systems--can be analyzed to enhance…
Descriptors: STEM Education, Introductory Courses, Physics, Technology Uses in Education
National Center on Response to Intervention, 2013
A valid screening system requires a screener that accurately predicts whether or not students are at risk given their current performance. To understand a screening measure's accuracy, predicted student performance data (i.e., screening data) must be compared with actual performance data. When these sets of data are compared in a setting where…
Descriptors: Screening Tests, Classification, Accuracy, Response to Intervention
Castillo, Jose M.; Batsche, George M. – Communique, 2012
District implementation of the response to intervention (RTI) model has occurred at a surprising rate. It appears that implementation of RTI has occurred rapidly and is being implemented with all students. Rapid implementation of RTI is occurring alongside continued controversy over the model and its intended uses. Although significant research…
Descriptors: Response to Intervention, Program Implementation, Skill Development, Program Evaluation
Michael, Jack; Palmer, David C.; Sundberg, Mark L. – Analysis of Verbal Behavior, 2011
Amid the novel terms and original analyses in Skinner's "Verbal Behavior", the importance of his discussion of multiple control is easily missed, but multiple control of verbal responses is the rule rather than the exception. In this paper we summarize and illustrate Skinner's analysis of multiple control and introduce the terms "convergent…
Descriptors: Verbal Operant Conditioning, Children, Autism, Speech
Dalton, Elizabeth M.; Brand, Susan Trostle – Forum on Public Policy Online, 2012
Early Childhood Education (EDE) describes the education of young children from birth through age 8. EDE reports have concluded that traditional approaches to curriculum, such as those emphasizing drill and practice of isolated, academic skills, are not in line with current knowledge of human learning and neuropsychology. These approaches fail to…
Descriptors: Access to Education, Student Evaluation, Literacy, Curriculum Design
Dickinson, David K.; Golinkoff, Roberta M.; Hirsh-Pasek, Kathy – Educational Researcher, 2010
Although the National Early Literacy Panel report provides an important distillation of research, the manner in which the data are reported underrepresents the importance of language. Unlike other predictors with moderate associations with later reading, language exerts pervasive and indirect influences that are not described by the effect sizes…
Descriptors: Emergent Literacy, Predictor Variables, Language Processing, Language Skills
McGowan, Herle M. – Journal of Statistics Education, 2011
A well-designed experiment is the best method for establishing efficacy of any intervention, be it medical, behavioral, or educational in nature. This paper reviews the steps necessary in conducting a comparative experiment in an educational setting, and illustrates how these steps might be fulfilled within the context of a large-scale randomized…
Descriptors: Statistics, Experiments, Comparative Analysis, Research Methodology

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