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Belias, Michail; Rovers, Maroeska M.; Hoogland, Jeroen; Reitsma, Johannes B.; Debray, Thomas P. A.; IntHout, Joanna – Research Synthesis Methods, 2022
One of the main goals of an individual participant data meta-analysis (IPD-MA) of intervention studies is to investigate whether treatment effect differences are present, and how they are associated with patient characteristics. Examining treatment heterogeneity due to a continuous covariable (e.g., BMI or age) may be challenging, since there is…
Descriptors: Meta Analysis, Outcomes of Treatment, Prediction, Multivariate Analysis
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Ceh, Simon Majed; Edelmann, Carina; Hofer, Gabriela; Benedek, Mathias – Journal of Creative Behavior, 2022
Creativity research crucially relies on creativity evaluations by external raters, but it is not clear what properties characterize good raters. In the present study, we investigated whether rater personality and rater creativity are related to discernment (i.e., the ability to distinguish creative from uncreative responses) when evaluating…
Descriptors: Novices, Evaluators, Creativity, Personality Traits
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Xie, Cong; Luchini, Simone; Beaty, Roger E.; Du, Ying; Liu, Chunyu; Li, Yadan – Creativity Research Journal, 2022
Evidence from fMRI research indicates that individual creative thinking ability -- defined as performance on divergent thinking tasks, subjectively assessed by human raters -- can be predicted based on the strength of functional connectivity (FC) between the brain's default mode network (DMN) and frontoparietal control network (FPCN). Here, we…
Descriptors: Creativity, Creative Thinking, Natural Language Processing, Spectroscopy
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Itasanmi, Sunday A.; Ekpenyong, Violet O.; Akintolu, Morakinyo; Ajani, Oluwatoyin A. – Electronic Journal of e-Learning, 2022
This study examined the predictors of academic staff motivation for online teaching in a Nigerian University. Theory of Planned Behaviour served as the conceptual foundation for the study. A survey design was adopted and a total of one hundred and nine-five (195) academic staff participated in the study from a university that was purposefully…
Descriptors: Prediction, Teacher Motivation, Web Based Instruction, College Faculty
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Wang, Yu-Yin; Wang, Yi-Shun – Interactive Learning Environments, 2022
While increasing productivity and economic growth, the application of artificial intelligence (AI) may ultimately require millions of people around the world to change careers or improve their skills. These disruptive effects contribute to the general public anxiety toward AI development. Despite the rising levels of AI anxiety (AIA) in recent…
Descriptors: Test Construction, Test Validity, Artificial Intelligence, Anxiety
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Vongkulluksn, Vanessa W.; Xie, Kui – Open Education Studies, 2022
Learning processes often occur at a situational level. Changes in learning context have implications on how students are motivated or are able to cognitively process information. To study such situational phenomena, Experience Sampling Method (ESM) can help assess psychological variables in the moment and in context. However, data collected via…
Descriptors: Learning Processes, Sampling, Hierarchical Linear Modeling, Experience
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Graham, Steve; Hsiang, Tien Ping; Ray, Amber B.; Zheng, Guihua; Hebert, Michael – Elementary School Journal, 2022
Three studies examined if teachers' beliefs about writing predicted their efficacy to teach writing. We surveyed primary grade teachers from Taiwan (N = 782), Shanghai (N = 429), and the United States (N = 214). At each location, teachers completed surveys assessing attitudes toward writing and the teaching of writing, beliefs about students'…
Descriptors: Prediction, Teacher Effectiveness, Writing Instruction, Teacher Attitudes
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Mentzer, Kevin; Galante, Zachary; Frydenberg, Mark – Information Systems Education Journal, 2022
Organizations are keenly interested in data gathering from websites where discussions of products and brands occur. This increasingly means that programmers need an understanding of how to work with website application programming interfaces (APIs) for data acquisition. In this hands-on lab activity, students will learn how to gather data from…
Descriptors: Prediction, Competition, Music, Data Analysis
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Callan, Gregory; Longhurst, David; Shim, Serena; Ariotti, Anthony – Psychology in the Schools, 2022
This study examined how teachers support self-regulated learning (SRL) by examining reports of 15 potential practices and differentiated the use of these practices via teachers' SRL knowledge, beliefs, demographics, and student characteristics. Teachers (n = 112) responded to open-ended questions targeting SRL knowledge, beliefs, and practices and…
Descriptors: Identification, Prediction, Teaching Methods, Learning Strategies
Nnamdi Chika Ezike – ProQuest LLC, 2022
Fitting wrongly specified models to observed data may lead to invalid inferences about the model parameters of interest. The current study investigated the performance of the posterior predictive model checking (PPMC) approach in detecting model-data misfit of the hierarchical rater model (HRM). The HRM is a rater-mediated model that incorporates…
Descriptors: Prediction, Models, Interrater Reliability, Item Response Theory
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Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2022
Structural equation modeling (SEM) is a widely used technique for studies involving latent constructs. While covariance-based SEM (CB-SEM) permits estimating the regression relationship among latent constructs, the parameters governing this relationship do not apply to that among the scored values of the constructs, which are needed for…
Descriptors: Psychometrics, Structural Equation Models, Scores, Least Squares Statistics
Julie Swaringim-Griffin – ProQuest LLC, 2022
Doctoral programs experience low attrition rates and with keeping this in mind, it is important to address the challenges and barriers preventing students from reaching their academic goals. The purpose of this study is to investigate knowledge sharing behaviors and types of knowledge being shared among doctoral students and whether this process…
Descriptors: Knowledge Management, Sharing Behavior, Doctoral Students, Self Efficacy
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Austin L. Boroshok; Anne T. Park; Panagiotis Fotiadis; Gerardo H. Velasquez; Ursula A. Tooley; Katrina R. Simon; Jasmine C. P. Forde; Lourdes M. Delgado Reyes; M. Dylan Tisdall; Dani S. Bassett; Emily A. Cooper; Allyson P. Mackey – npj Science of Learning, 2022
Neuroplasticity, defined as the brain's "potential" to change in response to its environment, has been extensively studied at the cellular and molecular levels. Work in animal models suggests that stimulation to the ventral tegmental area (VTA) enhances plasticity, and that myelination constrains plasticity. Little is known, however,…
Descriptors: Individual Differences, Brain Hemisphere Functions, Learning Processes, Correlation
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Khalid Alalawi; Rukshan Athauda; Raymond Chiong; Ian Renner – Education and Information Technologies, 2025
Learning analytics intervention (LAI) studies aim to identify at-risk students early during an academic term using predictive models and facilitate educators to provide effective interventions to improve educational outcomes. A major impediment to the uptake of LAI is the lack of access to LAI infrastructure by educators to pilot LAI, which…
Descriptors: Intervention, Learning Analytics, Guidelines, Prediction
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Thaslim Begum Aiyoob; Ai Noi Lee; Youyan Nie – Asia-Pacific Education Researcher, 2025
Guided by the Self-Determination Theory, this study examines the mediating role of teachers' basic psychological needs satisfaction in the relationships between teachers' perceived supervisor learning support and teachers' use of technology and job satisfaction. 180 teachers in Singapore participated in the study by completing a questionnaire.…
Descriptors: Job Satisfaction, Psychological Needs, Technology Uses in Education, Professional Autonomy
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