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Jinyoung Kang; Donggyu Yi; Jong Ho Hong – Environmental Education Research, 2024
Environmental education (EE) has received more and more attention worldwide. In Korea, there is a national consensus on the importance of EE; however, it is not as much of a priority as other education subjects or themes, based on annual survey results. This study asks how much value Korean citizens place on EE, revealing its value more…
Descriptors: Foreign Countries, Environmental Education, Public Opinion, Economic Research
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David Bruns-Smith; Oliver Dukes; Avi Feller; Elizabeth L. Ogburn – Grantee Submission, 2024
We provide a novel characterization of augmented balancing weights, also known as automatic debiased machine learning (AutoDML). These popular "doubly robust" or "de-biased machine learning estimators" combine outcome modeling with balancing weights -- weights that achieve covariate balance directly in lieu of estimating and…
Descriptors: Regression (Statistics), Weighted Scores, Data Analysis, Robustness (Statistics)
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Lennert J. Groot; Kees-Jan Kan; Suzanne Jak – Research Synthesis Methods, 2024
Researchers may have at their disposal the raw data of the studies they wish to meta-analyze. The goal of this study is to identify, illustrate, and compare a range of possible analysis options for researchers to whom raw data are available, wanting to fit a structural equation model (SEM) to these data. This study illustrates techniques that…
Descriptors: Meta Analysis, Structural Equation Models, Research Methodology, Data Analysis
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Avital Binah-Pollak; Orit Hazzan; Koby Mike; Ronit Lis Hacohen – Education and Information Technologies, 2024
The significance of ethics in data science research has attracted considerable attention in recent years. While there is widespread agreement on the importance of teaching ethics within computing contexts, there is no clear method for its implementation and assessment. Studies focusing on methods for integrating ethics into data science courses…
Descriptors: Data Science, Anthropology, Ethics, Context Effect
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Rashelle J. Musci; Joseph Kush; Elise T. Pas; Catherine P. Bradshaw – Grantee Submission, 2024
Given the increased focus of educational research on what works for whom and under what circumstances over the last decade, educational researchers are increasingly turning toward mixture models to identify heterogeneous subgroups among students. Such data are inherently nested, as students are nested within classrooms and schools. Yet there has…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Nonparametric Statistics, Educational Research
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Shuanghong Shen; Qi Liu; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…
Descriptors: Student Behavior, Electronic Learning, Data Analysis, Models
Richard John Reeves – ProQuest LLC, 2024
Postsecondary Institutions are under pressure to explain their costs. Noninstructional administrative staff represent a significant cost and number of people working in higher education. Postsecondary institutions hire noninstructional staff in response to their specific needs related to educational activity at the institution. Past research on…
Descriptors: School Personnel, Higher Education, School Size, Data Analysis
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Michael DeBuse; Dallin Clayton; Brooks Butler; Sean Warnick – International Journal of Artificial Intelligence in Education, 2024
This work considers group discussion data, as recorded in video conferencing settings, and demonstrates the ability to use readily available computational tools to glean important information characterizing the dynamics of the group discussion. In particular, our toolbox reveals a number of important characteristics of a discussion, including who…
Descriptors: Discussion (Teaching Technique), Discussion Groups, Group Dynamics, Group Discussion
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Katherine L. Robershaw; Min Xiao; Baron G. Wolf – Research Management Review, 2024
As data-informed decision-making continues to evolve across multiple disciplines in higher education institutions, and as the role of research administration continues to expand from proposal submissions, compliance, and managing research and development expenditures to a profession with an active partnership with investigators to support…
Descriptors: Literature Reviews, Data Analysis, Research Administration, Institutional Research
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Xie Fei; Omer Hassan Ali Mahfoodh; Malini N. G. Ganapathy – Language Teaching Research Quarterly, 2024
While extensive research has explored Second Language Vocabulary Acquisition (SLVA) acquisition, there has been a lack of comprehensive bibliometric analysis on this topic. This study addresses this gap by investigating research trends and collaboration networks in SLVA over the past 24 years. Publications on SLVA were retrieved and analysed using…
Descriptors: Literature Reviews, Bibliometrics, Data Analysis, Second Language Learning
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Jie Fang; Zhonglin Wen; Kit-Tai Hau – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Currently, dynamic structural equation modeling (DSEM) and residual DSEM (RDSEM) are commonly used in testing intensive longitudinal data (ILD). Researchers are interested in ILD mediation models, but their analyses are challenging. The present paper mathematically derived, empirically compared, and step-by-step demonstrated three types (i.e.,…
Descriptors: Structural Equation Models, Mediation Theory, Data Analysis, Longitudinal Studies
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Alexander D. Latham; David A. Klingbeil – Grantee Submission, 2024
The visual analysis of data presented in time-series graphs are common in single-case design (SCD) research and applied practice in school psychology. A growing body of research suggests that visual analysts' ratings are often influenced by construct-irrelevant features including Y-axis truncation and compression of the number of data points per…
Descriptors: Intervention, School Psychologists, Graphs, Evaluation Methods
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Aydin, Orhan; Tanious, René – Journal of Applied Behavior Analysis, 2022
Visual analysis and nonoverlap-based effect sizes are predominantly used in analyzing single case experimental designs (SCEDs). Although they are popular analytical methods for SCEDs, they have certain limitations. In this study, a new effect size calculation model for SCEDs, named performance criteria-based effect size (PCES), is proposed…
Descriptors: Evaluation Criteria, Effect Size, Research Design, Data Analysis
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Peltier, Corey; Muharib, Reem; Haas, April; Dowdy, Art – Journal of Autism and Developmental Disorders, 2022
In single-case research designs (SCDs) to determine a functional relation a time-series graph is constructed. Preliminary evidence suggest the approach used to scale the vertical axis and the data points per x- to y-axis ratio (DPPXYR) impact visual analysts' decisions. We conducted a systematic review to evaluate time-series graphs published in…
Descriptors: Research Design, Graphs, Scaling, Error Patterns
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Bennett, Evan N.; Page, Shallee T. – Biochemistry and Molecular Biology Education, 2022
The ability to analyze large data sets ("Big Data") is an increasingly important skill in modern science. In Biochemistry, the increased volume and velocity of data is particularly evident in the rapid expansion of biological databases. We present a modular bioinformatics course to survey the analysis of genomic data for advanced…
Descriptors: Undergraduate Students, Data Analysis, Biochemistry, Research Methodology
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