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What Works Clearinghouse Rating
Katie Fitzgerald; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2021
Background: As the body of scientific evidence about what works in education grows, so does the need to effectively communicate that evidence to policy-makers and practitioners. Websites and clearinghouses such as the "What Works Clearinghouse" (WWC), "Evidence for ESSA," "Blueprints for Healthy Youth Development,"…
Descriptors: Effect Size, Graphs, Meta Analysis, Data Collection
Kubina, Richard M., Jr.; Kostewicz, Douglas E.; King, Seth A.; Brennan, Kaitlyn M.; Wertalik, Jennifer; Rizzo, Karen; Markelz, Andy – Education and Treatment of Children, 2021
Much of the special education literature features single-case experimental designs, which traditionally require researchers to determine functional relations among variables through the visual analyses of line graphs. Evidence suggests factors aside from the data influence visual analysis, including line graph construction. Fields including…
Descriptors: Graphs, Special Education, Educational Research, Standards
Yi Feng; Peter M. Steiner – Society for Research on Educational Effectiveness, 2022
Research Context: In educational research, "context effects" are often of inferential interest to researchers as well as of evaluative interest to policymakers. While student education outcomes likely depend on individual-level influences like individual academic achievement, school contexts may also make a difference. Such questions are…
Descriptors: Hierarchical Linear Modeling, Accuracy, Graphs, Educational Research
Aguilar, Stephen J. – Journal of Research on Technology in Education, 2018
This qualitative study focuses on capturing students' understanding two visualizations often utilized by learning analytics-based educational technologies: bar graphs, and line graphs. It is framed by Achievement Goal Theory--a prominent theory of students' academic motivation--and utilizes interviews (n = 60) to investigate how students at risk…
Descriptors: Comparative Analysis, Visualization, At Risk Students, College Students
Chopra, Shivangi; Golab, Lukasz; Pretti, T. Judene; Toulis, Andrew – International Journal of Work-Integrated Learning, 2018
This paper describes two classes of advanced data mining methods that can obtain actionable insight from cooperative education data: text mining of job descriptions and graph mining of job interview data. While these methods are not new in general, they have not been widely used in co-operative education research. A technical overview of each…
Descriptors: Information Retrieval, Data Analysis, Research Methodology, Educational Research
ALSaad, Fareedah; Boughoula, Assma; Geigle, Chase; Sundaram, Hari; Zhai, ChengXiang – International Educational Data Mining Society, 2018
This paper addresses the question of identifying a concept dependency graph for a MOOC through unsupervised analysis of lecture transcripts. The problem is important: extracting a concept graph is the first step in helping students with varying preparation to understand course material. The problem is challenging: instructors are unaware of the…
Descriptors: Data Collection, Educational Research, Online Courses, Large Group Instruction
Ifenthaler, Dirk; Gibson, David; Dobozy, Eva – Australasian Journal of Educational Technology, 2018
Learning design has traditionally been thought of as an activity occurring prior to the presentation of a learning experience or a description of that activity. With the advent of near real-time data and new opportunities of representing the decisions and actions of learners in digital learning environments, learning designers can now apply…
Descriptors: Instructional Design, Intervention, Electronic Learning, Case Studies
Kelly, Nick; Thompson, Kate; Yeoman, Pippa – Journal of Learning Analytics, 2015
This paper describes theory-led design as a way of developing novel tools for learning analytics (LA). It focuses upon the domain of automated discourse analysis (ADA) of group learning activities to help an instructor to orchestrate online groups in real-time. The paper outlines the literature on the development of LA tools within the domain of…
Descriptors: Data Analysis, Data Collection, Computer Assisted Instruction, Cooperative Learning
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Francis, Krista; Jacobsen, Michele; Friesen, Sharon – Journal of Information Technology Education: Research, 2014
Visuals and graphics have been used for communicating complex ideas since 1786 when William Playfair first invented the line graph and bar chart. Graphs and charts are useful for interpretation and making sense of data. For instance, John Snow's scatter plot helped pinpoint the source of a cholera outbreak in London in 1854 and also changed…
Descriptors: Graphs, Charts, Longitudinal Studies, Statistical Data
Phelps, James L. – Educational Considerations, 2011
One of the most influential studies affecting educational policy is Glass and Smith's 1978 study, "Meta-Analysis of Research on the Relationship of Class-Size and Achievement." Since its publication, educational policymakers have referenced it frequently as the justification for reducing class size. While teachers and the public had long believed…
Descriptors: Class Size, Educational Research, Meta Analysis, Academic Achievement
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Lefebre, Elizabeth; Fabrizio, Michael; Merbitz, Charles – Journal of Precision Teaching and Celeration, 2008
Although behavior analysis relies primarily on visual inspection for interpreting data, previous research shows that the method of display can influence the judgments. In the current study, 26 Board-Certified Behavior Analysts reviewed two data sets displayed on each of three methods--equal-interval graphs, tables, and Standard Celeration…
Descriptors: Educational Research, Data Interpretation, Efficiency, Comparative Analysis
Jay, Tim – International Journal of Research & Method in Education, 2012
Verbal reports are a common method of data collection in studies of mathematics learning, often in studies with a longitudinal component or those employing microgenetic methods where several observations of problem-solving are made over a short period of time. Whilst there is a fairly substantial literature on reactivity to verbal reports,…
Descriptors: Mathematics Education, Learning Strategies, Data Collection, Longitudinal Studies
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis

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