NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing all 14 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Stanislav Pozdniakov; Roberto Martinez-Maldonado; Yi-Shan Tsai; Vanessa Echeverria; Zachari Swiecki; Dragan Gaševic – Journal of Learning Analytics, 2025
Recent research on learning analytics dashboards has focused on designing user interfaces that offer various forms of "visualization guidance" (often referring to notions such as "data storytelling" or "narrative visualization") to teachers (e.g., emphasizing data points or trends with colour and adding annotations),…
Descriptors: Visual Aids, Learning Analytics, Technological Literacy, Pedagogical Content Knowledge
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Zhang, Xinxin – Regional Educational Laboratory Northeast & Islands, 2021
This applied research methods report is a guide for state and local education agency policymakers and their analysts who are interested in studying teacher mobility and retention. This report is the second in a two-part set and builds on the foundational information in report 1. This report presents guidance on how to interpret differences in…
Descriptors: Faculty Mobility, Teacher Persistence, Educational Research, Research Methodology
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Kim, Eun Mi; Oláh, Leslie Nabors; Peters, Stephanie – ETS Research Report Series, 2020
K-12 students are expected to acquire competence in data display as part of developing statistical literacy. To support research, assessment design, and instruction, we developed a hypothesized learning progression (LP) using existing empirical literature in the fields of mathematics and statistics education. The data display LP posits a…
Descriptors: Mathematics Education, Statistics Education, Teaching Methods, Data Analysis
Singer, Judith D., Ed.; Braun, Henry I., Ed.; Chudowsky, Naomi, Ed. – National Academy of Education, 2018
Results from international large-scale assessments (ILSAs) garner considerable attention in the media, academia, and among policy makers. Although there is widespread recognition that ILSAs can provide useful information, there is debate about what types of comparisons are the most meaningful and what could be done to assure more sound…
Descriptors: International Education, Educational Assessment, Educational Policy, Data Interpretation
Peer reviewed Peer reviewed
Direct linkDirect link
Duncan, Bruce; Fitzallen, Noleine – Australian Mathematics Teacher, 2013
The learning sequence described in this article was developed to provide students with a demonstration of the development of box plots from authentic data as an illustration of the advantages gained from using multiple forms of data representation. The sequence follows an authentic process that starts with a problem to which data representations…
Descriptors: Data Analysis, Data, Teaching Methods, Comparative Analysis
Hunt, E. Stephen – 1993
The International Standard Classification of Education (ISCED) was developed by the United Nations Educational, Scientific, and Cultural Organization in the 1960s and 1970s to be the recognized international standard for reporting and interpreting education program data. Creating a U.S. crosswalk to this system has been a goal of research…
Descriptors: Academic Standards, Classification, Comparative Analysis, Data Interpretation
Peer reviewed Peer reviewed
Lewit, Eugene M.; Baker, Linda Schuurmann – Future of Children, 1996
Examines data collected by the federal Office of Special Education Programs (OSEP) on the identification and classification of special education students. Analysis suggests that the OSEP count data, by themselves, do not indicate how many children have disabilities or what types of disabilities they have, and the data cannot by used to evaluate…
Descriptors: Classification, Comparative Analysis, Data Interpretation, Disability Identification
Danzig, Arnold B. – 1990
The usefulness of state-by-state comparisons and other educational indicators is discussed in this paper, which seeks to improve report writing and data presentation skills. The first part offers an example of a policy report that uses key education indicators to describe the Arizona education system. Tables and data interpretation describe the…
Descriptors: Comparative Analysis, Data Analysis, Data Interpretation, Educational Indicators
Peer reviewed Peer reviewed
Duncan, Greg J. – American Journal of Education, 1994
Estimates effects of neighbor and family characteristics on likelihood students will complete their schooling using national-level data from Panel Study of Income Dynamics. Data indicate racial composition of a neighborhood affects black but not white children. Family-level characteristics such as maternal education and family income were…
Descriptors: Academic Achievement, Adolescents, Blacks, Comparative Analysis
Peer reviewed Peer reviewed
Holder, Harriett B.; Kirkpatrick, Sue W. – Journal of Learning Disabilities, 1991
The time required for 96 children (ages 8-15) with and without learning disabilities to interpret emotions based on from facial expressions, and the accuracy of those interpretations, were investigated. Children with learning disabilities were less accurate and spent more time identifying specific emotions. Both age and sex influenced response…
Descriptors: Age Differences, Comparative Analysis, Data Interpretation, Elementary Secondary Education
Redd, Kenneth; Riddle, Wayne C. – 1988
While there are severe limitations on the availability, comparability, and reliability of education statistics for the United States and other major foreign nations, a comparison of data reveals that the relative ranking of the United States among other nations with respect to educational participation in general is high, but that it is low in…
Descriptors: Academic Achievement, Achievement Rating, Comparative Analysis, Data Interpretation
Grover, Burton L.; Post, Richard L. – 1984
The Arlington, Washington, School District--a mostly rural district with enrollment of 2,790--conducted a survey of its public using both blanket mailing and random sampling procedures in order to compare the views of the total population with the views of the typically small percentage who mail back a questionnaire. The questionnaire contained 29…
Descriptors: Community Attitudes, Community Surveys, Comparative Analysis, Data Interpretation
National Education Association, Washington, DC. – 1999
The data presented in this National Education Association report provide facts about public educational resources committed by local, state, and national governments for state and local affiliates, researchers, policymakers, and the public as a tool to examine public education services. Regardless of state-by-state variations, improvements in…
Descriptors: Academic Achievement, Budgeting, Comparative Analysis, Compensation (Remuneration)
Organisation for Economic Cooperation and Development, Paris (France). – 2000
This Organisation for Economic Cooperation and Development report documents the growing demand for learning around the world. A quantitative description of the functioning of education systems allows for international comparisons and the identification of the strengths and weaknesses of various approaches to providing quality education. Chapter 1,…
Descriptors: Access to Education, Comparative Analysis, Cross Cultural Studies, Data Analysis