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Jennings, Austin S. – Educational Assessment, 2022
The extent to which teachers collect, interpret, and use information from multiple data sources is a key distinction between novice and expert data users. Understanding and exploring this dimension of teachers' instructional decision making requires a shift in contemporary perspectives toward the interconnectedness of data sources within teachers'…
Descriptors: Educational Practices, Information Utilization, Data Collection, Data Interpretation
Makela, Carole J. – Journal of Family and Consumer Sciences, 2016
"Big data" prompts a whole lexicon of terms--data flow; analytics; data mining; data science; smart you name it (cars, houses, cities, wearables, etc.); algorithms; learning analytics; predictive analytics; data aggregation; data dashboards; digital tracks; and big data brokers. New terms are being coined frequently. Are we paying…
Descriptors: Data Analysis, Information Utilization, Data Collection, Consumer Science
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Rankin, Jenny Grant – Universal Journal of Educational Research, 2016
Most data-informed decision-making in education is undermined by flawed interpretations. Educator-driven interventions to improve data use are beneficial but not omnipotent, as data misunderstandings persist at schools and school districts commended for ideal data use support. Meanwhile, most data systems and reports display figures without…
Descriptors: Evidence Based Practice, Data Interpretation, Information Utilization, Standards
Rienties, Bart; Cross, Simon; Marsh, Vicky; Ullmann, Thomas – Open Learning, 2017
Most distance learning institutions collect vast amounts of learning data. Making sense of this 'Big Data' can be a challenge, in particular when data are stored at different data warehouses and require advanced statistical skills to interpret complex patterns of data. As a leading institute on learning analytics, the Open University UK instigated…
Descriptors: Foreign Countries, Distance Education, Data Collection, Data Interpretation
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
Data Quality Campaign, 2011
This document presents an interactive visual guide that explains what data are, how they help, and what people can do with them. It also offers ways to enact statewide policies that support effective data use.
Descriptors: Academic Achievement, Educational Improvement, Student Improvement, Educational Innovation
Carey, Kevin – Education Sector, 2012
For years California has been a leader in public education. In 1999, the state implemented some of the strongest content standards in the country through its main accountability metric, the Academic Performance Index (API). The state has also signed onto the Common Core State Standards, taking important steps to ensure its students are college-…
Descriptors: State Standards, Standardized Tests, Academic Achievement, Educational Quality
Young, Anne; McConkey, Kevin; Kirby, Mark – Journal of Institutional Research, 2011
Student feedback surveys are an important component of the continuous improvement cycle at the University of Newcastle. This article describes a recently adopted holistic approach to collecting, analysing, reporting and acting on student feedback on courses (units of study), programs (collection of courses leading to an award) and the student…
Descriptors: Student Surveys, Feedback (Response), Holistic Approach, Course Evaluation
Data Quality Campaign, 2011
Faced with the need to create a competitive workforce and improve the quality of our education system, states are pursuing policy agendas to better prepare students for postsecondary education and careers. To inform these agendas, statewide longitudinal data systems (SLDSs) have become an invaluable asset and serve as a tool to help states answer…
Descriptors: Stakeholders, Educational Change, Information Utilization, Information Management
Popham, W. James – Educational Leadership, 2009
Despite repeated calls for educators to get more instructional mileage out of the assessment data they have at hand, two deterrents typically stand in the way of most educators' effective use of test data. First, there's a missing "realization", and second, there's a missing "skill". Educators who possess both this realization and this skill will…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Student Evaluation
DeLuca, V. William; Lari, Nasim – Journal of Technology Education, 2011
The purpose of this study was to determine the impact of using renewable energy data, obtained from a comprehensive data acquisition system, on improving students' learning and developing their higher-order learning skills. This study used renewable energy data available through a data acquisition system installed and tested by the Green Research…
Descriptors: Curriculum Development, Social Problems, Energy Conservation, Energy
Kanstoroom, Marci, Ed.; Osberg, Eric C., Ed. – Thomas B. Fordham Institute, 2008
America brims with education data and these days it seems everyone in education claims to be guided by data. In this book, leaders and scholars map the landscape of data providers and users and explores why what is supplied by the former but frequently fails to meet the needs of the latter. It documents the barriers to collecting good information,…
Descriptors: Education, Data, Data Analysis, Data Collection

Lilley, Stephen – 1982
This publication provides program planners and others with information and analytical tools for using demographic data in program planning, implementation, and evaluation. The report reviews the importance of demographic data and their relevance to programs and proper implementation of laws, discusses the collection of demographic information by…
Descriptors: Data Collection, Data Interpretation, Demography, Information Utilization
Busch, Deborah – 1999
This report examines how Juvenile Detention Alternatives Initiative (JDAI) sites used data to plan reforms and assess reform success, noting where and how they gathered data. Chapter 1, "The Need for Data," discusses: assessing data utilization, using data to enhance communication, and using this report to support reform. Chapter 2,…
Descriptors: Adolescents, Computers, Data Collection, Data Interpretation
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