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Australian Council for Educational Research, 2015
Monitoring Trends in Educational Growth (MTEG) offers a flexible, collaborative approach to developing and implementing an assessment of learning outcomes that yields high-quality, nationally relevant data. MTEG is a service that involves ACER staff working closely with each country to develop an assessment program that meets the country's…
Descriptors: Educational Development, Educational Trends, Progress Monitoring, Educational Quality
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
Allan, Audrone; Pileicikiene, Nora – Quality of Higher Education, 2010
This article aims to reveal possibilities for teaching quality assessment when data from student survey are used. To achieve this aim, the conception of teaching in a higher education institution was reviewed and criteria of teaching quality were distinguished in the theoretical part. In the empirical part of the research, validity of teaching…
Descriptors: Student Surveys, Data Interpretation, Questionnaires, Data Analysis
Morrisson, Christian; Murtin, Fabrice – Centre for the Economics of Education (NJ1), 2009
Global economic transformations have never been as dramatic as in the twentieth century. Most countries have experienced radical changes in the standards of income per capita, technology, fertility, mortality, income inequality and the extent of democracy in the course of the past century. It is the goal of many disciplines--economics, history,…
Descriptors: Economic Development, Educational Attainment, Demography, Global Approach
Yeagley, Raymond – School Administrator, 2007
This article discusses Rochester's two academic models that offer different tools for different purposes--measuring individual learning and measuring what affects learning. The main focus of currently available growth measures is formative assessment--providing data to inform instructional planning. Value-added assessment is not a student…
Descriptors: Instructional Development, Data Analysis, Data Interpretation, Educational Indicators
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
Reder, Nancy – National Post-School Outcomes Center, 2006
The purpose of this document is to give state directors of special education, especially those who are new in their positions, a guide to understanding their role and responsibilities with respect to the collection, analysis and reporting of post-school outcomes data for Indicator 14 of the Part B State Performance Plan (SPP). To assist state…
Descriptors: Elementary Secondary Education, Educational Objectives, Outcomes of Education, Disabilities