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Framework for Education Indicators

New Initiatives and Challenges UIS Education Statistics Programme Douglas Lynd, Senior Programme Coordinator. Framework for Education Indicators. Outputs/ Outcomes tcomes Impact of learning. Policy levers that shape outcomes. Antecedents that constrain policy. Country/system level.

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Framework for Education Indicators

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  1. New Initiatives and Challenges UIS Education Statistics ProgrammeDouglas Lynd, Senior Programme Coordinator

  2. Framework for Education Indicators Outputs/ Outcomestcomes Impact of learning Policy levers that shape outcomes Antecedents that constrain policy Country/system level Overall quality: system performance System-wide policies: resource allocation; types of schools; organization National context: educational; social; economic Education service provider Institutional performance and quality of instruction Learning environment at school Community and school characteristics Instructional setting Teaching and learning practices Teacher background characteristics Individual learner Distribution of knowledge and skills Students: motivation, attitudes, behaviour Student background characteristics

  3. Framework for Education Indicators Literacy Assessment and Monitoring Programme

  4. Framework for Education Indicators WEI - Survey of Primary Schools

  5. Framework for Education Indicators Improving Data & Indicators SCB Indicator development

  6. Literacy Assessment and Monitoring Programme (LAMP)

  7. LAMP Objectives • To develop survey instruments and a survey methodology that will measure the literacy levels of adults in developing countries… ….that will be readily adaptable in national contexts ….that will be reasonably inexpensive to administer ….that will provide cross-nationally comparable data as well as local, sub-national and national data for developing evidence-based policies re: the development and delivery of literacy programmes

  8. Why is LAMP needed? • Because literacy is essential to human and economic development… • …literacy is at the top of the development agenda (EFA, MDGs, HDI)… • …and we need to know how literacy is distributed in order to take actions… • …yet existing measures of literacy are inadequate.

  9. Quality of current literacy data • Lack of comparability • A wide range of definitions and measurements • Self-declaration; education attainment as a proxy • Some dubious data • Gaps in the data: • Intercensal years • No census, or no literacy question in the census • 1 in 5 countries that have no data since 1975 • Not always broken down by age group

  10. LAMP Challenges • Defining literacies to be measured: reading; numeracy; oral comprehension; other • In what languages? • Measurement of the lowest literacy levels • Adapting items to cultural context • Operations: length of interviews; willingness to respond or let respond; etc. • Ownership of the data • Availability and quality of population data

  11. LAMP status • Developing conceptual/analytical framework • Developing test instruments and survey methodology • Selecting pilot countries • Preparing training materials • Pilot testing Nov. 2003 – Nov. 2004

  12. World Education Indicators (WEI)Survey of Primary Schools

  13. World Education Indicators (WEI) • Project start - 1997 • Objective – set of policy relevant education indicators • Composition • Argentina, Brazil, Chile, Jamaica, Paraguay, Peru, Uruguay • Egypt, Jordan, Russia, Tunisia, Zimbabwe • China, India, Indonesia, Malaysia, Philippines, Sri Lanka, Thailand

  14. Accomplishments • 5 annual data collections • Supplementary surveys • E.g. Decision-making, Teaching conditions, Hours of instruction • Special Projects • Finance comparability study • Outputs • Recent publications: • Teachers for Tomorrow’s Schools; • Financing Education – Investments and Returns

  15. Survey of Primary Schools (WEI-SPS) • Objective • to obtain cross-national information from teachers and administrators on the functioning of schools, including teaching and learning processes, in order to satisfy information needs related to equity and quality issues in education. • Schedule • 2003 – develop content and methodology • 2004 – conduct survey, analyze results

  16. WEI-SPS • OECD/UIS leading developmental work with World Bank support • Steering Committee • Country participation in planning • Voluntary participation for conducting the survey • National modules allowed with approval process

  17. WEI-SPS Parameters • Survey Frame: • primary schools with grade 4 • Respondents: • head teacher/principal • grade 4 teachers • Proposed methodology • Drop-off, pick-up

  18. WEI-SPS Status • Questionnaire content: • June 2003 – priority rating of analytical framework • Sept 2003 – First draft of questionnaires • Oct 2003 – Final questionnaire and country adaptation; national modules for approval • Jan-June 2004 – Survey implementation • Sampling methodology • Disproportionate stratified sample of schools (5 strata) • May 2003 – distribution of schools by strata • July 2003 – subdivisions for analysis, over-sampling plans, sample size

  19. Improving Education Data and Indicators

  20. Challenges • Data quality • Relevance • Coverage of programmes • Coverage of topics • Accuracy • Coherence • Timeliness • Use

  21. Statistical Capacity Building: Our aim is to move countries up to the next level towards better data … SELF-SUSTAINING Stable information system, good links between users and producers of data, responsive to relevant policy issues, but the demands are more complex. Internatl comparisons used widely INTERMEDIATE Basic data channels in place; some commitment to data use; data fragmented across ministries; coverage and relevance; regional comparisons BASIC Lacking statistical infrastructure; Little government commitment and use of data; less need for internatl. comparable data

  22. Statistical Capacity Building • Technical assistance • Data management • Data interpretation and dissemination • Data plans • ISCED mapping • Cross-national benchmarking and assessment

  23. Interpreting Integrating National Policy International Policy Data needs Analyses Data needs Analyses Int’l Standards Data plans Collection Processing Collection Processing

  24. Indicator development • Primary completion rates • Data collection • Bilateral review • Analytical review • Teacher data • Assessment of current data to improve cross-national comparability • Additional data for supply projections

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