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Chapter 2. Progress towards the EFA goals - Unesco

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PROGRESS TOWARDS THE <strong>EFA</strong> GOALS<br />

The quality of education<br />

between indigenous and non-indigenous students<br />

were explained by <strong>the</strong> poor quality of schools<br />

serving indigenous students (McEwan, 2004).<br />

These findings demonstrate that improving school<br />

quality and narrowing differences among schools<br />

will reduce inequality in student performance. In <strong>the</strong><br />

mid-1990s, Brazil created <strong>the</strong> Fundo de Manutenção<br />

e Desenvolvimento do Ensino Fundamental e de<br />

Valorização do Magistério (FUNDEF), a fund to<br />

finance subnational spending on primary and lower<br />

secondary education to ensure a more equitable<br />

distribution of per-student spending across <strong>the</strong><br />

country. Preliminary evidence suggests that this<br />

redistributive policy has narrowed learning<br />

inequalities, though only by a small amount (Gordon<br />

and Vegas, 2005). In o<strong>the</strong>r countries, per-student<br />

funding formulas have been introduced to ensure<br />

that resources are more equitably distributed<br />

across regions and population groups.<br />

Box <strong>2.</strong>23: Improving equity in Poland<br />

In 1999, Poland started providing an additional year of general<br />

education before students were split into upper secondary school<br />

tracks. By using three rounds of PISA it is possible to assess <strong>the</strong><br />

reform’s impact on equity:<br />

From 2000 to 2003, average variation in student performance<br />

in science fell from 51% of <strong>the</strong> OECD average to 15%. By 2006,<br />

Poland had one of <strong>the</strong> lowest levels of variation in science<br />

performance among participating countries (Figure <strong>2.</strong>41).<br />

Improvement in equity came about at <strong>the</strong> same time as general<br />

improvement in performance. For example, average reading<br />

performance of 15-year-olds increased by twenty-nine score<br />

points between 2000 and 2006.<br />

Most of <strong>the</strong> improvement occurred among students with poor<br />

performance. From 2000 to 2006, <strong>the</strong> proportion of students<br />

failing to score above level 1 in reading competency fell from<br />

23% to 16%.<br />

Students in <strong>the</strong> vocational track appear to have benefited<br />

most from greater integration of <strong>the</strong> system.<br />

School-based disparities do not operate in isolation.<br />

In many cases <strong>the</strong>y interact with and reinforce<br />

wider disadvantage. Parental income and education,<br />

home language and o<strong>the</strong>r factors are all strongly<br />

associated with learning achievement levels, as<br />

<strong>the</strong> following cases demonstrate:<br />

In Pakistan, children from families in <strong>the</strong> richest<br />

third of <strong>the</strong> population scored on average<br />

between 0.25 and 0.5 of a standard deviation<br />

higher than children from <strong>the</strong> poorest households<br />

(Das et al., 2006).<br />

In Peru, in national assessments of ma<strong>the</strong>matics<br />

conducted in 2004, sixth grade pupils whose<br />

mo<strong>the</strong>r tongue was Spanish scored more than<br />

one standard deviation higher than children<br />

whose mo<strong>the</strong>r tongue was an indigenous<br />

language (Cueto et al., 2009).<br />

Fifth grade students from Cameroon’s Bamileke<br />

language group scored 48% on <strong>the</strong> PASEC<br />

literacy test, compared with 56% for students<br />

from <strong>the</strong> Ewondo language group (Fehrler and<br />

Michaelowa, 2009).<br />

In <strong>the</strong> 2006 SERCE assessments in Latin America<br />

and <strong>the</strong> Caribbean, students who undertook a<br />

significant amount of work, inside and outside<br />

<strong>the</strong> home, had lower levels of ma<strong>the</strong>matics<br />

achievement on average. For example, in<br />

El Salvador, sixth graders who worked had<br />

average scores 6% lower than those of children<br />

who did not (Bonnet, 2009).<br />

Source: OECD (2007b).<br />

A longitudinal study in Ethiopia found that 42%<br />

of 12-year-olds who had lost <strong>the</strong>ir mo<strong>the</strong>rs<br />

between ages 8 and 12 were unable to read,<br />

while for children with both parents living <strong>the</strong><br />

figure was 23% (Himaz, 2009). The study<br />

attributed <strong>the</strong> difference to lower school<br />

enrolment among orphans, as well as poorer<br />

performance in school.<br />

In countries with more equitable systems,<br />

children’s backgrounds are less important in<br />

determining levels of achievement. In countries<br />

where <strong>the</strong>re is a strong relationship between<br />

student background and performance, or where<br />

large differences in student background exist,<br />

reducing differences in school quality is unlikely<br />

to be enough to improve equity significantly.<br />

Targeted programmes to improve learning among<br />

children who are being left behind will also be<br />

needed (see <strong>Chapter</strong> 3). In Mexico, <strong>the</strong> Consejo<br />

Nacional de Fomento Educativo (CONAFE) provides<br />

supplemental funds, learning materials – including<br />

textbooks in indigenous languages – and teacher<br />

support to schools in areas marked by consistent<br />

underperformance and disadvantage. Evaluations<br />

indicate that <strong>the</strong>se efforts have narrowed <strong>the</strong> gap<br />

in primary school ma<strong>the</strong>matics scores, though<br />

<strong>the</strong>y have had little impact on Spanish scores<br />

(Vegas and Petrow, 2008).<br />

School-based<br />

disparities interact<br />

with student<br />

background and<br />

socio-economic<br />

status<br />

111

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