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11<br />

comparable across countries <strong>and</strong> various types of service<br />

provision (Ishimine <strong>and</strong> Tayler, 2014). Many measures<br />

have yet to be fully validated in all countries.<br />

The most widely<br />

used tool, the<br />

There are different tools<br />

Early Childhood<br />

for measuring early<br />

Environment Rating<br />

childhood education Scale (ECERS),<br />

was developed at<br />

quality, which tend to<br />

the University of<br />

involve class observation, North Carolina in<br />

documentation <strong>and</strong> 1980 <strong>and</strong> revised<br />

in 1998 (ECERS-R)<br />

interviews<br />

<strong>and</strong> 2015 (ECERS3).<br />

Variants of it focus<br />

on infants/toddlers,<br />

family child care <strong>and</strong> school age care. As part of a<br />

3-hour visit, the tool uses 43 items to measure process<br />

<strong>and</strong> structure aspects of quality in 7 key areas: space<br />

<strong>and</strong> furnishings; personal care routines; language <strong>and</strong><br />

reasoning; activities; interaction; programme structure;<br />

<strong>and</strong> parents <strong>and</strong> staff. In the latest revision, the ‘parents<br />

<strong>and</strong> staff’ subscale, which relied on self-reporting, has<br />

been dropped (Harms et al., 2015).<br />

ECERS-R forms the core of formal, observation-based<br />

quality assurance systems in much of the United States<br />

<strong>and</strong> has been translated <strong>and</strong> adapted for countries<br />

including Germany <strong>and</strong> Italy. Researchers in Bahrain<br />

(Hadeed, 2014), Bangladesh (Aboud, 2004), Brazil<br />

(Campos et al., 2011) <strong>and</strong> Cambodia (Rao <strong>and</strong> Pearson,<br />

2007), <strong>and</strong> in the Caribbean (Lambert et al., 2008),<br />

have also used this tool. However, while it tries to be<br />

comprehensive, ECERS-R only uses a selected set of<br />

questions for each domain.<br />

The Classroom Assessment Scoring System (CLASS),<br />

developed at the University of Virginia in 2008, focuses<br />

instead on just one domain, teacher-child interactions<br />

(Hamre et al., 2007). It relies on 4 cycles of 15-minute<br />

observations of teacher <strong>and</strong> child interactions, evaluating<br />

the degree of instructional <strong>and</strong> socio-emotional support<br />

<strong>and</strong> overall classroom organization.<br />

CLASS was validated in the United States but has also<br />

been applied in research <strong>and</strong> policy-oriented studies in<br />

Europe (e.g. Finl<strong>and</strong>, Pakarinen et al., 2010), Latin America<br />

(e.g. Ecuador, Araujo et al., 2015) <strong>and</strong> sub-Saharan Africa<br />

(e.g. United Republic of Tanzania, Shavega et al., 2014).<br />

Neither ECERS-R nor CLASS was originally developed<br />

for international use. By contrast, the Global Guidelines<br />

Assessment (GGA) of the Association for Childhood<br />

Education International, developed in collaboration with<br />

the US national committee of the World Organization for<br />

Early Childhood, set out to measure progress on the 2002<br />

Global Guidelines for Early Childhood Education <strong>and</strong> Care in<br />

the 21st Century (Barbour et al., 2004). The GGA is divided<br />

into five areas: environment <strong>and</strong> physical space; curriculum<br />

content <strong>and</strong> pedagogy; early childhood educators <strong>and</strong><br />

caregivers; partnership with families <strong>and</strong> communities;<br />

<strong>and</strong> young children with special needs. It has been used<br />

in East Asia (e.g. the Republic of Korea, Wortham, 2012),<br />

Europe (e.g. Greece, Rentzou, 2010) <strong>and</strong> Latin America<br />

(e.g. Guatemala, Hardin et al., 2008). However, it has not<br />

been validated in relation to child outcomes.<br />

Overall, several studies, mostly using ECERS-R, find<br />

positive associations between programme quality <strong>and</strong><br />

measures of child development linked to pre-academic<br />

cognitive skills or social-behavioural development<br />

(Burchinal et al., 2008; Sylva et al., 2006). But the size<br />

of the effects tends to be small (Sabol <strong>and</strong> Pianta, 2014;<br />

Gordon et al., 2015).<br />

The use of such tools is a helpful prompt for debating<br />

quality in target 4.2. It helps decision-makers address<br />

priorities, e.g. in China, where views are divided on the<br />

relative merits of whole classroom vs child-centred learning<br />

(Li et al., 2014; Hu, 2015). It also points out differences in<br />

quality between facilities or types of programmes within<br />

countries – e.g. in rural Indonesia, where differences in<br />

quality were shown between various types of provision<br />

(Brinkman et al., 2016) – <strong>and</strong> identify significant<br />

differences between countries (e.g. Vermeer et al., 2016).<br />

Countries <strong>and</strong> the international community should<br />

consider using such tools to monitor the quality of early<br />

childhood education provision more systematically.<br />

The process of consensus building should begin with<br />

countries setting their own goals <strong>and</strong> st<strong>and</strong>ards – <strong>and</strong><br />

using a mechanism to monitor them. They should use<br />

<strong>and</strong> adapt the tools that are most applicable to their<br />

context <strong>and</strong> that give useful feedback to educators for<br />

professional development (UNICEF, 2012a).<br />

MEASURING QUALITY OF SYSTEMS<br />

At the system level, a variety of tools have been<br />

developed. The World Bank Systems Approach for<br />

Better Education Results (SABER) has published<br />

212<br />

CHAPTER 11 | TARGET 4.2 – EARLY CHILDHOOD

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