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10<br />

Multiple factors influence the time students spend<br />

learning in early grades. In Ethiopia, Guatemala,<br />

Honduras, Mozambique <strong>and</strong> Nepal, after combining time<br />

losses due to schools being closed, teachers being absent<br />

<strong>and</strong> students being either absent or, especially, off task,<br />

schools used less than 50% of the available time for<br />

instruction (Moore et al., 2012).<br />

Other factors further reducing time on task include teacher<br />

strikes, late student registration, lack of supplies at the<br />

start of term or schools closing earlier than planned. Taking<br />

these into account, primary school students in Senegal<br />

were on task during 388 of the 1,090 intended annual<br />

instructional hours, or 36% of the time (Niang, 2015).<br />

In Bauchi <strong>and</strong> Sokoto states, Nigeria, only one-quarter of<br />

grade 2 time is allocated to teaching, partly because what<br />

is supposed to be a 45-minute literacy lesson is actually<br />

much shorter, <strong>and</strong> because only half the teachers in the<br />

classrooms are teaching literacy skills during the lesson<br />

time (RTI International, 2016b) (Figure 10.8).<br />

Classroom observations do not just record time<br />

allocation. They can also record teaching practices – <strong>and</strong><br />

commonly show that teacher–student <strong>and</strong> student–<br />

student interactions are limited. In Cambodia, a tiny part<br />

of mathematics class time in lower secondary schools<br />

was spent doing applied individual or group work. There<br />

were limited opportunities for interaction or creative<br />

FIGURE 10.8:<br />

In northern Nigeria, only one-quarter of time is used for instruction<br />

Allocation of grade 2 Hausa lesson time, Bauchi <strong>and</strong> Sokoto states, Nigeria, 2014<br />

Teachers (%)<br />

100<br />

80<br />

60<br />

40<br />

20<br />

0<br />

3 6 9 12 15 18 21 24 27 30 33 36 39 42 45<br />

Source: RTI International (2016b).<br />

Minute of lesson<br />

No activity<br />

Other<br />

Literacy<br />

instruction<br />

thinking. About 61% of class time was spent receiving<br />

various forms of instruction, of which one-third involved<br />

copying; <strong>and</strong> another one-fifth of the time was spent<br />

on recitation, mostly involving students responding to<br />

teacher queries (Benveniste et al., 2008).<br />

In Ug<strong>and</strong>a, a study of 742 lower secondary school<br />

classrooms showed teachers struggling to make<br />

connections to students’ everyday life experiences<br />

<strong>and</strong> unlikely to provide specific feedback (Seidman et<br />

al., 2015). In Ethiopia, a study of 776 primary school<br />

mathematics classes assessed implementation of<br />

government policy to shift away from teacher-oriented<br />

learning methods. The target was 30% of class time spent<br />

on student-centred activity, but only 11% was reached,<br />

compared with 74% on teacher-oriented activities <strong>and</strong><br />

15% off task (Frost <strong>and</strong> Little, 2014).<br />

Classroom observation tools expect observers to use<br />

varying levels of subjective judgement. Low inference<br />

tools gather information on environments, time use<br />

<strong>and</strong> interactions between the teacher <strong>and</strong> students<br />

without drawing immediate conclusions. They focus<br />

on directly observable actions that are easy to code<br />

using checklists. Tools are administered by experts for<br />

research, monitoring <strong>and</strong> evaluation purposes <strong>and</strong> by<br />

district supervisors or instructional coaches to provide<br />

feedback to teachers as part of a support mechanism<br />

(RTI International, 2016a).<br />

High inference tools are more informal <strong>and</strong> open-ended.<br />

Observers must use their own judgement about what<br />

happens in the classroom <strong>and</strong> code teacher practices<br />

<strong>and</strong> student behaviour with more nuance. While these<br />

tools provide more insights, they are costly because<br />

they require extensive training to ensure reliability<br />

<strong>and</strong> consistency.<br />

Whether classroom observation tools can be used for<br />

comparing classroom instruction across countries is<br />

debatable. Classroom behaviour depends on systemlevel<br />

factors, such as government education policies,<br />

<strong>and</strong> differences in the home, such as household living<br />

conditions. In addition, classroom practices vary according<br />

to cultural beliefs <strong>and</strong> expectations. No single tool can<br />

meet the needs of all countries (Jukes et al., 2006).<br />

Yet, despite these limitations, the studies reviewed here<br />

often agree on what inhibits learning in classrooms<br />

around the world. The availability of broadly consistent<br />

monitoring tools can bring critical issues of pedagogy<br />

192<br />

CHAPTER 10 | TARGET 4.1 – PRIMARY AND SECONDARY EDUCATION

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