Linguistic differences in Mother Tongue Reading

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Linguistic differences in Mother Tongue Reading Performance in Uganda

Rachel Jordan RTI International CIES 2018



Role of linguistic differences on program impacts



Challenges of program implementation in 12 local languages

Language in Uganda • Over 40 officially recognized languages • 1993 Local Language Policy • 2007 Thematic Curriculum BANTU

USAID/Uganda School Health and Reading Program 7 year USAID funded Working through MoES systems 12 Local Languages Large scale- 3,761 schools in 37 Districts Early Grades Reading approach Expanded through USIAD/Uganda LARA GPE UTSEP Build Africa ILeap

USAID/Uganda School Health and Reading Program

Systems and policies are strengthened

P1 to P4 pupil books and teacher guides

Teachers trained and supported

Advocacy for local language literacy instruction

Rigorous assessment of foundational reading skills

Learners read more fluently and understand more of what they are reading in both local language and English

5

USAID/Uganda School Health and Reading Program Cluster 1

Cluster 2

Cluster 3

Ateso

Leb Acoli

Ngakarimojong

Leblango

Lugbarati

Lhukonzo

Luganda

Lumasaaba

Lugwere

Runyankore- Rukiga

Runyooro-Rutooro

Lusoga

Language Complexity and Learning to Read Differences in reading outcomes in European languages is associated with variations in syllabic complexity and orthographic depth (Seymour et al. 2003) Learners’ ability to recall words is related to word length (Blake et al., 1994) Agglutinating nature of some Bantu languages means words are longer, and oral reading fluency may be lower (Abadzi, 2012)

Language Complexity in Uganda Language

Language Family

Average Word Length

Tonal Markings?

# of non-Latin letters

Comparative rank of language complexity

Acoli

Nilotic

3.6

Mark tone

6

High

Ateso

Nilotic

5.5

Mark tone

7

High

Leblango

Nilotic

3.8

Mark tone

18

High

Lhukonzo

Bantu

8.3

16

High

Luganda

Bantu

6.4

2

Low

Lugbarati

Sudanic

4.2

21

High

Lugwere

Bantu

7.1

6

Low

Lumasaaba

Bantu

6.0

10

Med

Lusoga

Bantu

7.0

11

Med

Ngakarimojong

Nilotic

4.8

6

High

Runyankore-Rukiga

Bantu

6.9

0

Low

Runyoro-Rutooro

Bantu

6.3

8

Med

Mark tone

Early Grades Reading Assessment Subtask & Measure

ABC

What is measured

Letter Sound Fluency

Correct letter sounds per minute (clspm)

Ability to identify sounds of letters

Oral Reading Fluency

Correct words per minute

Ability to read connected text

Percentage correct

Ability to comprehend reading passages

Reading comprehension Reading 20+ correct words per minute

Dichotomous: Child read 20+ cwpm or not

Early Grades Reading Assessment

Schools sampled at Coordinating Centre level 14 treatment/ 14 control 30 P1-P4 pupils randomly sampled (alpha cohort) Boys and Girls equally represented 1 on 1 oral assessment Approx. 15 minutes per language

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SHRP Impact Average Local Language Words Read Per Minute (wpm) Beginning of P1 to end of P4 25 20

Luganda Program

23

LugandaControl

22 20

Leblango Program 15

15 13

Leblango Control Ateso Program

10

Ateso Control Run-Rukiga Program

5

0

6

Run-Rukiga Control Beginning P1 Feb2013

End P1 Oct2013

End P2 Oct2014

End P3 Oct2105

End P4 Oct2016

SHRP Impact 0.95

0.93

Overall Average Effect Size, by Language

0.82 0.72

Cluster 1

0.59

Cluster 2

0.45

Cluster 3

0.39 0.3

0.28

0.21

0.13

0.09

Language Characteristics and Impact of SHRP Language Issues

Effect size R2

Language Family

Rank of language category

Average word length

# non-Latin letters

0.19

0.40*

0.0

0.11

Implementation Issues

Effect size R2

Socioeconomic Issues

Years of implementation

% schools receiving CCT visits

% teachers trained

% pupils wearing shoes

% attended pre-school

Average class enrolment

0.04

0.01

0.11

0.12

0.39*

0.06

Language Characteristics and Impact of SHRP

Effect size R2

Language Issues

Implementation Issues

Socioeconomic Issues

0.71

0.23

0.41

Implementation

“Calvin and Hobbes” by Bill Watterson

Language is Politically Sensitive

First Languageof P1 SHRP teachers in Karamoja Region Ngakarimojong

61%

Ateso

29%

Luo

4%

Leblango

4%

Runyankore-Rukiga

4%

Languages don’t sit still

Multiple languages isn’t “cheap”

English Titles P1 (1) 2,245 copies @ 0.54 USD

1,210 USD

Local Language Titles P1 (8) 278 avg copies per title @ 2.75 USD avg

5,686 USD

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“Good schools teach

in English”

20

Implications & Conclusion Language complexity is a significant predictor of SHRP impacts • More research to guide program adaptation • Discussions around national assessments and benchmarks

Reading programs in heterogeneous language settings face complex challenges- some strategies for confronting these challenges: • • • •

Staff on the ground and at every school Work at local as well as national levels Work through the system, so the system owns the processes Continuous dialogue