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Teacher Absenteeism in East and
Southern Africa
CIES Conference
17 April 2019
Comparative evidence from Rwanda, Zanzibar, Puntland and Kenya
The cases
Rwanda
Puntland (Somalia)
Zanzibar (Tanzania)
Kenya
Demographic and socio-economic context
High population growth – fertility rates between 6.2% and 4%
Young population – 54% to 43% below 18 years
Fragmented & diverse population
Large % of population depends on agriculture
Conflict
Overview of primary education in the region
Significant progress toward education-related MDGs & SDG4
Introduction of FPE & increased investment in education
 Rising enrolment, completion and PST rates
 Reduced drop-out and repetition rates
But important challenges still remain…
Access
Equity
Quality
Teacher absenteeism: the current state of play
Rwanda: 18% of Primary 6 students reported their teachers as often
absent from school (MINEDUC and UNICEF, 2017)
Kenya: Teacher school absenteeism estimated at 10% and classroom
absenteeism at 27% (Price et al. 2019)
Zanzibar: Absence of official data. Schools absenteeism estimated at 14%
and classroom absenteeism at 47% (for Tanzania as a whole) (WB, 2015)
Puntland: Absence of official data. School and classroom absenteeism
perceived as high (anecdotal accounts & expert interviews)
Quantitative Findings (Rwanda, Puntland,
Kenya)
Absence from school
0 5 10 15 20 25
Health
Family Reasons
Official School Business
Social / Community Obligations
Receiving pay
Weather
Teacher response to "What are the main reasons that may
sometimes keep you away from school?"
Kenya Rwanda
Absence of punctuality
0 5 10 15 20 25 30
Health
Family reasons
Climate
Official School Business
Transportation
Teacher response to "What are the main reasons that may sometimes
cause you to arrive to school late or leave from school early?”
Kenya Puntland Rwanda
Absence from classroom
0 5 10 15 20 25 30 35 40 45
Administrative reasons
Health
Official school business
Weather
Teacher response to “What are the main reasons that may sometimes keep you
outside of the classroom even though you are physically present at school?”
Kenya Puntland Rwanda
Absence from teaching
0 5 10 15 20 25 30 35 40
Health
Weather
Pupil misbehaving
Non teaching workload
Lack of TLMs
Teacher response to “What are the main reasons that may sometimes
limit the time you spend on teaching while in the classroom?”
Kenya Rwanda
Absence of quality teaching
0 5 10 15 20 25
Lack of TLM
Lack of content knowledge
Lack of training in classroom management
Language of instruction
Low student and parental aspirations
Teacher response to "When your students struggle to follow the class
what do you think are the main reasons?
Kenya Rwanda
Qualitative Findings (Rwanda, Puntland,
Kenya, Zanzibar)
Common determinants by level of analysis
National level  Teacher policies (remuneration, training,
monitoring)
Sub-national
level
 Monitoring capacity
Community
level
 Climatic conditions
 Transportation and infrastructure
 Community engagement and monitoring capacity
School level  Head teacher’s leadership and monitoring capacity
 Teachers’ workload
 Teaching and learning materials
Teacher level  Health
 Personal and social responsibilities
However…
Low salaries do not always lead to moonlighting (e.g. in Zanzibar, Kenya)
 Availability of alternative income generating activities
 Decentralized teacher recruitment
Varying teacher training needs
 Linguistic inadequacy (Rwanda and Zanzibar)
 Newly implemented curriculum (Rwanda, Puntland, Kenya)
Varying implementation capacities of sub-national actors
 Lack of consistency (Rwanda)
 Lack of resources (Rwanda, Puntland and Kenya)
 Lack of authority to sanction (Puntland)
However…
The issue of transport is multi-faceted
 Reliability (Rwanda and Zanzibar)
 Affordability (Rwanda)
Varying degree of community-engagement and monitoring
 Insufficient in Rwanda
 High in Puntland and Kenya (with well-established mechanisms for
sanctioning teachers)
• Varying HT monitoring capacity
• HTs systematically record only absence from school and punctuality
(Rwanda, Puntland, Zanzibar)
• In Kenya more sophisticated M&E framework (TPAD)
Key takeaways
 Multiple types of teacher absenteeism (TA) recorded in all cases
 Factors at various levels combine to give rise to each TA type
 Systemic governance, accountability and management issues (EDU system)
 Inter-governmental concern
 Important similarities between countries (in terms of determinants)
 Important variations too (both within and between cases)
 Contextual specificities
 Quality of policy design
 Policy implementation capacity
 Significant potential for cross-country learning
Regional policy guidelines
• Improve teachers’ status, compensation, and career progression policies
• Ensure pre-service training focuses less on content and more on
pedagogy
• Promote meritocratic selection of teachers and head teachers to
improve the quality of school staff
• Improve in-service training for teachers, head teachers, school
inspectors and curriculum advisers
• Use technology to improve teacher monitoring
• Explore inter-governmental synergies and promote government-wide
solutions to exogenous challenges
More findings to come…
Thank you!

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Teacher Absenteeism in East and Southern Africa

  • 1. Teacher Absenteeism in East and Southern Africa CIES Conference 17 April 2019 Comparative evidence from Rwanda, Zanzibar, Puntland and Kenya
  • 3. Demographic and socio-economic context High population growth – fertility rates between 6.2% and 4% Young population – 54% to 43% below 18 years Fragmented & diverse population Large % of population depends on agriculture Conflict
  • 4. Overview of primary education in the region Significant progress toward education-related MDGs & SDG4 Introduction of FPE & increased investment in education  Rising enrolment, completion and PST rates  Reduced drop-out and repetition rates But important challenges still remain… Access Equity Quality
  • 5. Teacher absenteeism: the current state of play Rwanda: 18% of Primary 6 students reported their teachers as often absent from school (MINEDUC and UNICEF, 2017) Kenya: Teacher school absenteeism estimated at 10% and classroom absenteeism at 27% (Price et al. 2019) Zanzibar: Absence of official data. Schools absenteeism estimated at 14% and classroom absenteeism at 47% (for Tanzania as a whole) (WB, 2015) Puntland: Absence of official data. School and classroom absenteeism perceived as high (anecdotal accounts & expert interviews)
  • 7. Absence from school 0 5 10 15 20 25 Health Family Reasons Official School Business Social / Community Obligations Receiving pay Weather Teacher response to "What are the main reasons that may sometimes keep you away from school?" Kenya Rwanda
  • 8. Absence of punctuality 0 5 10 15 20 25 30 Health Family reasons Climate Official School Business Transportation Teacher response to "What are the main reasons that may sometimes cause you to arrive to school late or leave from school early?” Kenya Puntland Rwanda
  • 9. Absence from classroom 0 5 10 15 20 25 30 35 40 45 Administrative reasons Health Official school business Weather Teacher response to “What are the main reasons that may sometimes keep you outside of the classroom even though you are physically present at school?” Kenya Puntland Rwanda
  • 10. Absence from teaching 0 5 10 15 20 25 30 35 40 Health Weather Pupil misbehaving Non teaching workload Lack of TLMs Teacher response to “What are the main reasons that may sometimes limit the time you spend on teaching while in the classroom?” Kenya Rwanda
  • 11. Absence of quality teaching 0 5 10 15 20 25 Lack of TLM Lack of content knowledge Lack of training in classroom management Language of instruction Low student and parental aspirations Teacher response to "When your students struggle to follow the class what do you think are the main reasons? Kenya Rwanda
  • 12. Qualitative Findings (Rwanda, Puntland, Kenya, Zanzibar)
  • 13. Common determinants by level of analysis National level  Teacher policies (remuneration, training, monitoring) Sub-national level  Monitoring capacity Community level  Climatic conditions  Transportation and infrastructure  Community engagement and monitoring capacity School level  Head teacher’s leadership and monitoring capacity  Teachers’ workload  Teaching and learning materials Teacher level  Health  Personal and social responsibilities
  • 14. However… Low salaries do not always lead to moonlighting (e.g. in Zanzibar, Kenya)  Availability of alternative income generating activities  Decentralized teacher recruitment Varying teacher training needs  Linguistic inadequacy (Rwanda and Zanzibar)  Newly implemented curriculum (Rwanda, Puntland, Kenya) Varying implementation capacities of sub-national actors  Lack of consistency (Rwanda)  Lack of resources (Rwanda, Puntland and Kenya)  Lack of authority to sanction (Puntland)
  • 15. However… The issue of transport is multi-faceted  Reliability (Rwanda and Zanzibar)  Affordability (Rwanda) Varying degree of community-engagement and monitoring  Insufficient in Rwanda  High in Puntland and Kenya (with well-established mechanisms for sanctioning teachers) • Varying HT monitoring capacity • HTs systematically record only absence from school and punctuality (Rwanda, Puntland, Zanzibar) • In Kenya more sophisticated M&E framework (TPAD)
  • 16. Key takeaways  Multiple types of teacher absenteeism (TA) recorded in all cases  Factors at various levels combine to give rise to each TA type  Systemic governance, accountability and management issues (EDU system)  Inter-governmental concern  Important similarities between countries (in terms of determinants)  Important variations too (both within and between cases)  Contextual specificities  Quality of policy design  Policy implementation capacity  Significant potential for cross-country learning
  • 17. Regional policy guidelines • Improve teachers’ status, compensation, and career progression policies • Ensure pre-service training focuses less on content and more on pedagogy • Promote meritocratic selection of teachers and head teachers to improve the quality of school staff • Improve in-service training for teachers, head teachers, school inspectors and curriculum advisers • Use technology to improve teacher monitoring • Explore inter-governmental synergies and promote government-wide solutions to exogenous challenges
  • 18. More findings to come… Thank you!

Editor's Notes

  1. Most similar systems design (MSSD). While sampled cases have significant differences, e.g. in terms of population size and GDP growth, they also have important similarities that make comparative analysis feasible. See next slide
  2. Fertility Rates (WB, 2017) : Zanzibar: 5.1%, Puntland: 6.2%, Kenya: 3.4%, Rwanda: 4% % of population under 18 (WB, 2017): Zanzibar: 52% Puntland: 54%, Kenya: 44%, Rwanda: 48% Population diversity: In Kenya as many as 70 ethnolinguistic groups; In Puntland clan-based societal organization; ethnic fragmentation in Rwanda; in Zanzibar lower levels of diversity but ethnolinguistic fragmentation still present Agriculture (includes livestock and animal husbandry): Largest contributing sector to GDP – the backbone of all national economies Conflict: Active communal conflict in Kenya and Puntland Legacy of conflict in Rwanda (genocide) Legacy of political conflict in Zanzibar (post election violence and secessionary tendencies)
  3. Free Primary Education: Introduced in Kenya (2003), Rwanda (2003) and Zanzibar (2001) – but not in Puntland. Considerable and consistent investments in EDU in all countries: Government expenditure on education (as % of GDP) high in most countries – e.g. 5.4% in Kenya and 3.9% in Zanzibar (2017, WB) Tremendous support from donors in all countries – especially in Puntland where government budget is limited. In Kenya too, the UPE program is donor-funded. Detailed strategic plans and implementation guidelines adopted in all countries aimed at improving primary education access and quality – e.g. in Kenya: the National Education Sector Plan (NESP) 2013-2018; in Rwanda: Education Sector Strategic Plan (ESSP) 2017-2023; in Puntland: Education Strategic Plan 1 & 2, and Education Policy Paper (2011). Results (in all countries): Increased Gross and Net Enrolment Rates; increased primary completion rates & primary to secondary transition (PST) rates Reduced drop out and repetition rates Remaining Challenges: Access: Enrolment is currently high on average, but there are still groups among whom enrolment is very low, such as children working or living on the streets, children with special learning needs, and children engaged in child labor Equity Significant variations in education outcomes between regions (within countries) and gender disparities (boys’ enrolment and completion rates higher than girls’) Quality inadequate number of schools Poor quality of existing school infrastructure Lack of sufficient school instructional materials Teacher shortages Lack of sufficient teacher training Lack of well-designed curriculum (competence-based only in Rwanda and recently in Kenya) - Language of instruction also an issue. Esp. in Rwanda (where English become the official language of instruction as recently as 2008) and in Zanzibar
  4. Teacher absenteeism also an important issue that is directly linked to EDU quality. According to latest available stats, TA rates are high across all 4 cases. Rwanda: The most recent study on teacher absenteeism in Rwanda, conducted by MINEDUC and UNICEF Rwanda, found that absenteeism may vary by primary school level. Students in Primary 1 through Primary 6 were asked whether their teachers are often absent, and results varied widely throughout primary levels: while 18% of Primary 6 students said their teachers is often absent, an alarming 87% of Primary 1 students reported their teachers as often absent. (MINEDUC and UNICEF. (2017). Understanding Dropout and Repetition in Rwanda) Kenya: A study by UWEZO in 2015, confirmed the prevalence of teacher absenteeism in the country. Teacher school attendance rates were measured during unannounced school visits, and on average, 12 out of 100 teachers were found to be absent. A recent study (2019) also confirmed existing estimates on teacher absenteeism. The study, which was of much smaller scale and conducted in 20 randomly selected schools in Embu county, estimated school absenteeism at 10% and classroom absenteeism at 27%. Uwezo. 2016. Are our Children Learning? School quality and learning in Kenya. Policy Brief, Nairobi: Uwezo. Price, J., Galvis, M., Channa A. (Forthcoming in 2019). Understanding teacher attendance in Kenya: a case study of Embu County. NFER International   Zanzibar: SDI data (2014)
  5. TTT teacher survey data
  6. TTT Survey findings (self-reported data in %) Survey findings were CONFIRMED BY QUALITATIVE DATA!!! This is important as only our interview and FDG data are representative and can be used for drawing generalizable conclusions. But, graphs help get key messages across. Similarities: Teacher Health, Family reasons, and climatic conditions (combined with poor infrastructure and distance from school) most frequently cited causes of school absence. Variations: Receiving pay much bigger issue in Rwanda than in Kenya where the government makes mobile payments Official school business (mostly trainings) contributes more frequently in TA1 in Rwanda rather than in Kenya, where teacher training are held on Weekends and school holidays only.
  7. Key determinants of TA2 largely similar across cases.
  8. Climatic conditions (extreme heat) in Puntland (in combination with poor school infrastructure that makes staying in the classroom unbearable in the afternoon) is a more frequent complaint than rain in Kenya and Rwanda. Rain prohibits teaching and increases teachers’ classroom absences because of the noise it produces when it falls on tin/metal ceilings. Official school business (usually trainings) is less frequently cited in Kenya, again, because of MoEST’s decision to organize all seminars and trainings during weekends and holidays Administrative workload is a very frequent complaint in Rwanda and Kenya where non-teaching workload is very high. Teachers in Kenya often cite filling in TPAD docs as a key reason for not being in the classroom; Ironically, a tool designed to reduce TA has contributed to some forms of it (TA3 and TA4). However, the GoK is currently working on reducing the amount of input required from teachers. TPAD is generally considered a successful initiative as it has significantly reduced TA1.
  9. Again, M&E requirements in Kenya often force teachers to work on TPAD paperwork while in the classroom
  10. Key determinants of TA5 largely similar across cases.
  11. Based on IDIs, FGDs, and non-participant observation
  12. Low salaries do not always lead to alternative employment, such as in the case of Zanzibar. This usually has to do with lack of alternative employment opportunities and is more frequently observed in rural areas. Local teachers are however also more likely to be frequently absent, even in rural areas, as they have better networks and often own land/cattle that requires their attention. Subnational monitoring capacity varies Data has revealed many issues related to sub-national-level monitoring, including lack of consistency (Rwanda), lack of resources (Rwanda, Puntland and Kenya), lack of sanction (Rwanda, Zanzibar) and simply lack of authority to sanction (Puntland).
  13. Transport not only about sufficient supply/availability CECs (Puntland) and BoMs (Kenya) able to hire and dismiss teachers. Also, actively involved in teacher monitoring. In most countries, observation of TA3 and TA4 is not systematic and produces no data – HTs can check for these TA types only through class observation. In Kenya, TPAD captures also absence from classroom and teaching as teachers and HTs are required to record lesson plans and lessons delivered. Students also report teachers’ class presence (class prefects)
  14. Persistent high rates of teacher absenteeism from school, as well as absenteeism from the classroom and from teaching while at school, point to systemic governance, accountability, and management issues within the EDU system. The multi-faceted nature of the problem and its magnitude suggest that there is a pressing need to identify and address its underlying causes. Failure to do so will not only perpetuate the waste of the considerable resources the governments in the region spend on education, but will also condemn generations of students to suboptimal education, stunt their academic growth, and consequently, diminish their opportunities in life. However, TA is also an intergovernmental concern and addressing it requires a government-wide response. For instance, improving teacher monitoring and sanctioning will not address issues of poor community infrastructure and quality of transportation services – two major determinants of TA1 and TA2. Teacher health, another frequently cited determinant in all countries, cannot be addressed by EDU actors only. Cooperation with health and nutrition actors also required. Synergies need to be identified and inter-ministerial cooperation to improve. Important similarities in terms of TA determinants (discussed previously) Variations: Within cases: rural/urban settings; regional variations Between cases: Policy design: Teacher policies in some countries more comprehensive & better aligned with determinants Some countries have increased enforcement capacity compared to others