COMMUNITY BASED MONITORING SYSTEM PROJECT PRESENTATION Project Title

COMMUNITY BASED MONITORING SYSTEM PROJECT PRESENTATION Project Title : CBMS – EDUCATION SYSTEM IN ZAMBIA– the Case of Kanyenda Ward of Mpongwe district, Zambia Name: MOSES FRANCIS MUTAKULA SIN: 1511241866 Programme : MASTERS IN EDUCATION 1

PROJECT DETAILS § Study type § Initiators § Year § § § : CBMS SCHOOLS Survey : ICU and ZRDC : 2017 GEOGRAPHICAL CHARACTERISTICS Location : Copperbelt Province District : MPONGWE Constituency : MPONGWE Ward : Kanyenda :

INTRODUCTION �Copperbelt Province is rich with mineral finds and mines. The name of the province is given by the rich finds of copper ore (e. g. Chingola, Konkola, Nchanga Mines), but notable are also emerald mines along Kafubu River, which in the first 6 months of 2011 yielded 3. 74 tons of high quality emeralds.

Introduction cont. . �MPONGWE was founded in 1936 in north-central Zambia as the railway was being built by Cecil Rhodes' company. The expanding glass factory made it the dominant centre in the region and MPONGWE started building up its size and significance over the years, finally surpassing other near by town Kabwe. The Rhodesia Railways main line reached the town in 1937, providing passenger services as far south as Bulawayo, with connections to Cape Town. The line was extended into DR Congo, and from there eventually linked to the Benguela Railway to the Atlantic port of Lobito, which used to take some of Zambia's copper exports but is currently closed.

Transport LUANSHYA -MPONGWE has two railways stations, a TAZARA Railway station that connects it to Dar-es-Salaam and a Zambia Railways stations that connects it to Lusaka and Livingstone. The TAZARA Railway station is considerably larger and more modern than the Zambia Railways station. Just north of the town, there is a major junction, with the road north to Mkushi, Serene, and the Tanzanian border going north-eastwards, and the road to the Copperbelt heading to the north west. This, combined with the railway links, makes Kapiri Mposhi an important point in the regional freight network.

POPULATION DISTRIBUTION �According to CSO (2012, p. 4) the population composition by province, region and sex indicate that 49. 3 % are males and 50. 7 are females. �This CBMs findings shows that 46 % are males and 54 % are females �The CBMS mean size findings of 5 reflects in comparison with 2012 CSO population census figure of 4. 5 for Copperbelty Province.

INDUSTRIES �The respondents indicated that Production industries is source of employment. The most well known industry is Mpongwe farming block which is the main employer. The Main employing industry is government, followed by indeni factory in ndola then agriculture, trading and construction sector and lastly bricklaying as a form of self employment.

RESPONSES § 75% of the respondents indicated that recruitment an deployment of teachers in rural areas is going on very well even though 25% said that the recruitment stoppage from 2005 to 2010 affected the number of teachers in the area. There is a correlation between children's teacher ratio and the level of teachers recruitment. § It also came out clear that women are not motivated to participate in technical programmes. From the responses only 25% level was given as being attained.

REGRESSION OF C 1 AND B 4 The regression of c 1 and b 4 shows that there is a relationship between the state of a child and failure to pay school fees by guardians. ie , double orphan or single orphan will find it difficult to pay school fees. The regress above shows this relationship

THE CHI-SQUARE OF D 4 & D 5

AR CH ry da l l oo ch ol oo ch S S ry ho Sc y ar da co n ec on fu S im nt hi C Se e w ng po M rim ol ho Sc y ol ol ho Sc y ar rim ar P ba hi m as lu ku N p m bu ku N im P r ho Sc y 0 ya un un k al K ol ho Sc y . . ol ho Sc y rim ar p sa m ba Ka rim ar P sh i ar on d T. D IS N TI O LA ec S da an nt uy a en PU PO S ny Ka B ER AC H TE R FO T CHART FOR TEACHERS DISTRIBUTION 40 35 30 25 20 15 10 5 Series 1 11

PUPILS POPULATION 8% 21% 5% 4% Mpongwe Secondary School Chintimfu Secondary School 7% Kanyenda Secondary School Buyantanshi Primary School Kasamba primary School Kalunkunya Primary School 9% 24% 22% Nkulumashiba Primary School

TEACHERS DISTRIBUTION �Kanyenda Secondary School �Buyantanshi Primary School �Kasamba primary School �Kalunkunya Primary School �Nkumbu primary School �Nkulumashiba Primary School �Mpongwe Secondary School �Chintimfu Secondary School 31 teachers 13 teachers 10 teachers 05 teachers 08 teachers 05 teachers 30 teachers

Distribution c 1 shows the age of parents

Distribution of social status of the pupils

CHALLENGES AND CONSTRAINTS § The survey of pupils in the local area was enriched by the field data, collected primarily from the respondents. § The time allocated to do research was a constraint. Since the researcher was a full time employee with a lot of responsibilities such that it was difficltuty to assist the respondents closely § Many of school respondents were not very accessible and available at the time required for interviews, questionnaires were left to be filled § limited by inadequate funds for transport and logistics to support respondents.

conclusion � The findings indicate that the enrolment rates are 100% but completion rate is 35% meaning that alot of pupils drop out on the way. � The gender parity index is 1 boy to 3 girls meaning that we are on course to meet SNDP � The provision of training materials to schools is 55% showing that we are half way to meet SNDP � The promotion of women in technical programs is 76% indicating that we are on course to the attainment of this sixth National Development plan

RECOMMENDATION �The government should build other new school to meet the demand reduce the teacher pupil ratio. �Both rural and urban infrastructure investment in education, and agriculture (markets, roads, energy, skills development for women and young men) can enhance productivity and job creation for quality jobs and incomes �Training materials should also be supplied to all schools to improve the academic results.

REFERENCE § Central Statistics Office (CSO) 2010 living conditions of people in Northwestern Province, Lusaka § Central Statistics Office (CSO) 2012 2010 Census of Population and Housing, Lusaka § Government of Zambia (2012) Statutory Instrument No. 47 of 2012, The Minimum Wages and Conditions of Employment Act (Laws, Volume 15, Cap. 276). Government Printer. Lusaka. http: //www. zambialii. org/zm/legislation/statutoryinstrument/2012/47. Accessed 3 rd July 2014 § http: //www. jctr. org. zm/index. php? option=com_content&view= article&id=61&Itemid=27. Accessed 23 rd July 2014 § UNDP (2013) Progress Report on Zambia 2013 New Horizons Printing Press, Lusaka