To prevent children from falling behind in the developmental sequence of reading, a shared vision of what reading success looks like at each step is required. A multi-disciplinary team from SALDRU at UCT, RESEP at Stellenbosch University and NORC at the University of Chicago have collaborated to inform this shared vision through the establishment of benchmarks for foundational reading skills in three Nguni languages. The summary and technical benchmarking reports were recently launched by the Department of Education as part of their workshop on Reading Benchmarks for African Languages.
Working Papers
For better or worse, all of our careers are shifted, shaped and sometimes shortened by influential figures in our lives. When it comes to women in Science, Technology, Engineering and Mathematics (STEM) fields, access to support structures are even more important for growth and development. Unfortunately, many females still have to overcome barriers of prejudice and inequality.
With the announced hard-lockdown in March 2020, and as with most other non-essential activities, all fieldwork at Statistics South Africa (StatsSA) was shutdown. However, researchers at RESEP were quick to realise that rapidly updated, accurate information on key outcomes such as unemployment, household income, child hunger and access to government grants would be of vital importance for sound decision making during a global pandemic.
Dr Nic Spaull from Stellenbosch University’s Economics Department was this week awarded a P-rating by the National Research Foundation (NRF), the highest rating possible for post-doctoral researchers in South Africa.
How is the COVID-19 pandemic affecting educational quality in South Africa? Evidence to date and future risks
Stellenbosch Working Paper Series No. WP23/2020 Publication date: December 2020Stellenbosch Working Paper Series No. WP23/2020
Publication date: December 2020
The data from Wave 1 of NIDS-CRAM showed that women were disproportionately affected by the Covid- 19 crisis and the first month of the lockdown period in South Africa. Not only were they much more likely than men to lose their jobs between February and April or to work fewer hours compared to the pre-crisis period, they also took on a greater share of the additional childcare as a result of school closures and the suspension of all childcare services. In this policy paper, we use Wave 2 of NIDS-CRAM to explore how women and men have fared as the economy started to reopen and lockdown restrictions were relaxed.
Household resource flows and food poverty during South Africa’s lockdown: Short-term policy implications for three channels of social protection
Stellenbosch Working Paper Series No. WP22/2020 Publication date: December 2020Stellenbosch Working Paper Series No. WP22/2020 Publication date: December 2020
Quantitative analysis of education in South Africa and southern Africa. Analysis of education data sets, particularly international educational evaluations (SACMEQ, TIMSS, PIRLS, PISA-D). The focus will be on social gradients and resilience, closely linked to current research undertaken by Resep.
Research on labour markets and education in Southern Africa. Analysis of household data sets and educational evaluation data such as SACMEQ, PIRLS or TIMSS, with a particular focus on labour market outcomes and how these are influenced by education level and quality.
Schools in the time of COVID-19: Possible implications for enrolment, repetition and dropout
Stellenbosch Working Paper Series No. WP20/2020 Publication date: November 2020Stellenbosch Working Paper Series No. WP20/2020
Publication date: November 2020
This is a summary report that presents the key findings and approach used in identifying early grade reading benchmarks and thresholds in three Nguni languages: isiZulu, isiXhosa and siSwati.
This report presents the key findings and approach used in identifying early grade reading benchmarks and thresholds in three Nguni languages: isiZulu, isiXhosa and siSwati.
This working paper presents the findings of research into the impact of the COVID-19 pandemic on the curriculum in South Africa. Four research questions frame the report:
This project is linked to the Early Learning Programme (ELP) and uses data from the Readership and Literacy project but is also supplemented by others funded by Economic and Social Research Council (ESRC).
A portion of this project includes reanalysing WCED CEMIS and Systemic Tests to determine how early learning performance affects progressions, dropout, and matric results. The project is currently in its second year and is funded by the Allan Grey Orbis Foundation Endowment.
Using longitudinal data components and disability statistics, this project aims to investigate school-based assessments. Funds have been received from the Michael and Susan Dell Foundation. The project is currently waiting for data.
The data from Wave 1 of NIDS-CRAM showed that women were disproportionately affected by the COVID-19 crisis and the first month of the lockdown period in South Africa. Not only were they much more likely than men to lose their jobs between February and April or to work fewer hours compared to the pre-crisis period, they also took on a greater share of the additional childcare as a result of school closures and the suspension of all childcare services.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
A report stemming from NIDS-CRAM wave 1, a project consisting of work by a national consortium of 30 social science researchers from five South African universities. The consortium will conduct the National Income Dynamics Study (NIDS) Coronavirus Rapid Mobile Survey (CRAM) over the course of May – December 2020. The NIDS-CRAM project exists to collect, analyze and disseminate data on a broadly representative sample of South African individuals, and to report on their employment and welfare in light of the COVID-19 pandemic.
This brief replicates UNESCO’s calculations, to determine whether South African teachers’ wages are comparable with those in Denmark. The level of teacher wages so determined was only USD71, which is similar to Japan and Italy, but even this seems unrealistically high. UNESCO uses purchasing power parity (PPP) exchange rates for converting teacher pay across countries to dollars – this is where the problem might be. As an alternative strategy to assess the adequacy of teacher pay in international comparison, we use teacher household assets instead of compensation as a proxy for teacher living standards. This results in findings which are considered to be plausible, as South Africa is then comparable with developing countries such as Botswana, Malaysia and Philippines.