This report leverages data mainly derived from the South African School Administration Management System (SA-SAMS), including a unique longitudinal version of the Data Driven Districts (DDD) data for three provinces as well as the Learner Unit Record Information Tracking System (Lurits) data and National Senior Certificate (matric) examination data to analyse the dynamics of the South African education system in the aftermath of the Covid-19 pandemic. It provides a detailed analysis of learner flows, assessment strategies, and teacher dynamics, offering valuable insights for policymakers and educational stakeholders and illustrating how such data can be used in education policy and planning.
This research report was produced for the Department of Higher Education and Training (DHET) and the Department of Basic Education (DBE). The study was undertaken to assess demand for, and supply of, teachers in the public service, in order to better inform teacher training policy.
The report analyses school flows, repetition, and dropout using a novel analysis of school-based assessments, and how well these predict future performance and learner flows. An important finding is that the high repetition and dropout rates in high schools imply an internal efficiency rate of only 49% (measured in terms of the years of enrolment in high school for every matric pass).