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The value of data and research in social investing: our experience February 2010 1
The Khanyisa experience Design 2004 Implementation (2004 -2008)  Formative- 07  No impact evaluation Profile  Baseline 12 case studies
Pre-implementation profiling Know what you are dealing with Confirm the critical success factors against the project intended outcomes General development conditions Student and teacher numbers Resourcing levels Use the information to construct a set of outcomes, outputs and indicators (logical framework)
Baseline Evaluation Intended uses: Benchmarking Refining the design: feedback project team  Driving change : feedback to beneficiaries Provide the basis for further investigations
Examples of value driven from the evaluation
Curriculum management practices: QA of assessmentTeachers required to submit tests for QA
Teacher practices: writing in LanguageMean no. exercises per year
Writing in MathsMean no. exercises per year
Learner Performance G3 Literacy
Learner Performance : Math
DIFFERENTIAL  ABSORBTIVE CAPACITY
Using data to plan for improvement
Pitfalls to avoid Basic designs do not tell  why there are or no changes in performance Khanyisa ran no impact study Monitoring data was not collected
Some lessons to pick up Use a mix of approaches to highlight the pattern of performance and to identify the reasons  Evaluate performance at the different levels of the system Valid evaluation results require sample sensitive designs Evaluation designs  should collect  a mix of educational and project data Evaluation design and project design should be done iteratively  Use data to tweak the designs all the way  & change if it doesn’t work
Lessons for JET 15

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Research in Social Investment - Tshikululu Social Investments workshop 2010

  • 1. The value of data and research in social investing: our experience February 2010 1
  • 2. The Khanyisa experience Design 2004 Implementation (2004 -2008) Formative- 07 No impact evaluation Profile Baseline 12 case studies
  • 3. Pre-implementation profiling Know what you are dealing with Confirm the critical success factors against the project intended outcomes General development conditions Student and teacher numbers Resourcing levels Use the information to construct a set of outcomes, outputs and indicators (logical framework)
  • 4. Baseline Evaluation Intended uses: Benchmarking Refining the design: feedback project team Driving change : feedback to beneficiaries Provide the basis for further investigations
  • 5. Examples of value driven from the evaluation
  • 6. Curriculum management practices: QA of assessmentTeachers required to submit tests for QA
  • 7. Teacher practices: writing in LanguageMean no. exercises per year
  • 8. Writing in MathsMean no. exercises per year
  • 12. Using data to plan for improvement
  • 13. Pitfalls to avoid Basic designs do not tell why there are or no changes in performance Khanyisa ran no impact study Monitoring data was not collected
  • 14. Some lessons to pick up Use a mix of approaches to highlight the pattern of performance and to identify the reasons Evaluate performance at the different levels of the system Valid evaluation results require sample sensitive designs Evaluation designs should collect a mix of educational and project data Evaluation design and project design should be done iteratively Use data to tweak the designs all the way & change if it doesn’t work