DDD Dashboard Note: *Only SA-SAMS modules 1, 2, 3 and 12 Key education data processed on the DDD Dashboard School – Learner – Educator School information available on DDD • 20,463 out of 22,492 schools on DDD = 91% school coverage (excludes Western Cape and Free State schools) School • Currently only processes x4 term schools following CAPS • Aggregated school data displayed 4+ years • Derived fro. [...] & Long.) > Quintile > School type > Promotional Language > Learner Count > Educator Count > Attrition rates* Note: Data points for 2024 Term 2; *DDD calculations, not extracted from SA-SAMS; Only SA-SAMS modules 1, 2, 3 and 12 Example of school level analysis: School GIS data illustrating provincial borders vs. [...] FS) • Only process learner records with attendance and task mark data Learner • Learner level data displayed for latest 3 years only • Majority of measures and visuals on DDD are calculated from learner level data Personal Information General Year-Term Information Subject Performance Information > Name & surname > Registered school > Term report mark > ID number > Full entity hierarchy > Exam/Test. [...] The value offered by DDD solutions motivate school officials to populate more complete and accurate data Impact of DDD Programme insights and solutions The DDD Dashboard provides insights that drive action FET Promotion Profiles Learner and Educator Attendance Early Warning Learner Attrition Insights District Grade 12 T1 2024 Weekly Attendance Insights School Attrition Insights: T2 2024 Learners f. [...] largest official HL or FAL subject enrolment Slide 8: Learner information available on DDD Slide 9: Example of learner level analysis: FET promotion criteria profiling Slide 10: Educator information available on DDD Slide 11: Managing data quality Slide 12: While quality data from source is preferred, automatic mechanisms to drive improved data quality are implemented across the entire data flow j.
Authors
- Pages
- 19
- Published in
- South Africa
Table of Contents
- Slide 1 1
- Slide 2: Introduction 2
- Slide 3: Overview of the Data Driven District (DDD) Programme 3
- Slide 4: The programme continues to thrive due to technology best-practices, strong partnerships, committed funding and extensive support services to users 4
- Slide 5: Key education data processed on the DDD Dashboard School – Learner – Educator 5
- Slide 6: School information available on DDD 6
- Slide 7: Example of school level analysis: School GIS data illustrating provincial borders vs. largest official HL or FAL subject enrolment 7
- Slide 8: Learner information available on DDD 8
- Slide 9: Example of learner level analysis: FET promotion criteria profiling 9
- Slide 10: Educator information available on DDD 10
- Slide 11: Managing data quality 11
- Slide 12: While quality data from source is preferred, automatic mechanisms to drive improved data quality are implemented across the entire data flow journey 12
- Slide 13: Data quality challenges and other mechanisms driving improved data quality 13
- Slide 14: Impact of DDD Programme insights and solutions 14
- Slide 15: The DDD Dashboard provides insights that drive action 15
- Slide 16: District Impact Stories 16
- Slide 17: The use of DDD data – looking forward 17
- Slide 18: Enhancements to the DDD programme have direct implications for decision making, access to data and sector research 18
- Slide 19: Thank you 19