Murabbi, in collaboration with the Ministry of Federal Education and NUST, has completed a rigorous, two-phase recruitment drive to select 73 Coding Fellows for its flagship "Coding, Robotics, and AI Learning" initiative. The process, praised for its transparency and innovation, attracted 121 applicants nationwide.
Phase 1: Targeting NUST's Best
- Focus: Postgraduate students from NUST's School of Electrical Engineering and Computer Science (SEECS).
- Assessment: A 30-minute computer-based test conducted on September 4, 2024, at SEECS labs.
- Topics: Scratch, Python, Machine Learning, and Robotics.
- Safe Exam Browser ensured test integrity by restricting external websites.
- Results: 55 candidates tested → 45 shortlisted → 40 selected after interviews.
Phase 2: Nationwide Talent Search
- Expansion: Opened to non-NUST applicants, yielding 67 candidates.
- Testing: Identical automated exam and interview process.
- Final Shortlist: 80 candidates (40 from Phase 1 + 40 from Phase 2).
- Deployment: 73 Fellows confirmed by September 2024, with 17 waitlisted.
Gender Equity Milestone
- 26% Female Representation: 20 female Fellows prioritized for urban schools (e.g., G-7, F-6) to ensure accessibility.
- Flexible Hours: Fellows can attend postgraduate classes at NUST after 2 PM.
Tech-Driven Innovations
- Automated Grading: Instant MCQ results via Murabbi's LMS.
- Secure Testing: Safe Exam Browser prevented cheating during assessments.
- LMS Integration: Fellows pre-registered for progress tracking.
Next Steps
- Rural Focus: Offline coding kits and solar-powered LMS access for schools like Bara Kau and Sohan.
- Monitoring: LMS dashboards track student progress and Fellow performance.
Quote: "This recruitment model sets a benchmark for fairness. Every candidate faced identical conditions—no exceptions."
– Dr. Javed Iqbal, Technical Lead, Federal Directorate of Education