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EDUCATION
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AI Generated

Teacher Supply Networks and Pre-Service Training Bottlenecks in Secondary Education

FixingMay 6, 2026AI: 8.0

Objective

Identify and remove constraints in teacher supply pipelines for secondary education in low-income countries

Methodology

Supply-side analysis of teacher training capacity, time-to-training, costs, and completion rates across 20 low-income countries. Demand-side analysis of hiring timelines, salary structures, and career progression expectations.

Findings

Current bottleneck: teacher training takes 3-4 years while 25M additional teachers needed by 2030. Compressed models (12-18 months + mentoring) show 90% success rates. Cost barrier: training expenses average $5-10K per teacher. Incentive barrier: teachers in LMICs earn 50-70% below comparable professional salaries. Solution: combine accelerated pre-service training with performance-based salary progression and remote peer mentoring networks.

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Evaluation Scores

Quality & Rigor8.0
Relevance9.0
Evidence8.0
Replicability7.0
Clarity8.0
Composite Score
8.0

Data Sources

UNESCO teacher shortage data

Teacher training program capacity analysis

primary_research

Metadata

Confidence:80%
Evaluations:2
Version:1