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Teacher salaries often account for approximately three-quarters of education spending in low- and middle-income countries (LMICs), but countries face many challenges in ensuring an equitable distribution of teachers across schools and implementing fair policies of recruitment and promotion. The Teaching Service Commission (TSC) in Sierra Leone is attempting to meet some of these challenges by pursuing ambitious data-driven approaches to teacher management. This has included the recent development of a Teacher Management Information System (TMIS) as well as the introduction of a digitised Teacher Licensing Exam. Building on this, the TSC introduced the use of a matching algorithm into their 2024/25 recruitment process. This paper looks at some of the practicalities and a quantitative analysis of how this was implemented. A companion paper titled 'Shifting Power Dynamics in Education Decision-Making: Investigating the role of a matching algorithm to improve teacher deployment in Sierra Leone', includes a qualitative analysis of the research and examines how the changes impact decision-making on teacher allocation. See the related resources below for a link to the companion paper. An output of the EdTech Hub, https://edtechhub.org/
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A companion paper titled 'Shifting Power Dynamics in Education Decision-Making: Investigating the role of a matching algorithm to improve teacher deployment in Sierra Leone', includes a qualitative analysis of the associated research and is available in the EdTech Hub Evidence Library at https://docs.edtechhub.org/lib/IRFH43RX.
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