The Potential of Smart Matching Platforms in Teacher Assignment: The Case of Ecuador
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This paper studies the potential of personalized "smart" information interven- tions to improve teacher assignment results in the context of a centralized choice and assignment system (CCAS) in Ecuador. Specifically, we focus on the impact that a personalized non-assignment risk warning, coupled with a list of "achiev- able" teaching position recommendations, had on teacher applications in the “I Want to Become a Teacher” selection process.