REB Training: Using Teacher Data for Policy Monitoring
The training comprises handouts, readings, exercises and assessments aimed at building and supporting skills for monitoring and making evidence-based decisions on teacher policy. The training is organized in three modules. Learning goals are described here. Pre-training readings are available here.
Module 1 presents the main areas and levels for teacher policy decisions. For each area, the underlying theory, policy context in Rwanda, and relevant indicators for policy monitoring are presented.
Module 2 reviews basic concepts on data literacy. It introduces the definition and measurement of key education indicators, discusses data access policies, data structures and data interpretation, and presents basic descriptive and correlational statistics.
Module 3 shows how to calculate and visualize indicators for teacher policy monitoring using the R statistical software. The module provides an introduction to R and its basic commands. Using data from Rwanda’s Teacher management Information System (TMIS), you will learn how to create and visualize indicators for policy monitoring. Data, scripts, and exercises are provided.
You will start with the self-assessment, then complete the three modules, and finally conduct the self-assessment again to evaluate your learning. You may post questions to the instructor below.
Self-Assessment
Please complete the self-assessment before and after the training, and compare your score. The self-assessment allows participants to reflect upon learning goals, judge their own learning process and accomplishments.