Primary Outcomes (explanation)
Teachers' ability to recognize bias is measured by using a database of 100 images coming from Pearson textbooks. These images have been previously selected and rated by Pearson experts. The measurement consists of the teachers evaluating how stereotypical an image is on a 1-5 Likert scale. They are presented with a series of 20 images and they will do this exercise twice, one at the registration step and the other after the evaluation is done.
Changes in teaching practices are measured with a survey that will be repeated post-evaluation. We ask about the frequency of group work, role games and simulation, debates and Socratic seminars, presentation of students' research, vote to decide between activities, use of ICT (information and communication technology), and students' auto-evaluation.
Pupils' performance is assessed via a simple test done twice (before and after the intervention). The test is divided into four thematic categories: Math, Language, Verbal reasoning, and Non-verbal reasoning. Each theme is divided into two questions with a box for the final result and another one for details and explanations about how they reach the final result. We then identify disadvantaged pupils via a survey conducted at the same time asking for characteristics such as gender, disability, or migrant status. The test is then double-marked by teachers, first openly, then blindly (with the pupil's information hidden).