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Analytics and prediction for educational institutions using Google for Education1-10 Employees
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Jobs at Student Success

We face a growing and rapid process of digitization in many sectors, with education being one of the most lagging behind due to the lack of analytical tools that allow us to offer evidence of learning to seek continuous improvement. Student Success helps solve this challenge with analytics about students, teachers, classes, homework, among others; to adopt a culture of decision-making and continuous improvement of the student's experience and success based on data and evidence. - Make decisions based on data we obtain from the use of the GWfE environment and obtain evaluation evidence. - Analyze teaching and learning in a personalized way and be able to compare courses, students, classes, schools, etc. - Improve teaching-learning processes and be able to predict results that help us improve student development, reduce school failure and discover teacher training needs. We are going to continue measuring and objectifying qualitative variables: -Academic evolution -Enhance Engagement -Information management for decision making -Profession recommender -Student ratings and opinions

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