Speaker
Description
The educational process, as we know it, is not a universal solution for everyone who follows it or will follow it. It is not perfect—nor can it be—but it can certainly be improved and adapted to evolve alongside those who engage with it. Data lies at the foundation of knowledge, yet it is not sufficiently leveraged in the learning process. There is a need for a way through which the educational system can accelerate its outcomes and better align with diverse learning styles and student profiles, evolving with them.
The solution proposed in this paper helps educators harness the data they have and support a personalized educational process, rooted in data-informed decisions and simplified through the seamless integration of technology. This thesis covers the development, testing, and validation of the platform as a solution for improving the teaching process and integrating technology as an accelerator in education.
