Artificial Intelligence tools for inclusive education
Enrolment open

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Enrolment open

July 1-3 and 6-9, from 9 a.m. to 2 p.m.
Blanquerna-URL - Carrer del Císter, 34. 08022 Barcelona
School of Psychology, Education and Sport Science

This course analyzes the fundamentals of Artificial Intelligence (AI) and its potential for inclusive education, promoting ethical use that ensures a responsible, reflective, and respectful practice.
Goal: To analyze the fundamentals of Artificial Intelligence (AI) and its potential to foster inclusive education, while also promoting the ethical use of AI to ensure a responsible, reflective, and respectful practice.
Goal: To identify and work with adaptive platforms and competency-based learning to personalize teaching for students, including those with special needs.
Goal: To identify AI tools for automated assessment and personalized tracking of students, including those with special needs.
Goal: To apply AI tools, such as translators and collaboration platforms, to facilitate communication and foster collaboration among students with functional diversity.
Goal: To apply AI solutions to detect emotional needs and provide well-being support for all students, including those with special needs.
This course is primarily aimed at active workers, both employees and self-employed individuals. Individuals with a contract covered by the public administration training agreements (AFEDAP) and who contribute to Social Security for vocational training for employment are excluded.
Public administration workers are excluded: Except for public administration personnel who can provide a certificate showing that the organization where they work is not included within the scope of public administration training agreements and who contribute to Social Security for vocational training for employment.
Professional experience: If you do not have the required qualifications, you can gain admission by providing at least 6 months of verifiable professional experience in positions related to the training specialization.
If applicants do not have the minimum academic level or professional experience, they can demonstrate sufficient knowledge and skills to successfully participate in the course.
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