Application of artificial intelligence in education II - automation. Statistics in education. Analytics in education (m4)

General objectives:

1. Understand the possibilities of automation in the educational field through AI
2. Explore the use of statistics and analytics in AI-powered education
3. Develop skills to implement automation and analytics solutions in educational contexts

Cross-cutting skills:

1. Analytical thinking and data interpretation
2. Operational efficiency and process management

Specific skills:

1. Implementation of automation solutions in educational processes
2. Analysis and interpretation of educational data using AI techniques

1. Automation of administrative and pedagogical processes in education
2. Statistics applied to education with AI support
3. Learning analytics and performance prediction systems
4. Visualization of educational data and creation of dashboards

Tuition fee: 287.50 euros
Alumni discount: 7%

• Payment is made by credit card on this website. If payment is not made, the enrollment will not be registered.
• ​Pre-enrollment and/or enrollment may remain open until the deadline indicated or until the available places are taken.
• The amount paid for enrollment on the course will only be refunded if it is canceled by the School.
• Failure to apply for any of the discounts provided for different groups is the responsibility of the enrolling student.

Relevant information

• To be eligible for the certificate of completion, attendance is mandatory for at least 80% of the course.
• According to Order ENS / 248/2012 of August 20, this course is considered permanent training for non-university faculty.

Dr. Miquel Àngel Prats Fernández, full professor of educational technology at the URL; LR of the eduTIC line of the PSITIC-URL research group; director of the education-training division of CIVICAi.

Dr. Xavier Canaleta Llampallas, coordinator of the University Master's Degree in Teacher Training (Technology specialty); full professor of teaching innovation and introduction to educational research; director of Educational Innovation at La Salle Campus Barcelona; coordinator of the TEL (Technology Enhanced Learning) research line within the HER (Human Environment Research) research group.

Mr. Xavier Vilasís, professor; Smart Society research director; La Salle Campus Barcelona-URL.

Dr. Maria Alsina, director of Deployment of Teaching Methodologies and Policies; La Salle Campus Barcelona-URL.

Mr. Pau Garcia-Milà, president of Founderz.