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EurekAI_tit

University of Navarra

 

Focused course

Course 0 EurekAI

Integration of generative AI in teaching and learning processes

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0,5 ECTS credit
10 hours of dedication

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June 23rd - August 24th, 2025
openenrollment

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Focused course
100% online

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Limited places

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group EurekAI

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EurekAI is a group promoted by the Office of Academic Affairs and formed by an interdisciplinary team of professors and professionals of the University of Navarra. Its goal is to develop a pedagogical model that effectively and ethically integrates the use of Artificial Intelligence in the University.

Among its main lines of action are the continuoustraining of students and faculty in digital skills, personalized support to teachers and research in innovative educational methodologies. In this framework, Course 0 is launched, an introductory and flexible training designed to provide university faculty with the basic keys on the use of generative AI in teaching. This course aims to help teachers understand the transformative potential of these tools, guiding them in their pedagogical integration to enhance student learning from a critical and manager perspective.

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Objectives

Through the course, participants will acquire the necessary knowledge to reach A1 level of skill in the integration of AI in Education, in the following three core topic dimensions:

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A1. teaching and learning with AI

 

Understand the fundamental concepts of AI and its potential impact on teaching and learning.

Use simple AI tools, such as AI-driven educational resources or basic analytics, to support teaching.

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A1. Professional Commitment

 

Understand the basics of how AI can be used for professional development and communication.

Actively explore different AI tools for communication and professional development .

Participate in learning communities where you discussion AI in Education, share initial experiences and learn from your peers.

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A1. employment AI training resources

 

To understand the basic concept of AI and its potential to improve the training resources used in teaching processes.

Acquire a basic familiarity with the AI-enhanced resources available to Education, even though their actual use may be limited.

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Programme management

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Alejandro Néstor García Martínez

Alejandro Néstor García Martínez

School of Humanities and Social Sciences

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Francesc Pujol Torras

Francesc Pujol Torras

School of Economics and Business Administration

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Daniel Sierra Vila

Daniel Sierra Vila

Planning and Improvement Service teaching

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Programme and contents

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UNIT 1
What is AI-Generative AI


  • Machines that think? What is Artificial Intelligence

  • Generative AI: when technology creates new content

  • Large language models (LLM): the machine that "predicts" what you are going to say

  • Can AI be creative? How images, music and text are generated

  • Technological disruption? The transformative potential of AI-Gen

  • How AI-Generative AI affects Education

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UNIT 2
How to integrate AI into teaching


  • The professor s perspective on AI

  • Criteria for the integration of AI in learning

  • Effective AI integration matrix: a panoramic view

  • Avoid and Revise: Avoiding ineffective learning

  • Preserve and promote: not all that glitters is AI

  • Towards a university framework for AI integration

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UNIT 3
Fundamental questions to be asked by the professor


  • Examples of AI integration in the classroom (I)

  • Examples of AI integration in the classroom (II)

  • The art of conversing with AI: design of the prompt

  • Virtual classroom AI Tools - ADI

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UNIT 4
Diagnosis and skill development in educational AI


  • presentation of the DigcompEdu competency adapted for IA

  • development of competencies: EurekAI at the University of Navarra.

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What you should know

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24/7 access to the course content through Adi

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No prior knowledge required

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Explanatory videos, infographics, readings, downloadable podcasts, and scientific publications

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assessment by submission of assignments at the end of each unit and final questionnaire .

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certificate submission at the end of the course (0, 5 ECTS credit).

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language Spanish

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Flexible methodology

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Testimonials

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If you want to take the course, apply for admission through the MiUnav portal . We will analyze your application and validate your candidacy.

If you need financial aid during the registration process you can contact through this link with the Academic management Service.

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