Foundations of Generative Artificial Intelligence for the Development of Teaching in Higher Education (EHU)
Description
The microcredential “Foundations of Generative Artificial Intelligence for the Development of Teaching in Higher Education (EHU)” is an online training programme aimed at university faculty members. It is designed to provide conceptual, regulatory, ethical, and applied knowledge on the use of generative AI within the academic context.
The programme is structured into four modules addressing the functioning and limitations of AI, the regulatory and institutional governance framework, the ethical and pedagogical principles guiding its integration into teaching, and the use of AI tools for course planning, material development, and research on one’s own teaching practice.
The training combines theoretical foundations with practical application, promoting a critical, responsible, and strategic use of AI aligned with academic quality, educational innovation, and the institutional policies of UPV/EHU.
Objectives
To provide university faculty with a comprehensive understanding of generative Artificial Intelligence and its impact within the academic context.
To promote the ethical, critical, and responsible use of AI in university teaching, in alignment with regulatory frameworks and institutional policies.
To foster the strategic integration of AI tools into course planning and into the improvement of teaching and research practice.
Learning outcomes and type of achievement
Understand what generative Artificial Intelligence is and its limitations in the university context.
Use AI ethically and responsibly in teaching.
Apply AI tools to improve course planning and teaching practice.
Access prerequisites and admission criteria
No specific prior knowledge is required to enrol in the microcredential. The programme is open to university faculty interested in getting started with the use of generative Artificial Intelligence in the academic context.
Required age: between 25 and 64 years old (during the activity period).
Level of learning experience according to EQF European Qualifications Framework
Level 6 of the European Qualifications Framework (EQF), equivalent to Bachelor’s level (MECES 2).
ESCO, European Skills, Competences, Qualifications and Occupations competency frameworks
S.1.3 Teaching and training
S.1.3.0 Conduct educational activities
Evaluation tests
- Written evaluations: 1. Multiple Choice Examinations
- Written evaluations: 2. Evidence which is considered true/false
Activity directed to
- All public
- Teachers
- Professionals
Organised by
In collaboration with
Directors
Urtza Garay Ruiz
UPV/EHU , Directora de Innovación Metodológica
.
Nerea Toledo Gandarias
UPV/EHU
Dr. Nerea Toledo is Full Proffesor and Director of Digital Transformation at EHU. She is Telecommunications Engineer (2007) from the EHU and International PhD (2012). Her doctoral thesis received the Extraordinary Doctorate Award granted by the EHU. Since November 2008 she works as a professor and researcher at the EHU, initially in the Department of Electronics and Telecommunications and later in the Dept. of Graphic Expression and Engineering Projects. From 2016 to 2025 Nerea was the Academic Secretary of said department. Nerea has been the coordinator of the Master in Project Management. Nerea develops her research activity in the research group I2T (http://i2t.ehu.es/). She has co-directed 4 doctoral theses and numerous Master and Degree Final Projects and has participated in European, national and regional research projects. She currently has 51 publications indexed in SCOPUS and 40 in ISI WOS and several publications in relevant congresses of the research area in which it carries out her work, indexed in SCOPUS and INSPEC. She has two 6-year research periods. Nerea's main lines of research are cybersecurity and the application of AI in different environments. She is also de main researcher of several Erasmus+ projects
Speakers
José Antonio Castaño Irazabal
Javier Gila Rodriguez
Iker Karkokli Iturrioz
Usue Mori Carrascal
Unviersidad del Pais Vasco. EHU
Usue Mori obtained a Bachelors degree in Mathematics and a PhD in Computer Engineering from the University of Basque Country UPV/EHU in 2010 and 2015 respectively. She completed a master's degree in Applied Mathematics, Statistics and Computing and a master's degree in Computer Engineering and Intelligent Systems in 2011 and 2013, respectively. Currently, she is an associate professor in the Department of Computer Science and Artificial Intelligence at the University of the Basque Country UPV/EHU and teaches various subjects in the field of mathematics, statistics and machine learning. As research merits, it should be noted that she has participated in more than 20 projects of regional, state and European calls, being IP in four of these projects. She has published 18 articles in JCR journals, 12 of them located in the first quartile and she also has 4 contributions in national and international conferences. She has also participated in 6 R&D contracts with companies of the private industrial and public sector, being IP the most recent. In addition, she has co-directed two doctoral theses and today she co-directs 3 doctoral theses with other researchers.
Registration fees
If the microcredential has already started there will be no refund of the enrolment fee.
| Registration | Until 25-05-2026 |
|---|---|
| 0 EUR |
Venue
Online
Online
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