Since ChatGPT became popular at the end of 2022, the applications and uses of generative artificial intelligence have multiplied and education has faced an almost unprecedented challenge. This raises the question of how generative artificial intelligence can be used in the university educational context? Educational research has not yet addressed this issue in depth in Spain and, at an international level, publications show very few empirical studies, most of which are small-scale. The contribution of the EdU-InA project is established on two levels: (1) Helping teachers to make the most of generative AI for their teaching, adapting the curricula and assessment activities to the real needs of the labor market in which generative AI is used in different fields; and (2) help leaders adapt universities and prepare future professionals to effectively integrate generative AI, based on research and not on expectations, fears or misconceptions. To do this, EdU-InA is concretized in 2 general and 7 specific objectives:
- Analyze the educational practices of generative Artificial Intelligence in university teaching:
- Diagnose the level of knowledge and uses of generative AI by teachers.
- Identify the best teaching practices for each academic discipline where teachers applied generative AI.
- Describe the possibilities and challenges of incorporating generative AI into the curricula.
- Analyze the uses of generative AI by university students for education.
- Analyze policies and opinions on the implementation of generative Artificial Intelligence in university education:
- Analyze the discourses and opinions on the incorporation of generative AI in university education.
- Describe the current policies and strategies on the use of generative AI in universities.
- Design a roadmap to help universities implement generative AI efficiently, equitably, and ethically in university education. (SO2.3)
The methodology is established to address the phenomenon from a humanistic paradigm with a mixed method, combining quantitative and qualitative data, and collecting data from the different actors. The study will be carried out in 6 universities with representation from the various areas of Spain: Universitat Autònoma de Barcelona, Universidad Complutense de Madrid, Universidad de Granada, Universidad de Vigo, Universidad de León and Universitat Oberta de Catalunya. To meet the objectives, the interdisciplinary approach and the gender perspective, the selection of the samples is stratified by university, academic discipline and gender. The project will collect data through surveys (teachers and students), interviews and focus groups (teachers, experts and university leaders) and documentary analysis (strategies, policies and curricula). Ultimately, EdU-InA contributes to the digital transformation of educational organisations through knowledge of the uses of generative AI in higher education as well as understanding opinions and policies on AI and how it should be integrated effectively, ethically and equitably.