Understanding generative artificial intelligence (GAI), its strengths and weaknesses, ethical use and trustworthiness is becoming an essential part of many professions. The goal of the project is to design and verify an educational model covering these needs and based on the integration of GAI tools into the educational process for students (while learning), teachers (in preparation for teaching) and future employees (in the work process) through a series of courses, methodologies and workshops.
- The introductory activity is aimed at understanding of artificial intelligence by non-IT university students and teachers.
- The second activity deals with the integration of GAI into selected non-IT specializations and describes the use of GAI functionalities for teachers.
- The third activity is devoted to the use of GAI in teaching programming and writing programs in practice.
- The last activity is aimed at a deeper understanding of technologies and their use in creating own applications.
The main output of the project is a created and validated educational model consisting of a set of online courses focused on the AI and GAI and created in accordance with the innovations integrated into the own educational system. It includes capacity building for non-IT specializations, training teachers to use GAI in education, building highly specialized programming skills and skills for GAI innovations. It supports the development of digital literacy, innovation and inclusive education.
Project Aims
1200+
involved participants
1000+
educational units
150+
programming competition participants
9
courses
- Demystifying AI for non-IT students
- The courses present the core concepts of AI in clear, easy-to-understand language, complete with examples to make them accessible to non-technical students. They cover practical applications, ethical considerations, and real-world examples to help students understand the impact of AI in various fields.
- Building AI skills for university teachers and researchers
- The course for university teachers is focused on finding out when AI is truly beneficial in solving problems. Since many participants in this group have limited or no knowledge of AI, they often try to use it without thinking deeply, even in inappropriate situations.
- Using generative AI in programming
- Generative AI is an important tool in modern programming, enabling developers to write efficient and secure code faster and solve unknown problems. The courses cover common best practices that help programmers debug, update old code, and better understand existing code.
- Using generative AI in teaching and learning programming
- Preparing programming assignments and teaching methodologies is time-consuming. Generative AI assists teachers by creating assignments, developing teaching strategies, providing personalized feedback, and enabling adaptive learning environments to enhance student engagement.
- Understanding the technologies behind generative AI
- The highly specialized skills course offers an in-depth review of GAI architectures, models, and applications. It covers the workings of generative models, their limitations, and ethical issues, while incorporating advanced tools such as neural networks and deep learning.
- Sharing educational content
- The created content is shared with university partners, who distribute it to students and colleagues across AI and GAI topics. Based on feedback and learning outcomes, it is revised twice before being released as open-access material for effective teaching and learning.
- International feedback & experience exchange
- The project promotes collaboration and knowledge sharing in AI education across different university areas. By involving experts from different disciplines, it demystifies AI and improves its practical use for non-IT professionals through continuous exchange of experiences and strategy refinement.
- High-quality educational resources in a user-friendly online virtual environment
- The project creates engaging, accessible, and well-structured online courses for AI and GAI learning. The platform ensures a seamless user experience with interactive content, real-world case studies, and AI-powered learning tools to support diverse learners.