ChatToCaseStudy: Case-Based Learning with the Support of an AI Chatbot
Project Number: 2024-1-BG01-KA220-HED-000249361
The ChatToCaseStudy project aims to transform higher education in the field of computer science by introducing an innovative learning approach supported by AI chatbots. The primary focus is on the disciplines of cybersecurity and data mining, where students learn by solving real-world case studies in a digital environment.
The main objective of the project is to create the conditions for the effective use of artificial intelligence in higher education through the development of a comprehensive methodology and a digital training tool. By integrating an AI chatbot, students will be encouraged to develop practical skills and solve real-life problems, while educators will gain access to new resources and teaching practices.
As a result of the project, the following outputs will be developed:
- A methodology for applying AI in case-based learning
- An AI chatbot to guide students in solving cases related to cybersecurity and data analysis
- Enhanced skills in problem-solving and working in digital environments
- A sustainable solution that will continue to evolve beyond the project’s lifetime
The project is implemented from October 1, 2024, to September 30, 2027, with a total funding of €400,000 under the Erasmus+ Programme, Key Action 2 – Cooperation Partnerships.
Project Partners:
- Technical University of Sofia (Coordinator)
- University of Aveiro (Portugal)
- Riga Technical University (Latvia)
- Sofia University “St. Kliment Ohridski”
- Democritus University of Thrace (Greece)
- ACTA Consulting Ltd.
Associated Partners:
- University of Aizu (Japan)
- University of Ruse “Angel Kanchev”
- Dr. Asen Zlatarov University – Burgas
PRESS RELEASE
Artificial Intelligence in Action: Case Studies in the Classroom
On June 25–26, 2025, a project meeting for ChatToCaseStudy (Project No. 2024-1-BG01-KA220-HED-000249361), funded under the Erasmus+ Programme, was held at Democritus University of Thrace – Kavala Campus, Greece, with the participation of representatives from all partner organizations. The meeting focused on the detailed discussion and further development of the ChatToCaseStudy methodology for applying AI tools in case-based learning in the fields of cybersecurity and data analytics.
At the core of the discussions was the development of a methodology aimed at educators, designed to facilitate and improve the effectiveness of formulating prompts for an AI chatbot. These prompts will generate a variety of learning activities based on real-world case problems, aligned with different cognitive levels as defined in Bloom’s Taxonomy.
The methodology will enable educators to:
- Create high-quality and relevant instructions for learners to solve case studies, based on the cognitive levels of Bloom’s Taxonomy (remembering, understanding, applying, analyzing, evaluating, creating);
- Engage students in interactive learning and the development of practical skills with the support of an AI chatbot.
The ChatToCaseStudy project aims to transform computer science education by providing educators with innovative tools and approaches, and offering students a dynamic, interactive, and real-world-oriented learning experience. The next phases of the project include the development and pilot testing of the AI chatbot and validation of the methodology in the partner higher education institutions.
For contact and more information:
Technical University of Sofia (Coordinator)
Email: ChatToCaseStudy@tu-sofia.bg
For more information and updates, follow the project on Facebook:
https://www.facebook.com/profile.php?id=61572458581684
