IMPLEMENTING CDIO STANDARDS THROUGH CHALLENGE-BASED LEARNING: A CASE STUDY IN AI ENGINEERING EDUCATION

We present our experience with Challenge-Based Learning (CBL) within an AI project in ESPRIT School of Engineering's 3rd and 4th-year AI engineering curriculum. Spanning two academic years, it examines how CBL, aligned with CDIO standards, melds practical skills and AI theory. The approach includes theoretical AI knowledge, hands-on AI application development, and integrates the UN's Sustainable Development Goals to promote a sense of global responsibility and ethical consciousness in our students. Additionally, CBL involves collaboration with local entities, enhancing students' real-world skills. The study highlights CBL's effectiveness in fostering teamwork, communication, intercultural awareness, and creativity. Initial feedback shows increased student engagement and a comprehensive understanding of AI's societal implications. The paper discusses CBL's role in meeting CDIO standards in AI education, enhancing technical and transversal competencies, and concludes with potential broader applications and future recommendations. This research adds to the dialogue on innovative AI and engineering education methods.