AI Catalysing and Reformulating Innovation-Driven Education in ICT Engineering




Isoaho, Jouni; Tenhunen, Hannu; Ben Dhaou, Imed

Arabnia, Hamid R.; Deligiannidis, Leonidas; Amirian, Soheyla; Shenavarmasouleh, Farzan; Mohammadi, Farid Ghareh; Solo, Ashu M. G.

World Congress in Computer Science, Computer Engineering & Applied Computing

2026

 Communications in Computer and Information Science

Frontiers in Education, e-Learning, e-Business, Image Processing, and Computer Vision

2939

181

195

978-3-032-22201-5

978-3-032-22202-2

1865-0929

1865-0937

DOIhttps://doi.org/10.1007/978-3-032-22202-2_14

https://doi.org/10.1007/978-3-032-22202-2_14



The global business and innovation environment is rapidly evolving due to the rise of the platform economy, digital transformation, and the shift towards remote and hybrid work emphasizing personal innovation and entrepreneurship. Artificial intelligence is challenging students ability to innovate, learn and renew. In this paper, we concentrate on how AI is catalyzing and reformulating university learning from innovation perspective causing major attitudinal change throughout the whole engineering education. Our study consists of three core elements: innovation entrepreneurship, integrated innovation learning model and co-creation. The key idea is not teaching mechanically innovation process in single courses, we systematically feed students innovations throughout the curriculum in order to boost their ability to innovation with competitive attitude, but still co-creative manner.



Last updated on 02/06/2026 01:03:14 PM