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Integrating Artificial Intelligence into Educational Institutions: A Comprehensive Approach

11 pagesPublished: November 6, 2025

Abstract

Artificial Intelligence holds significant potential to transform education. Various studies reflect how specific solutions are implemented to cover specific needs, yet these solutions often remain disconnected. Additionally, the novelty of AI technology brings challenges in its adoption due to the lack of experience. In this context, a practical approach to adapting and adopting AI in educational institutions is essential.
This paper outlines the collaborative efforts of nine European institutions to develop adoption guidelines that facilitate the effective integration of AI in education. The project aims to foster a critical and reflective approach to AI implementation, enable meaningful adoption, generate new knowledge, and support educational leaders with a comprehensive toolkit for AI integration. The methodology involves creating practical guides, an online course, and disseminating information through various channels. The expected outcomes encompass the dissemination of shareable knowledge on AI utilization, the enhancement of teaching practices, and the establishment of a systematic approach to AI adoption. This project has been funded through the Erasmus KA-220 call.

Keyphrases: ai adoption, ai best practices, artificial intelligence (ai), erasmus project

In: Laurence Desnos, Raimund Vogl, Lazaros Merakos, Carmen Diaz, Janina Mincer-Daszkiewicz and Stuart Mclellan (editors). Proceedings of EUNIS 2025 annual congress in Belfast, vol 107, pages 293-303.

BibTeX entry
@inproceedings{EUNIS2025:Integrating_Artificial_Intelligence_into,
  author    = {Erika Constantino Aguilella and Joaquim Campuzano Puntí and Juan Antonio Martínez-Carrascal},
  title     = {Integrating Artificial Intelligence into Educational Institutions: A Comprehensive Approach},
  booktitle = {Proceedings of EUNIS 2025 annual congress in Belfast},
  editor    = {Laurence Desnos and Raimund Vogl and Lazaros Merakos and Carmen Diaz and Janina Mincer-Daszkiewicz and Stuart Mclellan},
  series    = {EPiC Series in Computing},
  volume    = {107},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/4d66},
  doi       = {10.29007/rdc6},
  pages     = {293-303},
  year      = {2025}}
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