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Vol. 15 No. 2 (2024): Artificial Intelligence in Schools and University Education: Risks and Opportunities

AI and Feedback. Assessing written tasks in Higher Education through human and artificial agent interaction

DOI
https://doi.org/10.3280/ess2-2024oa18951
Submitted
dicembre 4, 2024
Published
2025-01-31

Abstract

Automated feedback, made possible by advanced technological tools such as artificial intelligence, represents an emerging frontier to overcome some of the traditional challenges related to the customisation and scalability of the assessment process, especially in large classes. In Italy, despite growing interest at European level, the adoption of digitally supported assessment remains limited and presents numerous challenges. These critical issues underline the urgency of promoting the professional development of teachers through training courses aimed at integrating automated feedback into teaching practice, in order to enhance the transformative potential of these tools. It is in this context that PRIN “AI&F” has emerged, which aims to define a methodology for using an open-source machine learning framework to support teachers in providing high quality feedback to large groups of students, generating interactive and transformative pathways in an ecosystem logic. The paper presents current research progress and outlines future development perspectives.

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