Abstract
The continuous growth of artificial intelligence in the world and the consequent integration of this type of technology into the various economic sectors of societies seems to be triggering new relationships with machines, but also new ways of working. Education, as one of the most important sectors of a nation, can no longer escape this new reality of integrating this type of technology into teaching and learning processes. It is precisely because of this fact that this research emerges, which aims not to set aside or exclude this (r)evolution, but rather to consider them as important and useful tools for innovation in education, putting them at the service of this sector. In this sense, we believe that it is essential to carry out a study to identify and understand the main challenges in carrying out the process of assessing students in the age of artificial intelligence. A systematic review of the literature will be carried out, focusing only on the three years - the artificial intelligence boom - and through it we will try to identify the major challenges that educational agents, but especially teachers, face in assessing students, contributing to literacy in the area, but also to a serious debate on this issue that is already being discussed so much in educational institutions. The results suggest that there is a set of challenges that teachers have to deal with, which, according to the content analysis carried out, are related to authenticity, ethics and fraud.
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This work has been supported by FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05777/2020.
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Gonçalves, B.F., Patrício, M.R., Comiche, A. (2024). The Challenges of Learning Assessment in the Age of Artificial Intelligence. In: Rocha, Á., Adeli, H., Dzemyda, G., Moreira, F., Poniszewska-Marańda, A. (eds) Good Practices and New Perspectives in Information Systems and Technologies. WorldCIST 2024. Lecture Notes in Networks and Systems, vol 988. Springer, Cham. https://doi.org/10.1007/978-3-031-60224-5_3
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