Contributo in atti di convegno, 2020, ENG, 10.1145/3386392.3399278

Personalizing Technology-Enhanced Learning for Cultural Visits

Cesta A.; Cortellessa G.; De Benedictis R.; De Medio C.; Limongelli C.; Sciarrone F.; Tassarotti G.; Palombini A.

Cnr - Italian National Research Council, Istc, Roma, CNR - Italian National Research Council, ISTC, Roma, Italy, , Italy; Roma Tre University, Dia, Roma, Roma Tre University, DIA, Roma, Italy, , Italy

The personalized fruition of cultural heritage, especially with the health crisis we are currently experiencing, poses challenges to the learning and educational processes that could benefit from the use of intelligent tools. By emphasizing the interactivity of the learning process, in particular, the recent Technology Enhanced Learning (TEL) methodologies can represent an enabling factor for the construction of the common knowledge. This paper pursues the idea of integrating different heterogeneous artificial intelligence techniques for the personalized administration of stimuli in a dynamic learning environment. With this in mind, this paper describes a system, called WikiTEL and its first instantiation to Cultural Heritage visits in the Matera city.

28th ACM International Conference on User Modeling, Adaptation, and Personalization (UMAP 2020), pp. 333–339, Genoa, Italy, 12-18/07/2020

Keywords

Artificial Intelligence, Educational Technology, Personalization, AI Modules Integration, Cultural Heritage

CNR authors

Cortellessa Gabriella, Palombini Augusto, De Benedictis Riccardo, Cesta Amedeo

CNR institutes

ISTC – Istituto di scienze e tecnologie della cognizione, ISPC – Istituto di Scienze del Patrimonio Culturale