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.

Personalizing Technology-Enhanced Learning for Cultural Visits

Cesta A;Cortellessa G;De Benedictis R;Palombini A
2020

Abstract

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.
2020
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Istituto di Scienze del Patrimonio Culturale - ISPC
Inglese
Tsvi Kuflik, Ilaria Torre, Robin Burke, Cristina Gena
UMAP '20 Adjunct: Adjunct Publication of the 28th ACM Conference on User Modeling, Adaptation and Personalization
28th ACM International Conference on User Modeling, Adaptation, and Personalization (UMAP 2020)
333
339
978-1-4503-6711-0
http://www.scopus.com/record/display.url?eid=2-s2.0-85089277578&origin=inward
ACM - Association for Computing Machinery
New York
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
12-18/07/2020
Genoa, Italy
Artificial Intelligence
Educational Technology
Personalization
AI Modules Integration
Cultural Heritage
8
restricted
Cesta, A; Cortellessa, G; De Benedictis, R; De Medio, C; Limongelli, C; Sciarrone, F; Tassarotti, G; Palombini, A
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/401192
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