Personalized learning models can cut student dropout rates, boost student success, improve the integration of online and on-site students, better support teachers in mixed-teaching modalities, enhance accessibility, and more.

Digital Twins and Artificial Intelligence as Pillars of Personalized Learning Models

Poggi;Francesco;
2022

Abstract

Personalized learning models can cut student dropout rates, boost student success, improve the integration of online and on-site students, better support teachers in mixed-teaching modalities, enhance accessibility, and more.
2022
Inglese
65
4
98
104
https://doi.org/10.1145/3478281
Artificial Intelligence
Digital Twin
Personalized Learning Models
14
info:eu-repo/semantics/article
262
Furini, ; Marco, ; Gaggi, ; Ombretta, ; Mirri, ; Silvia, ; Montangero, ; Manuela, ; Pelle, ; Elvira, ; Poggi, Francesco; Poggi, Francesco; Prandi, ; C...espandi
01 Contributo su Rivista::01.01 Articolo in rivista
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/448594
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