Digital Twins and Artificial Intelligence: as Pillars of Personalized Learning Models.

Autor: FURINI, MARCO, GAGGI, OMBRETTA, MIRRI, SILVIA, MONTANGERO, MANUELA, PELLE, ELVIRA, POGGI, FRANCESCO, PRANDI, CATIA
Předmět:
Zdroj: Communications of the ACM; Apr2022, Vol. 65 Issue 4, p98-104, 6p, 3 Diagrams
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index