Modern educational systems have not really evolved enough to meet the needs of modern students. No wonder, the percentage of dropouts from university studies is quite high (40% in the U.S. and 10% in Europe). The university student profile has changed over the years. While yesterday's students were mainly full-time, today's students face challenges such as work commitments, family obligations, financial constraints, physical impairments, and learning models that do not adequately engage students or help them understand core concepts. One might think that this issue concerns only those who fail to complete their studies, but this is view is shortsighted. Today's educational system deficiencies will affect the welfare of tomorrow's society.

Furini, M., Gaggi, O., Mirri, S., Montangero, M., Pelle, E., Poggi, F., et al. (2022). Digital Twins and Artificial Intelligence as Pillars of Personalized Learning Models. COMMUNICATIONS OF THE ACM, 65(4), 98-104 [10.1145/3478281].

Digital Twins and Artificial Intelligence as Pillars of Personalized Learning Models

Silvia Mirri;Francesco Poggi
Penultimo
;
Catia Prandi
Ultimo
2022

Abstract

Modern educational systems have not really evolved enough to meet the needs of modern students. No wonder, the percentage of dropouts from university studies is quite high (40% in the U.S. and 10% in Europe). The university student profile has changed over the years. While yesterday's students were mainly full-time, today's students face challenges such as work commitments, family obligations, financial constraints, physical impairments, and learning models that do not adequately engage students or help them understand core concepts. One might think that this issue concerns only those who fail to complete their studies, but this is view is shortsighted. Today's educational system deficiencies will affect the welfare of tomorrow's society.
2022
Furini, M., Gaggi, O., Mirri, S., Montangero, M., Pelle, E., Poggi, F., et al. (2022). Digital Twins and Artificial Intelligence as Pillars of Personalized Learning Models. COMMUNICATIONS OF THE ACM, 65(4), 98-104 [10.1145/3478281].
Furini, Marco; Gaggi, Ombretta; Mirri, Silvia; Montangero, Manuela; Pelle, Elvira; Poggi, Francesco; Prandi, Catia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/879245
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