Litcius/Paper detail

Digital twins and artificial intelligence

Marco Furini, Ombretta Gaggi, Silvia Mirri, Manuela Montangero, Elvira Pelle, Francesco Poggi, Catia Prandi

2022Communications of the ACM56 citationsDOIOpen Access PDF

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.

Topics & Concepts

Dropout (neural networks)ModalitiesComputer scienceMultimediaArtificial intelligenceMathematics educationHuman–computer interactionMachine learningPsychologySociologySocial scienceOnline Learning and AnalyticsE-Learning and Knowledge ManagementTechnology-Enhanced Education Studies
Digital twins and artificial intelligence | Litcius