Representation of learning in the post-digital: students’ dropout predictive models with artificial intelligence algorithms

Representation of learning in the post-digital: students’ dropout predictive models with artificial intelligence algorithms

Within scientific debate on post-digital and education, we present a position paper to describe a research project aimed at the design of a predictive model for students’ low achievements in mathematics in Italy. The model is based on the INVALSI data set, an Italian large-scale assessment test, and...

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Bibliographic Details
Main Authors: Zanellati Andrea, Macauda Anita, Panciroli Chiara, Gabbrielli Maurizio
Format: Article
Language:English
Published: Sciendo 2023-06-01
Series:Research on Education and Media
Subjects:
representation of learning
post-digital
low achievement
artificial intelligence algorithms
predictive model
Online Access:https://doi.org/10.2478/rem-2023-0014

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