2023
DOI: 10.2478/rem-2023-0014
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 we use decision trees as the classification algorithm. In designing this tool, we aim to overcome the use of economic, social, and cultural context indices as main factors for the prediction of a learning gap occur… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 28 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?