| KEYWORD |
EdTech: Development of Disciplinary Learning Paths with Machine Learning
Thesis in external company
keywords BLENDED TEACHING, E-LEARNING, MACHINE LEARNING
Reference persons ALFREDO BENSO
External reference persons Matteo Boero (Maieutical Labs)
Research Groups DAUIN - GR-19 - SYSTEM BIOLOGY GROUP - SYSBIO
Thesis type RESEARCH / EXPERIMENTAL
Description The research begins with a database of over 150 million tagged questions and answers collected over the course of five years in the fields of mathematics, Italian and Latin grammar, Italian and Latin literature. The purpose of the research is to evaluate the use of software that generates topic suggestions and learning paths for each student based on their performance at a given moment, with the goal of subsequently improving their performance.
Required skills Advanced Python programming
Deadline 18/10/2024
PROPONI LA TUA CANDIDATURA