Rubric-based Learner Modelling via Noisy Gates Bayesian Networks for Computational Thinking Skills Assessment

In modern and personalised education, there is a growing interest in developing learners’ competencies and accurately assessing them. In a previous work, we proposed a procedure for deriving a learner model for automatic skill assessment from a task-specific competence rubric, thus simplifying the i...

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Bibliographic Details
Main Authors: Giorgia Adorni, Francesca Mangili, Alberto Piatti, Claudio Bonesana, Alessandro Antonucci
Format: Article
Language:English
Published: Croatian Communications and Information Society (CCIS) 2023-03-01
Series:Journal of Communications Software and Systems
Subjects:
Online Access:https://jcoms.fesb.unist.hr/10.24138/jcomss-2022-0169/