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...
Main Authors: | , , , , |
---|---|
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/ |