Developing a Pedagogical Intervention Support based on Bayesian Networks
Juan Pablo Martínez Bastida, Elena Gavrilenko, Andrey Gregorevich Chukhray · 2017
This paper proposes an approach for developing pedagogical interven- tions support in information technologies for education based on Bayesian net- works. In this paper, we show how the presented approach is able to automate pedagogical interventions in Model-tracing cognitive tutors (MTCTs). The paper discusses a novel Bayesian network topology to assess student’s mastery to pro- vide pedagogical interventions. Preliminary results to assess effectiveness of the proposed approach were obtained by implementing it in a MTCT called TITUS.