Searching for student intermediate mental steps

Vivien Robinet (1) , Gilles Bisson (2) , Mirta Gordon (2) , Benoît Lemaire (2)

1 TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
2 AMA - Analyse de données, Modélisation et Apprentissage automatique [Grenoble]

This paper presents a general method for identifying student intermediate mental steps from sequences of actions stored by problem solving-based learning environments, in order to provide feedback to teachers on knowledge that statistically seems to be used by a particular student. When many intermediate mental steps are possible, ambiguity is removed using what is already known about the student. The system uses a student model to search within a huge space of possible actions, and updates this student model consequently. The user model distinguishes between two different cognitive processes: (1) planning the action by focusing on a particular part of the environment and considering an action type and (2) performing the action.

Domaines: Environnements Informatiques pour l'Apprentissage Humain; Education; Intelligence artificielle [cs.AI]; Informatique

Vivien Robinet, Gilles Bisson, Mirta Gordon, Benoît Lemaire. Searching for student intermediate mental steps. 11th International Conference on User Modeling, 2007, Corfu, Greece. pp.35-39. ⟨hal-00372121⟩