Framework for Learner Assessment in Learning Games

Abstract : Learner assessment in learning games (LG) is an interesting research area for both academia and industry. The play traces resulting from the learner’s activity in LGs with large state spaces and a large amount of free interactions, are hard to analyze and to interpret by teachers. In this paper, we present a framework to assist the building of an expert’s solving process that is the base of the algorithm that analyzes player’s traces and generates pedagogical labels about the learner’s behavior.
Document type :
Conference papers
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01359636
Contributor : Mathieu Muratet <>
Submitted on : Friday, September 2, 2016 - 6:18:50 PM
Last modification on : Tuesday, April 16, 2019 - 10:23:13 AM

Identifiers

Citation

Mathieu Muratet, Amel Yessad, Thibault Carron. Framework for Learner Assessment in Learning Games. 11th European Conference on Technology Enhanced Learning, Sep 2016, Lyon, France. pp.622-626, ⟨10.1007/978-3-319-45153-4_77⟩. ⟨hal-01359636⟩

Share

Metrics

Record views

219