Chronicle of a scenario graph: From expected to observed learning path

2Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper proposes an analysis of student paths into the scenario graph for a learning game that uses a formal model of serious games understandable and usable by teachers. Screenwriting, implemented with a mental map, includes an expected path: the one that includes the most interesting nodes of the scenario graph from the point of view of the teacher, and achieves the training objectives. Through the analysis of the paths taken by the students, we will show the advantages and the benefits of this screenwriting. For that we indicate the different paths, the exit points (nodes presenting the case of abandonment of the student) and the various categories of paths (with achievement or nonachievement of training objectives). Finally, we propose solutions (tools and methods) to improve the reengineering process and the design of the scenario by the teachers.

Cite

CITATION STYLE

APA

Vermeulen, M., Mandran, N., & Labat, J. M. (2016). Chronicle of a scenario graph: From expected to observed learning path. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9891 LNCS, pp. 321–330). Springer Verlag. https://doi.org/10.1007/978-3-319-45153-4_24

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free