Published 2021-09-17
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Methodological Guide For The Assessment Of Navigability In Virtual Learning Environments Implementing Graph Theory.

DOI: https://doi.org/10.22490/ECBTI.4786
Daniel Rincón León
Diego Aranda Lozano

AVA virtual learning environments are spaces designed by academic experts in which a series of contents and activities are developed in order for the student to understand and appropriate some skills, during the student's interaction with the virtual course, multiple records of use called LOGS that allow identifying the navigability of said user, when performing data analytics on this behavior through the implementation of graph theory, the trajectory of a student can be validated for the appropriation of concepts and development of activities, said behavior It can be evaluated qualitatively and quantitatively by implementing the Kurskan algorithm, which allows knowing the minimum use tree that a user must follow to interact with all the elements proposed in the design of the course.

keywords: Data analytics, Evaluation, Graphic Schema Theory, Kurkan's algorithm, Learning Management Systems LMS, Navigability, Virtual Learning Environments VLE
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How to Cite
Rincón León , D. ., & Aranda Lozano , D. . (2021). Methodological Guide For The Assessment Of Navigability In Virtual Learning Environments Implementing Graph Theory. Documentos De Trabajo ECBTI, 2(1). https://doi.org/10.22490/ECBTI.4786
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