ALAS-KA: a learning analytics extension for better understanding the learning process in the Khan Academy platform

e-Archivo Repository

Show simple item record

dc.contributor.author Ruipérez-Valiente, José A.
dc.contributor.author Muñoz Merino, Pedro José
dc.contributor.author Leony Arreaga, Derick Antonio
dc.contributor.author Delgado Kloos, Carlos
dc.date.accessioned 2021-01-13T10:56:33Z
dc.date.available 2021-01-13T10:56:33Z
dc.date.issued 2015-06-01
dc.identifier.bibliographicCitation Ruipérez-Valiente, J. A., Muñoz-Merino, P. J., Leony, D., & Delgado Kloos, C. (2015). ALAS-KA: A learning analytics extension for better understanding the learning process in the khan academy platform. Computers in Human Behavior, 47, 139-148
dc.identifier.issn 0747-5632
dc.identifier.uri http://hdl.handle.net/10016/31699
dc.description.abstract The Khan Academy platform enables powerful on-line courses in which students can watch videos, solve exercises, or earn badges. This platform provides an advanced learning analytics module with useful visualizations. Nevertheless, it can be improved. In this paper, we describe ALAS-MA, which provides an extension of the learning analytics support for the Khan Academy platform. We herein present an overview of the architecture of ALAS-KA. In addition, we report the different types of visualizations and information provided by ALAS-MA, which have not been available previously in the Khan Academy platform. ALAS-MA includes new visualizations for the entire class and also for individual students. Individual visualizations can be used to check on the learning styles of students based on all the indicators available. ALAS-MA visualizations help teachers and students to make decisions in the learning process. The paper presents some guidelines and examples to help teachers make these decisions based on data from undergraduate courses, where ALAS-MA was installed. These courses (physics, chemistry, and mathematics) for freshmen were developed at Universidad Carlos HI de Madrid (UC3M) and were taken by more than 300 students
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2014
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Learning analytics
dc.subject.other Architectures
dc.subject.other Decision making
dc.subject.other Visualizations
dc.subject.other Data processing
dc.title ALAS-KA: a learning analytics extension for better understanding the learning process in the Khan Academy platform
dc.type article
dc.subject.eciencia Telecomunicaciones
dc.identifier.doi https://doi.org/10.1016/j.chb.2014.07.002
dc.rights.accessRights openAccess
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 139
dc.identifier.publicationlastpage 148
dc.identifier.publicationtitle Computers in Human Behavior
dc.identifier.publicationvolume 47
dc.identifier.uxxi AR/0000015541
 Find Full text

Files in this item

*Click on file's image for preview. (Embargoed files's preview is not supported)


The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record