Publication: ALAS-KA: a learning analytics extension for better understanding the learning process in the Khan Academy platform
Loading...
Identifiers
Publication date
2015-06-01
Defense date
Advisors
Tutors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Impact
Export
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
Description
Keywords
Learning analytics, Architectures, Decision making, Visualizations, Data processing
Bibliographic citation
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