Evaluation of a learning analytics application for open edX platform

Author:

Ruipérez-Valiente José1,Muñoz-Merino Pedro2,Pijeira Díaz2,Santofimia Ruiz2,Kloos Carlos2

Affiliation:

1. Universidad Carlos III de Madrid, Leganés, Madrid, Spain + IMDEA Networks Institute, Leganés, Madrid, Spain

2. Universidad Carlos III de Madrid, Leganés, Madrid, Spain

Abstract

Massive open online courses (MOOCs) have recently emerged as a revolution in education. Due to the huge amount of users, it is difficult for teachers to provide personalized instruction. Learning analytics computer applications have emerged as a solution. At present, MOOC platforms provide low support for learning analytics visualizations, and a challenge is to provide useful and effective visualization applications about the learning process. At this paper we review the learning analytics functionality of Open edX and make an overview of our learning analytics application ANALYSE. We present a usability and effectiveness evaluation of ANALYSE tool with 40 students taking a Design of Telematics Applications course. The survey obtained very positive results in a system usability scale (SUS) questionnaire (78.44/100) in terms of the usefulness of visualizations (3.68/5) and the effectiveness ratio (92/100) of the actions required for the respondents. Therefore, we can conclude that the implemented learning analytics application is usable and effective.

Publisher

National Library of Serbia

Subject

General Computer Science

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1. The Value of Learning Analytics in Educational Settings and Future Directions;Advances in Early Childhood and K-12 Education;2023-12-29

2. Delving into instructor‐led feedback interventions informed by learning analytics in massive open online courses;Journal of Computer Assisted Learning;2023-03-06

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4. Denoising autoencoder-based imputation of Harvard-MITx person-course dataset;2nd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2022);2022-11-11

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