Comparison of tools for the creation of VLO for the subject of Algorithms. UTN case

This paper compares the performance of three authoring tools, eXeLearning, H5P and Xerte, used to create Virtual Learning Objects (VLOs). The research stems from the need to identify the most appropriate tool for creating VLOs. The study aimed to evaluate these tools through an objective comparison based on 15 pre-defined criteria. For this purpose, a methodological approach of the UP4VED methodology for virtual environments was used in addition to implementing the ADDIE methodology for developing VLOs. The results showed that eXeLearning achieved the highest score with 10.38 points, followed by Xerte with 8.83 and H5P with 7.74. Subsequently, DeLone & McLean's success model was applied to assess students' perceptions of using OVAs in an online course, with a minimum favourability index of 81.92% for quality of service and a maximum of 92.80% for quality of information. These results confirm the acceptability and effectiveness of OVAs as digital resources that enhance self-learning in educational environments.

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Publication Details

Journal
Data & Metadata
Published
2025-03-28
DOI
https://doi.org/10.56294/dm2025771
Primary Topic
Wireless Sensor Networks for Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparison of tools for the creation of VLO for the subject of Algorithms. UTN case

Fausto Salazar-Fierro, Irving Reascos, Carpio A. Pineda-Manosalvas, Cayo León et al.
Data & Metadata
Wireless Sensor Networks for Data Analysis
article

Comparison of tools for the creation of VLO for the subject of Algorithms. UTN case

Fausto Salazar-Fierro, Irving Reascos, Carpio A. Pineda-Manosalvas, Cayo León, Karla Herrera-Mayorga
article en

Abstract

This paper compares the performance of three authoring tools, eXeLearning, H5P and Xerte, used to create Virtual Learning Objects (VLOs). The research stems from the need to identify the most appropriate tool for creating VLOs. The study aimed to evaluate these tools through an objective comparison based on 15 pre-defined criteria. For this purpose, a methodological approach of the UP4VED methodology for virtual environments was used in addition to implementing the ADDIE methodology for developing VLOs. The results showed that eXeLearning achieved the highest score with 10.38 points, followed by Xerte with 8.83 and H5P with 7.74. Subsequently, DeLone & McLean's success model was applied to assess students' perceptions of using OVAs in an online course, with a minimum favourability index of 81.92% for quality of service and a maximum of 92.80% for quality of information. These results confirm the acceptability and effectiveness of OVAs as digital resources that enhance self-learning in educational environments.

Data & MetadataVol. 4
National University of San Marcos (PE), Universidad Técnica del Norte (EC)
Openalex Percentile: Top 94%
Wireless Sensor Networks for Data Analysis
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