Publications
2020
1.
Conde, Miguel Á; Sedano, Francisco J Rodríguez; Fernández, Camino; Fernández, Alexis Gutiérrez; Robles, Laura Fernández; Limas, Manuel Castejón
A Learning Analytics tool for the analysis of students’ Telegram messages in the context of teamwork virtual activities Artículo de revista
En: Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality, pp. 719–724, 2020.
Resumen | Enlaces | BibTeX | Etiquetas: instant messaging tools, learning analytics, online education, teamwork evaluation, telegram in education
@article{conde_learning_2020,
title = {A Learning Analytics tool for the analysis of students’ Telegram messages in the context of teamwork virtual activities},
author = {Miguel Á Conde and Francisco J Rodríguez Sedano and Camino Fernández and Alexis Gutiérrez Fernández and Laura Fernández Robles and Manuel Castejón Limas},
url = {https://dl.acm.org/doi/abs/10.1145/3434780.3436601},
year = {2020},
date = {2020-01-01},
journal = {Eighth International Conference on Technological Ecosystems for Enhancing Multiculturality},
pages = {719–724},
abstract = {In the current COVID-19 pandemic situation, online education has been the only approach of most educational institutions. It is necessary to have tools to assess students in online education, even when they carry out activities that are most common in face to face contexts such as teamwork. In order to do so, different methodologies and learning analytics tools can be employed. However, in a complete online context the students not only interact with the asynchronous tools that educational platforms provide but they also use instant messaging tools. This paper describes a Learning Analytics tool that facilitates teachers the evaluation of students’ interactions in Telegram Instant Messaging Tool. It has been employed in the context of the evaluation of the individual acquisition of teamwork competence. The tool has been tested in a computer science course. It had associated an improvement on students’ grades and they show their preference in using instant messaging tools because by using them conversations are more natural.},
keywords = {instant messaging tools, learning analytics, online education, teamwork evaluation, telegram in education},
pubstate = {published},
tppubtype = {article}
}
In the current COVID-19 pandemic situation, online education has been the only approach of most educational institutions. It is necessary to have tools to assess students in online education, even when they carry out activities that are most common in face to face contexts such as teamwork. In order to do so, different methodologies and learning analytics tools can be employed. However, in a complete online context the students not only interact with the asynchronous tools that educational platforms provide but they also use instant messaging tools. This paper describes a Learning Analytics tool that facilitates teachers the evaluation of students’ interactions in Telegram Instant Messaging Tool. It has been employed in the context of the evaluation of the individual acquisition of teamwork competence. The tool has been tested in a computer science course. It had associated an improvement on students’ grades and they show their preference in using instant messaging tools because by using them conversations are more natural.
2018
2.
Valentín, Rubén Olarte; Vidal, Rodolfo Múgica; García, Elisa Sainz; Elías, Fernando Alba; Robles, Laura Fernández
Analysis of the online interactions of students in the project management learning process Artículo de revista
En: International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding 12, pp. 743–750, 2018, (Publisher: Springer International Publishing).
Resumen | Enlaces | BibTeX | Etiquetas: discussion forums, learning analytics, project success, student collaboration, text mining
@article{olarte_valentin_analysis_2018,
title = {Analysis of the online interactions of students in the project management learning process},
author = {Rubén Olarte Valentín and Rodolfo Múgica Vidal and Elisa Sainz García and Fernando Alba Elías and Laura Fernández Robles},
url = {https://link.springer.com/chapter/10.1007/978-3-319-67180-2_73},
year = {2018},
date = {2018-01-01},
journal = {International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding 12},
pages = {743–750},
abstract = {This paper explores the use of discussion forums by students working on the same project and how it correlates with project success. It also examines the application of text mining techniques to identify issues in the learning process. The analysis, based on real data from students’ participation in project management tools, reveals a strong positive correlation between forum use frequency and project success. However, the limited vocabulary used by students complicates the classification of messages, despite the potential of text mining.},
note = {Publisher: Springer International Publishing},
keywords = {discussion forums, learning analytics, project success, student collaboration, text mining},
pubstate = {published},
tppubtype = {article}
}
This paper explores the use of discussion forums by students working on the same project and how it correlates with project success. It also examines the application of text mining techniques to identify issues in the learning process. The analysis, based on real data from students’ participation in project management tools, reveals a strong positive correlation between forum use frequency and project success. However, the limited vocabulary used by students complicates the classification of messages, despite the potential of text mining.