Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Angelino, F. J., Loureiro, S. M. C. & Bilro, R.G. (2021). Analysing students’ engagement in higher education through transmedia and Learning Management Systems: a text mining approach. International Journal of Innovation and Learning. 30 (4), 484-502
Exportar Referência (IEEE) 
F. J. Angelino et al.,  "Analysing students’ engagement in higher education through transmedia and Learning Management Systems: a text mining approach", in Int. Journal of Innovation and Learning, vol. 30, no. 4, pp. 484-502, 2021
Exportar BibTeX 
@article{angelino2021_1713985489132,
	author = "Angelino, F. J. and Loureiro, S. M. C. and Bilro, R.G.",
	title = "Analysing students’ engagement in higher education through transmedia and Learning Management Systems: a text mining approach",
	journal = "International Journal of Innovation and Learning",
	year = "2021",
	volume = "30",
	number = "4",
	doi = "10.1504/IJIL.2021.118875",
	pages = "484-502",
	url = "https://www.inderscience.com/jhome.php?jcode=ijil"
}
Exportar RIS 
TY  - JOUR
TI  - Analysing students’ engagement in higher education through transmedia and Learning Management Systems: a text mining approach
T2  - International Journal of Innovation and Learning
VL  - 30
IS  - 4
AU  - Angelino, F. J.
AU  - Loureiro, S. M. C.
AU  - Bilro, R.G.
PY  - 2021
SP  - 484-502
SN  - 1471-8197
DO  - 10.1504/IJIL.2021.118875
UR  - https://www.inderscience.com/jhome.php?jcode=ijil
AB  - This research aims to explore how students’ engagement can be promoted through transmedia
using a set of activities within the Moodle Learning Management System for a syllabus topic
about innovation, during a full semester. The analysis of case studies, the writing of essays, or
the participation in an online forum were among the performed activities by a group of eightyone university students in their senior year. To perform the data analysis, we followed a mixedmethod approach between descriptive statistics, data mining analysis based on the open-source
software Orange and a final questionnaire. The results achieved reveal that students’
engagement tends to increase by participating in the online forum and by performing some of
the proposed tasks which required extensive information search from various media sources. 
ER  -