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Título: | E-learning strategies from a bioinformatics postgraduate programme to improve student engagement and completion rate |
Autor: | Garzón, Andrés CSIC ORCID; Rubio, Alejandro CSIC ORCID; Pérez-Pulido, Antonio J. CSIC ORCID | Fecha de publicación: | 2022 | Editor: | Oxford University Press | Citación: | Bioinformatics Advances 2(1): vbac031 (2022) | Resumen: | [Motivation]: E-learning is the standard solution adopted in transnational study programmes for which multiple face-to-face learning places are not an option. Bioinformatics is compatible with e-learning because its resource requirements are low. Online learning, however, is usually associated with high dropout rates because students start from a very low computational level and/or they need support to conduct practical analyses on their own. [Results]: In this article, we analyse the academic results of an online bioinformatics educational programme based on learning communities. The programme has been offered by the Spanish Pablo de Olavide University for more than 5 years with a completion rate of close to 90%. Learning bioinformatics requires technical and operational competencies that can only be acquired through a practical methodology. We have thus developed a student-centred and problem-based constructivist learning model; the model uses faculty and peer mentoring to drive individual work and retain students. Regarding our innovative learning model, the recruitment level (i.e. the number of applicants per available places and international origin), the results obtained (i.e. the retention index and learning outcomes) as well as the satisfaction index expressed by students and faculty lead us to regard this programme as a successful strategy for online graduate learning in bioinformatics. |
Versión del editor: | http://dx.doi.org/10.1093/bioadv/vbac031 | URI: | http://hdl.handle.net/10261/305725 | DOI: | 10.1093/bioadv/vbac031 | Identificadores: | doi: 10.1093/bioadv/vbac031 e-issn: 2635-0041 |
Aparece en las colecciones: | (CABD) Artículos |
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E-learning strategies_Garzón_PV_Art2022.pdf | 1,41 MB | Adobe PDF | Visualizar/Abrir |
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