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Updated: Aug 12, 2025

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
Published on: November 15, 2024
E-learning strategies from a bioinformatics postgraduate programme to improve student engagement and completion rate
Andrés Garzón1, Alejandro Rubio1, Antonio J Pérez-Pulido1
1Andalusian Centre for Developmental Biology (CABD, UPO-CSIC-JA), Department of Molecular Biology and Biochemical Engineering, Faculty of Experimental Sciences, University Pablo de Olavide, Seville 41013, Spain.
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.
Availability And Implementation:
All data and results for this article are available in the figures and supplementary files. The current syllabus (Supplementary File S7) and other details of the course are available at: https://www.upo.es/postgrado/Diploma-de-Especializacion-Analisis-Bioinformatico and https://www.upo.es/postgrado/Master-Analisis-Bioinformatico-Avanzado.
Supplementary Information:
Supplementary data are available at Bioinformatics Advances online.
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