Delivering blended bioinformatics training in resource-limited settings: a case study on the University of Khartoum H3ABioNet node

Author:

Ahmed Azza E12,Awadallah Ayah A3,Tagelsir Mawada4,Suliman Maram A5,Eltigani Atheer6,Elsafi Hassan7,Hamdelnile Basil D1,Mukhtar Mohamed A8,Fadlelmola Faisal M1

Affiliation:

1. Center for Bioinformatics and Systems Biology, Faculty of Science, University of Khartoum, Khartoum, Sudan

2. Department of Electrical and Electronic Engineering, Faculty of Engineering, University of Khartoum, Sudan

3. Department of Zoology, Faculty of Science, University of Khartoum, Khartoum, Sudan

4. Department of Haematology and Immunohaematology, Faculty of Medical Laboratory Sciences, Ibn Sina University, Khartoum, Sudan

5. Department of Biology, Faculty of Medicine, Ibn Sina University, Khartoum, Sudan

6. Department of Medical Biotechnology, Commission for Biotechnology and Genetic Engineering, National Centre for Research, Khartoum, Sudan

7. Medicinal, Aromatic Plants and Traditional Medicine Research Institute, National Centre for Research, Khartoum, Sudan

8. Faculty of Pharmacy, Karary University, Omdurman, Sudan

Abstract

Abstract Motivation Delivering high-quality distance-based courses in resource-limited settings is a challenging task. Besides the needed infrastructure and expertise, effective delivery of a bioinformatics course could benefit from hands-on sessions, interactivity and problem-based learning approaches. Results In this article, we discuss the challenges and best practices in delivering bioinformatics training in resource-limited settings taking the example of hosting and running a multiple-delivery online course, Introduction to Bioinformatics, that was developed by the H3ABioNet Education and Training working group and delivered in 27 remote classrooms across Africa in 2017. We take the case of the University of Khartoum classrooms. Believing that our local setting is similar to others in less-developed countries, we also reflect upon aspects like classroom environment and recruitment of students to maximize outcomes.

Funder

National Institute of Health Common Fund

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Reference32 articles.

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