COVID-19 pandemic: Lessons learned for undergraduate research training.
Kamariah IbrahimAzlina Ahmad-AnnuarPublished in: Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology (2022)
This article reports a session from the virtual international 2021 IUBMB/ASBMB workshop, "Teaching Science on Big Data." The awareness of using publicly available research data sets for undergraduate training is low in certain parts of the world. Final year projects always revolve around wet-lab based projects. The challenges occur during COVID-19 pandemic when it forces full lockdown to the nation, but at the same time faculty members need to provide consistent training to the students and projects to work with. We aim to identify supervisors in the faculty that are ready to convert their proposed project from wet-lab to an online-based project. As coordinators of the course we created an online survey to identify projects that can be converted into dry-lab/online projects. Our surveys identified only 32.5% projects implemented dry-lab/online based projects. Most academicians described that they are not ready or familiar to apply changes for their research design. With the unknown future of the world living with COVID-19 and directional changes of life science research toward big data driven research indeed we should be ready to adopt such changes. Awareness on reusing public data sets as tools for research should be provided to strengthen undergraduate training. Life science undergraduates should be exposed to reusing public data sets as these materials are readily available case studies that allow in depth exploration to answer specific research questions. Members of the faculty should take part to pave the way for them, ensuring that they understand that life science research revolves around a multidisciplinary field.
Keyphrases
- quality improvement
- big data
- medical education
- medical students
- public health
- artificial intelligence
- machine learning
- electronic health record
- healthcare
- virtual reality
- nursing students
- social media
- mental health
- sars cov
- coronavirus disease
- health information
- cross sectional
- emergency department
- adverse drug
- transcranial direct current stimulation
- high intensity
- optical coherence tomography
- current status