Implementation of Bioinformatics in Genomic Studies for High School Students with a Project Based Learning in the Digital and Biotechnology Era
Abstract
Bioinformatics constitutes a significant branch of biotechnology that integrates computational methodologies into its applications. This discipline holds substantial promise for the future, particularly within the healthcare sector, where it plays a pivotal role in genomic research, including the identification of novel therapeutic candidates. Despite its growing relevance, the field is still relatively unfamiliar to many stakeholders and the development of bioinformatics remains constrained by limited human resources. This activity is therefore intended to enhance awareness of bioinformatics and to increase the number of individuals equipped with the skills required to engage with this field. The program targets secondary level students and implements a project-based learning (PBL) approach, evaluated through both qualitative and quantitative measures. The qualitative methods are used to assess students’ capabilities in completing their project-based learning tasks. The quantitative methods are used to assess the effectiveness of the instructional material delivery by comparing pretest scores with posttest scores. Among 30 students, the pretest results showed an average score of 79.5, while the posttest results showed an average score of 91.2. This indicates an improvement in scores before and after the instruction. The combined evaluation demonstrates that students are capable of comprehending the subject matter and completing group based project assignments in an effective and timely manner. It is anticipated that, moving forward, a growing number of learners will acquire competency in bioinformatics, enabling its application to real world challenges and fostering the development of high impact scientific and technological innovations.
References
Amer, B., & Baidoo, E. E. K. (2021). Omics-driven biotechnology for industrial applications. Frontiers in Bioengineering and Biotechnology, 9. https://doi.org/10.3389/fbioe.2021.613307
Basmenj, E. R., Pajhouh, S. R., Ebrahimi Fallah, A., naijian, R., Rahimi, E., Atighy, H., Ghiabi, S., & Ghiabi, S. (2025). Computational epitope-based vaccine design with bioinformatics approach; A review. Heliyon, 11(1). https://doi.org/10.1016/j.heliyon.2025.e41714
Better Evaluation Knowledge. (2025). Purpose of combining data. Better Evaluation Knowledge. https://www.betterevaluation.org/frameworks-guides/rainbow-framework/describe/combine-qualitative-quantitative-data
Bourne, P. E. (2021). Is “bioinformatics” dead? PLoS Biology 19(3). Public Library of Science. https://doi.org/10.1371/JOURNAL.PBIO.3001165
Lim, W. M. (2025). What is qualitative research? An overview and guidelines. Australasian Marketing Journal, 33(2), 199–229. https://doi.org/10.1177/14413582241264619
Liu, Y., Chen, Y., & Han, L. (2023). Bioinformatics: Advancing biomedical discovery and innovation in the era of big data and artificial intelligence. Innovation Medicine, 1(1). https://doi.org/10.59717/j.xinn-med.2023.100012
Markula, A., & Aksela, M. (2022). The key characteristics of project-based learning: How teachers implement projects in K-12 science education. Disciplinary and Interdisciplinary Science Education Research, 4(1). https://doi.org/10.1186/s43031-021-00042-x
Ogunjobi, T. T., Ohaeri, P. N., Akintola, O. T., Atanda, D. O., Orji, F. P., Adebayo, J. O., Abdul, S. O., Eji, C. A., Asebebe, A. B., Shodipe, O. O., & Adedeji, O. O. (2024). Bioinformatics applications in chronic diseases: A comprehensive review of genomic, transcriptomics, proteomic, metabolomics, and machine learning approaches. Medinformatics. https://doi.org/10.47852/bonviewmedin42022335
Qizi, A. M. I. (2024). Project-based learning as a creative and innovative way of teaching english as a foreign language. University Research Base, 54–60. https://scholar.kokanduni.uz/index.php/rb/article/view/287
Rashid, M. H., & Sipahi, E. (2021). The importance of quantitative research in language testing and assessment: In the context of social works. Linguistics and Culture Review, 5(S1), 317-330. Schoonenboom, J. (2012). The fundamental difference between qualitative and quantitative data in mixed methods research. Forum Qualitative Sozialforschung/Forum: Qualitative Social Research, 24(1). 10.17169/fqs-24.1.3986
Segelbacher, G., Bosse, M., Burger, P., Galbusera, P., Godoy, J. A., Helsen, P., Hvilsom, C., Iacolina, L., Kahric, A., Manfrin, C., Nonic, M., Thizy, D., Tsvetkov, I., Veličković, N., Vilà, C., Wisely, S. M., conservation & Buzan, E. (2022). New developments in the field of genomic technologies and their relevance to management. Conservation Genetics, 13(2), 217–242. https://doi.org/10.1007/s10592-021-01415-5
Zhang, L., & Ma, Y. (2023). A study of the impact of project-based learning on student learning effects: A meta-analysis study. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1202728
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