Implementation of Bioinformatics Learning in Senior High School: A Systematic Review

Indah Juwita Sari, R Ahmad Zaky El Islami, Roswanna Safkolam


This study aimed to analyze the implementation of bioinformatics learning in senior high school from research articles. A systematic review was conducted in this study and showed the findings of relevant studies about the implementation of bioinformatics learning in senior high school. Three journals used for a systematic review: PLOS Computational Biology, Briefing Bioinformatics, and CBE-Life Science Education. A total of nine papers were included in the systematic review from 166 articles screened by criteria; bioinformatics learning or bioinformatics education at the senior high school level, published from 2010 to 2019. The result of this study is the trend of learning outcomes of bioinformatics learning at senior high school is to increase cognitive or knowledge in the Biology field, especially molecular biology (67%). The trend for the type of assessment in bioinformatics learning at senior high school is the observation to assess the learning outcome (44%). The trend of contents in bioinformatics learning used Biology, computer science, and information technologies (100%). The trend of bioinformatics tools in bioinformatics learning at senior high school is BLAST (44%). The trend of teaching strategy to implement bioinformatics learning at senior high school is inquiry and problem-based learning (each teaching strategy is 22%). The last is the trend of the period in implementing bioinformatics learning at senior high school is three periods in each topic (33%). For further study, the trend of implementation of bioinformatics learning can be integrated to design the new framework for implementing bioinformatics learning at senior high school. These findings recommended that science teachers or science educators promote bioinformatics learning at senior high schools.


Bioinformatics Learning; Senior High School; Systematic Review

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Bloom, M. (2001). Biology in silico: the bioinformatics revolution. Am. Biol. Teach. 63, 397– 402.

Bokor, J. R., J. B. Landis., and K. J. Crippen. 2014. High School Students’ Learning and Perceptions of Phylogenetics of Flowering Plants. CBE-Life Science Education. Vol. 13, 653-665.

Chen MM, Scott SM and Stevens JD. 2017. Technology as a tool in teaching quantitative biology at the secondary and undergraduate levels: a review. Letter in Biomathematics. 5(1), 30-48.

Gallagher, S.R., W. Coon, K. Donley, A. Scott, D.S. Goldberg. (2011). A First Attempt to Bring Computational Biology into Advanced High School Biology Classrooms. PLOS Computational Biology, 7(10): 1-7.

Howard DR, Miskowski JA, Grunwald SK, and Abler ML. 2017. Assessment of a Bioinformatics across Life Science Curricula Initiative. Biochemistry and Molecular Biology Education, 35 (1), pp. 16 –23.

Huerta. M.,F. Haseltine., Y. Liu., G. Downing., & B. Seto. (July 17, 2000). NIH working definition of bioinformatics and computational biology. Retrieved November, 2019, from http://www.bisti.

Incantalupo, L., Treagust, D. F., & Koul, R. (2014). Measuring student attitude and knowledge in technology-rich biology classrooms. Journal of Science Education and Technology, 23(1), 98–107.

Khan, KS., Kunz, R., Kleijnen, J., and Antes, G. (2003). Five steps to conducting a systematic review. JOURNAL OF THE ROYAL SOCIETY OF MEDICINE. 96, pp. 118-121

Kovarik DN, Patterson DG, Cohen C, Sanders EA, Peterson KA, Porter SG, and Chowning JT. 2013. Bioinformatics Education in High School: Implications for Promoting Science, Technology, Engineering, and Mathematics Careers. Life Science Education. Vol. 12, 441-459.

Lark, A., G. Richmond., L.S. Mead, J.J. Smith and Robert T. 2018. Exploring the Relationship between Experiences with Digital Evolution and Students' Scientific Understanding and Acceptance of Evolution. The American Biology Teacher, 80(2):74-86.

Machluf Y and Yarden A. 2013. Integrating bioinformatics into senior high school: design principles and implications. Briefings in bioinformatics, 14(5), 648-660.

Machluf Y, Gelbart H, Dor SB and Yarden A. 2017. Making authentic science accessible—the benefits and challenges of integrating bioinformatics into a high-school science curriculum. Briefings in bioinformatics, 18(1), 145-159.

Marques, I., P. Almeida, R. Alves., M. J. Dias., A. Godinho., J. B. P. Leal. 2014. Bioinformatics Projects Supporting Life-Sciences Learning in High Schools. PLOS Computational Biology, 10(1): 1-6.

National Center for Biotechnology Information [NCBI]. (2007, January 11). A Science Primer: Bioinformatics. Retrieved November, 2019, from

Porter, S.G., J. Day., R.E. McCarty., A. Shearn., R. Shingles., L. Fletcher., S. Murphy., and R. Pearlman. (2017). Exploring DNA Structure with Cn3D. CBE-Life Science Education. Vol 6, 65-73.

Prince, M.J., R.M. Felder. (2016). Inductive Teaching and Learning Methods: Definitions, Comparisons, and Research Bases. Journal of Engineering Education. 123-138.

Rueda, A.J.V., G. I Benı´tez., J. MarchettiI., M. A. Hasenahuer., M. S. Fornasari, N. Palopoli, G. Parisi. 2019. Bioinformatics calls the school: Use of smartphones to introduce Python for bioinformatics in high schools. PLOS Computational Biology, 15(2): 1-9.

Schneider, M.V and R. C. Jimenez. (2012). Teaching the Fundamentals of Biological Data Integration Using Classroom Games. PLOS Computational Biology, 8(12): 1-8.

Stevens, T.J and W. Boucher. (2015). Python Programming for Biology Bioinfromatics and Beyond. Cambridge University Press.

Syngai, G.G., P. Barman., R. Bharali.,& S. Dey. (2013). BLAST: An introductory tool for students to Bioinformatics Applications. Keanean Journal of Science. Vol. 2: 67-76.

VanMeter-Adams, A., C.L. Frankenfeld., J. Bases., V. Espina, and L.A. Liotta. (2014). Students Who Demonstrate Strong Talent and Interest in STEM Are Initially Attracted to STEM through Extracurricular Experiences. CBE-Life Science Education. Vol. 13, 687–697

Wefer SH and Sheppard K. 2008. Bioinformatics in High School Biology Curricula: A Study of State Science Standards. Life Science Education. Vol. 7, 155–162.

Wood, L and P. Gebhardt. (2013). Bioinformatics Goes to School—New Avenues for Teaching Contemporary Biology. PLOS Computational Biology, 9(6): 1-6.


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