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Pre-service Biology Teachers’ Views on Bioinformatics and Its Instruction

Year 2022, , 2157 - 2179, 30.12.2022
https://doi.org/10.17152/gefad.1182238

Abstract

Bioinformatics, which is generally defined as the study and processing of biology information through computers, is a rapidly developing scientific field today. It is becoming an important part of biology education worldwide with its increasing applications in biotechnology, health, agriculture, chemistry, genome research, and many other fields. Therefore, it is important to determine the views of teacher candidates on bioinformatics in Turkey in terms of creating a human infrastructure trained in the field. The purpose of this research is to examine the views of pre-service biology teachers’ on bioinformatics and its instruction. The study group of the research, which uses the holistic single case design among the qualitative research methods, consists of 105 pre-service biology teachers who are studying at the Faculty of Education and pedagogical formation programs of a state university. The data of the research were obtained using a semi-structured interview form developed by the researchers after the relevant literature search and obtaining expert opinions. The data obtained as a result of the research were analyzed by using descriptive and content analysis together. According to the results obtained at the end of the research, it was determined that the pre-service teachers did not have sufficient theoretical and practical knowledge, besides having positive views on the subject. Within this scope, it is recommended to integrate bioinformatics education into existing curricula, and to create learning contents and materials accordingly.

References

  • Ali, M. M., Hamid, M., Saleem, M., Malik, S., Mian, N. A., Ihsan, M. A., ... & Awan, F. (2021). Status of bioinformatics education in South Asia: past and present. BioMed research international, 2021, 1-9. https://doi.org/10.1155/2021/5568262
  • Attwood, T. K., Blackford, S., Brazas, M. D., Davies, A., & Schneider, M. V. (2019). A global perspective on evolving bioinformatics and data science training needs. Briefings in Bioinformatics, 20(2), 398-404.
  • Bain, S. A., Meagher, T. R., & Barker, D. (2021). Design, delivery and evaluation of a bioinformatics education workshop for 13-16-year-olds. Journal of Biological Education, 1-11.
  • Bayat, A. (2002). Bioinformatics.:science, medicine, and the future. BMJ Clinical Research 324(7344):1018-22.
  • Bhardwaj, R., Sharma, M., & Agrawal, N. (2021). Bioinformatics and Its Application Areas. S. Balamurugan, Anand Krishnan, Dinesh Goyal, Balakumar Chandrasekaran, Boomi Pandi Computation in BioInformatics: Multidisciplinary Applications, 121-137 Scrivener Publishing LLC: Wiley.
  • Brazas, M. D., Blackford, S., & Attwood, T. (2017). Plug gap in essential bioinformatics skills. Nature, 544.
  • Caspers, M. L., & Roberts‐Kirchhoff, E. S. (2003). An undergraduate biochemistry laboratory course with an emphasis on a research experience. Biochemistry and Molecular Biology Education, 31(5), 303-307.,,
  • Corbin J., & Strauss A. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory. Los Angeles, CA: Sage.
  • Counsell, D. (2003). A review of bioinformatics education in the UK. Brief Bioinform 4, 7-21.
  • Creswell, J. W., Plano Clark, V. L., Gutmann, M. L., & Hanson, W. E. (2003). Advanced mixed methods research designs. Handbook of mixed methods in social and behavioral research, SAGE publications.
  • Cummings, M. P., & Temple, G. G. (2010). Broader incorporation of bioinformatics in education: opportunities and challenges. Briefings in bioinformatics, 11(6), 537-543. Doi: 10.1093/bib/bbq058.
  • Eroğlu, S., & Bektaş, O. (2016). STEM eğitimi almış fen bilimleri öğretmenlerinin stem temelli ders etkinlikleri hakkındaki görüşleri. Eğitimde Nitel Araştırmalar, 4(3), 43-67.
  • Form, D., & Lewitter, F. (2011). Ten simple rules for teaching bioinformatics at the high school level. PLoS computational biology, 7(10), e1002243.
  • Gallardo-Alba, C., Grüning, B., & Serrano-Solano, B. (2021). A constructivist-based proposal for bioinformatics teaching practices during lockdown. PLoS Computational Biology, 17(5), e1008922.
  • Hack, C., & Kendall, G. (2005). Bioinformatics: Current practice and future challenges for life science education. Biochemistry and Molecular Biology Education, 33(2), 82-85.
  • Hancock, R.D. & Algozzine, B. (2006). Doing case study research a practical guide for beginning researchers. New York: Teachers College Press.
  • Houghton, C., Murphy, K., Meehan, B., Thomas, J., Brooker, D., & Casey, D. (2017). From screening to synthesis: using NVivo to enhance transparency in qualitative evidence synthesis. Journal of Clinical Nursing, 26(5-6), 873-881.
  • Islam, M. M. (2013). Role of bioinformatics in developing country: Bangladesh. Current Trends in Technology & Science, 2(1), 160-165.
  • Koch, I., & Fuellen, G. (2008). A review of bioinformatics education in Germany. Briefings in bioinformatics, 9(3), 232-242.
  • Konak, M. A., & Sürmeli, H. (2021). Fen bilimleri öğretmenlerinin biyoteknolojiye yönelik tutumları ve biyoetik değerleri: biyoteknolojinin Renkleri Projesi. Türkiye Bilimsel Araştırmalar Dergisi, 6(2), 378-399.
  • Kubiatko, M., & Haláková, Z. (2009). Slovak high school students’ attitudes to ICT using in biology lesson. Computers in human behavior, 25(3), 743-748.
  • Kumari, D., & Kumar, R. (2014). Impact of biological big data in bioinformatics. Internation
  • Machluf, Y., & Yarden, A. (2013). Integrating bioinformatics into senior high school: design principles and implications. Briefings in bioinformatics, 14(5), 648-660.
  • Magana, A. J., Taleyarkhan, M., Alvarado, D. R., Kane, M., Springer, J., & Clase, K. (2014). A survey of scholarly literature describing the field of bioinformatics education and bioinformatics educational research. CBE—Life Sciences Education, 13(4), 607-623.
  • Manzoor, S., Niazi, A., & Bongcam-Rudloff, E. (2017). A stepping stone to develop bioinformatics in Pakistan. EMBnet. journal, 23(1), 891.
  • Marques, I., Almeida, P., Alves, R., Dias, M. J., Godinho, A., & Pereira-Leal, J. B. (2014). Bioinformatics projects supporting life-sciences learning in high schools. PLoS computational biology, 10(1), e1003404.
  • Merriam, S.B. (2018). Nitel araştırma desen ve uygulama için bir rehber (S. Turan, Çev.). Ankara: Nobel Akademik Yayıncılık.
  • Miles, M, B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded Sourcebook. (2nd ed). Thousand Oaks, CA: Sage.
  • Mulder, N., Schwartz, R., Brazas, M. D., Brooksbank, C., Gaeta, B., Morgan, S. L., ... & Welch, L. (2018). The development and application of bioinformatics core competencies to improve bioinformatics training and education. PLoS computational biology, 14(2), e1005772.
  • Neil Sarkar, I. (2010). Bioinformatics education in the 21st century. Briefings in bioinformatics, 11(6), 535-536.
  • Patton, M. Q. (2005). Qualitative research. Encyclopedia of statistics in behavioral science.
  • Ranganathan S (2005). Bioinformatics education—perspectives and challenges. PLoS Comput Biol 1, e52. https://doi.org/10.1371/journal.pcbi.0010052
  • Špernjak, A., & Šorgo, A. (2009). Perspectives on the introduction of computer-supported real laboratory exercises into biology teaching in secondary schools: teachers as part of the problem. Problems of Education in the 21st Century, 14, 135.
  • Špernjak, A., & Šorgo, A. (2018). Differences in acquired knowledge and attitudes achieved with traditional, computer-supported and virtual laboratory biology laboratory exercises. Journal of Biological Education, 52(2), 206-220.
  • Tastan Bishop, Ö., Adebiyi, E. F., Alzohairy, A. M., Everett, D., Ghedira, K., Ghouila, A., ... & H3ABioNet Consortium, as members of The H3Africa Consortium). (2014). Bioinformatics education—perspectives and challenges out of Africa. Briefings in bioinformatics, 16(2), 355-364.
  • Via, A., Blicher, T., Bongcam-Rudloff, E., Brazas, M. D., Brooksbank, C., Budd, A., ... & Attwood, T. K. (2013). Best practices in bioinformatics training for life scientists. Briefings in bioinformatics, 14(5), 528-537.
  • Yang, A., Troup, M., & Ho, J. W. (2017). Scalability and validation of big data bioinformatics software. Computational and structural biotechnology journal, 15, 379-386.
  • Yıldırım, A., & Şimşek, H. (2013). Sosyal bilimlerde nitel araştırma yöntemleri (9. Baskı). Ankara: Seçkin Yayıncılık.
  • Yin, R. (2014). Case study research: design and methods. (5. Basım). California: Sage Publications.
  • Zerman Kepceoğlu, G., Torun, B. & Pektaş, M. (2020). Fen bilgisi öğretmen ve öğretmen adaylarının biyoinformatik farkındalıkları. Kırşehir Eğitim Fakültesi Dergisi, 21(1), 595-628.

Biyoloji Öğretmen Adaylarının Biyoinformatik ve Öğretimine İlişkin Görüşleri

Year 2022, , 2157 - 2179, 30.12.2022
https://doi.org/10.17152/gefad.1182238

Abstract

Genel olarak biyoloji bilgisinin bilgisayar aracılığıyla incelenmesi ve işlenmesi olarak tanımlanabilen biyoinformatik günümüzde hızla gelişen bir bilim dalıdır. Biyoinformatik, biyoteknoloji, sağlık, tarım, kimya, genom araştırmaları ve çok sayıda alanda giderek artan uygulamalarıyla dünyada biyoloji öğretiminin önemli bir parçası hâline gelmektedir. Bu bakımdan Türkiye'de biyoinformatik konusunda yetişmiş insan alt yapısının oluşturulması açısından öğretmen adaylarının konuya ilişkin görüşlerinin belirlenmesi önem kazanmaktadır. Bu araştırmanın amacı biyoloji öğretmen adaylarının biyoinformatik ve öğretimi konusunda görüşlerinin incelenmesidir. Nitel araştırma yöntemlerinden bütüncül tek durum deseninin kullanıldığı araştırmanın çalışma grubunu, bir devlet üniversitesinin eğitim fakültesi ve pedagojik formasyon programlarında öğrenimlerine devam eden 105 biyoloji öğretmen adayı oluşturmaktadır. Araştırmanın verileri ilgili alanyazın taramaları ve uzman görüşlerinin alınması aşamalarından sonra araştırmacılar tarafından geliştirilen yarı yapılandırılmış görüşme formu kullanılarak elde edilmiştir. Araştırma sonucunda elde edilen veriler betimsel ve içerik analizi bir arada kullanılarak çözümlenmiştir. Araştırma sonunda elde edilen sonuçlara göre öğretmen adaylarının konuya ilişkin olumlu görüşlere sahip olmalarının yanında, yeterli teorik ve uygulama bilgilerinin olmadığı belirlenmiştir. Bu kapsamda biyoinformatik eğitiminin mevcut öğretim programlarına entegrasyonu, ders içerikleri ve materyallerin oluşturulması önerilmektedir.

References

  • Ali, M. M., Hamid, M., Saleem, M., Malik, S., Mian, N. A., Ihsan, M. A., ... & Awan, F. (2021). Status of bioinformatics education in South Asia: past and present. BioMed research international, 2021, 1-9. https://doi.org/10.1155/2021/5568262
  • Attwood, T. K., Blackford, S., Brazas, M. D., Davies, A., & Schneider, M. V. (2019). A global perspective on evolving bioinformatics and data science training needs. Briefings in Bioinformatics, 20(2), 398-404.
  • Bain, S. A., Meagher, T. R., & Barker, D. (2021). Design, delivery and evaluation of a bioinformatics education workshop for 13-16-year-olds. Journal of Biological Education, 1-11.
  • Bayat, A. (2002). Bioinformatics.:science, medicine, and the future. BMJ Clinical Research 324(7344):1018-22.
  • Bhardwaj, R., Sharma, M., & Agrawal, N. (2021). Bioinformatics and Its Application Areas. S. Balamurugan, Anand Krishnan, Dinesh Goyal, Balakumar Chandrasekaran, Boomi Pandi Computation in BioInformatics: Multidisciplinary Applications, 121-137 Scrivener Publishing LLC: Wiley.
  • Brazas, M. D., Blackford, S., & Attwood, T. (2017). Plug gap in essential bioinformatics skills. Nature, 544.
  • Caspers, M. L., & Roberts‐Kirchhoff, E. S. (2003). An undergraduate biochemistry laboratory course with an emphasis on a research experience. Biochemistry and Molecular Biology Education, 31(5), 303-307.,,
  • Corbin J., & Strauss A. (2008). Basics of qualitative research: Techniques and procedures for developing grounded theory. Los Angeles, CA: Sage.
  • Counsell, D. (2003). A review of bioinformatics education in the UK. Brief Bioinform 4, 7-21.
  • Creswell, J. W., Plano Clark, V. L., Gutmann, M. L., & Hanson, W. E. (2003). Advanced mixed methods research designs. Handbook of mixed methods in social and behavioral research, SAGE publications.
  • Cummings, M. P., & Temple, G. G. (2010). Broader incorporation of bioinformatics in education: opportunities and challenges. Briefings in bioinformatics, 11(6), 537-543. Doi: 10.1093/bib/bbq058.
  • Eroğlu, S., & Bektaş, O. (2016). STEM eğitimi almış fen bilimleri öğretmenlerinin stem temelli ders etkinlikleri hakkındaki görüşleri. Eğitimde Nitel Araştırmalar, 4(3), 43-67.
  • Form, D., & Lewitter, F. (2011). Ten simple rules for teaching bioinformatics at the high school level. PLoS computational biology, 7(10), e1002243.
  • Gallardo-Alba, C., Grüning, B., & Serrano-Solano, B. (2021). A constructivist-based proposal for bioinformatics teaching practices during lockdown. PLoS Computational Biology, 17(5), e1008922.
  • Hack, C., & Kendall, G. (2005). Bioinformatics: Current practice and future challenges for life science education. Biochemistry and Molecular Biology Education, 33(2), 82-85.
  • Hancock, R.D. & Algozzine, B. (2006). Doing case study research a practical guide for beginning researchers. New York: Teachers College Press.
  • Houghton, C., Murphy, K., Meehan, B., Thomas, J., Brooker, D., & Casey, D. (2017). From screening to synthesis: using NVivo to enhance transparency in qualitative evidence synthesis. Journal of Clinical Nursing, 26(5-6), 873-881.
  • Islam, M. M. (2013). Role of bioinformatics in developing country: Bangladesh. Current Trends in Technology & Science, 2(1), 160-165.
  • Koch, I., & Fuellen, G. (2008). A review of bioinformatics education in Germany. Briefings in bioinformatics, 9(3), 232-242.
  • Konak, M. A., & Sürmeli, H. (2021). Fen bilimleri öğretmenlerinin biyoteknolojiye yönelik tutumları ve biyoetik değerleri: biyoteknolojinin Renkleri Projesi. Türkiye Bilimsel Araştırmalar Dergisi, 6(2), 378-399.
  • Kubiatko, M., & Haláková, Z. (2009). Slovak high school students’ attitudes to ICT using in biology lesson. Computers in human behavior, 25(3), 743-748.
  • Kumari, D., & Kumar, R. (2014). Impact of biological big data in bioinformatics. Internation
  • Machluf, Y., & Yarden, A. (2013). Integrating bioinformatics into senior high school: design principles and implications. Briefings in bioinformatics, 14(5), 648-660.
  • Magana, A. J., Taleyarkhan, M., Alvarado, D. R., Kane, M., Springer, J., & Clase, K. (2014). A survey of scholarly literature describing the field of bioinformatics education and bioinformatics educational research. CBE—Life Sciences Education, 13(4), 607-623.
  • Manzoor, S., Niazi, A., & Bongcam-Rudloff, E. (2017). A stepping stone to develop bioinformatics in Pakistan. EMBnet. journal, 23(1), 891.
  • Marques, I., Almeida, P., Alves, R., Dias, M. J., Godinho, A., & Pereira-Leal, J. B. (2014). Bioinformatics projects supporting life-sciences learning in high schools. PLoS computational biology, 10(1), e1003404.
  • Merriam, S.B. (2018). Nitel araştırma desen ve uygulama için bir rehber (S. Turan, Çev.). Ankara: Nobel Akademik Yayıncılık.
  • Miles, M, B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded Sourcebook. (2nd ed). Thousand Oaks, CA: Sage.
  • Mulder, N., Schwartz, R., Brazas, M. D., Brooksbank, C., Gaeta, B., Morgan, S. L., ... & Welch, L. (2018). The development and application of bioinformatics core competencies to improve bioinformatics training and education. PLoS computational biology, 14(2), e1005772.
  • Neil Sarkar, I. (2010). Bioinformatics education in the 21st century. Briefings in bioinformatics, 11(6), 535-536.
  • Patton, M. Q. (2005). Qualitative research. Encyclopedia of statistics in behavioral science.
  • Ranganathan S (2005). Bioinformatics education—perspectives and challenges. PLoS Comput Biol 1, e52. https://doi.org/10.1371/journal.pcbi.0010052
  • Špernjak, A., & Šorgo, A. (2009). Perspectives on the introduction of computer-supported real laboratory exercises into biology teaching in secondary schools: teachers as part of the problem. Problems of Education in the 21st Century, 14, 135.
  • Špernjak, A., & Šorgo, A. (2018). Differences in acquired knowledge and attitudes achieved with traditional, computer-supported and virtual laboratory biology laboratory exercises. Journal of Biological Education, 52(2), 206-220.
  • Tastan Bishop, Ö., Adebiyi, E. F., Alzohairy, A. M., Everett, D., Ghedira, K., Ghouila, A., ... & H3ABioNet Consortium, as members of The H3Africa Consortium). (2014). Bioinformatics education—perspectives and challenges out of Africa. Briefings in bioinformatics, 16(2), 355-364.
  • Via, A., Blicher, T., Bongcam-Rudloff, E., Brazas, M. D., Brooksbank, C., Budd, A., ... & Attwood, T. K. (2013). Best practices in bioinformatics training for life scientists. Briefings in bioinformatics, 14(5), 528-537.
  • Yang, A., Troup, M., & Ho, J. W. (2017). Scalability and validation of big data bioinformatics software. Computational and structural biotechnology journal, 15, 379-386.
  • Yıldırım, A., & Şimşek, H. (2013). Sosyal bilimlerde nitel araştırma yöntemleri (9. Baskı). Ankara: Seçkin Yayıncılık.
  • Yin, R. (2014). Case study research: design and methods. (5. Basım). California: Sage Publications.
  • Zerman Kepceoğlu, G., Torun, B. & Pektaş, M. (2020). Fen bilgisi öğretmen ve öğretmen adaylarının biyoinformatik farkındalıkları. Kırşehir Eğitim Fakültesi Dergisi, 21(1), 595-628.
There are 40 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Burak Gürkan 0000-0001-9252-9515

Ahmet Gökmen 0000-0001-9268-7812

Publication Date December 30, 2022
Published in Issue Year 2022

Cite

APA Gürkan, B., & Gökmen, A. (2022). Biyoloji Öğretmen Adaylarının Biyoinformatik ve Öğretimine İlişkin Görüşleri. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, 42(3), 2157-2179. https://doi.org/10.17152/gefad.1182238
AMA Gürkan B, Gökmen A. Biyoloji Öğretmen Adaylarının Biyoinformatik ve Öğretimine İlişkin Görüşleri. GEFAD. December 2022;42(3):2157-2179. doi:10.17152/gefad.1182238
Chicago Gürkan, Burak, and Ahmet Gökmen. “Biyoloji Öğretmen Adaylarının Biyoinformatik Ve Öğretimine İlişkin Görüşleri”. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi 42, no. 3 (December 2022): 2157-79. https://doi.org/10.17152/gefad.1182238.
EndNote Gürkan B, Gökmen A (December 1, 2022) Biyoloji Öğretmen Adaylarının Biyoinformatik ve Öğretimine İlişkin Görüşleri. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi 42 3 2157–2179.
IEEE B. Gürkan and A. Gökmen, “Biyoloji Öğretmen Adaylarının Biyoinformatik ve Öğretimine İlişkin Görüşleri”, GEFAD, vol. 42, no. 3, pp. 2157–2179, 2022, doi: 10.17152/gefad.1182238.
ISNAD Gürkan, Burak - Gökmen, Ahmet. “Biyoloji Öğretmen Adaylarının Biyoinformatik Ve Öğretimine İlişkin Görüşleri”. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi 42/3 (December 2022), 2157-2179. https://doi.org/10.17152/gefad.1182238.
JAMA Gürkan B, Gökmen A. Biyoloji Öğretmen Adaylarının Biyoinformatik ve Öğretimine İlişkin Görüşleri. GEFAD. 2022;42:2157–2179.
MLA Gürkan, Burak and Ahmet Gökmen. “Biyoloji Öğretmen Adaylarının Biyoinformatik Ve Öğretimine İlişkin Görüşleri”. Gazi Üniversitesi Gazi Eğitim Fakültesi Dergisi, vol. 42, no. 3, 2022, pp. 2157-79, doi:10.17152/gefad.1182238.
Vancouver Gürkan B, Gökmen A. Biyoloji Öğretmen Adaylarının Biyoinformatik ve Öğretimine İlişkin Görüşleri. GEFAD. 2022;42(3):2157-79.