Digital transformation in zoology education: A methodology for training future biology teachers

Authors

  • Zukhra Bagimbayeva Author
  • Assiya Maimatayeva Author
  • Zhadyra Kabatayeva Author
  • Kuralay Alipina Author
  • Zhuldyz Tergenbayeva Author
  • Ruslan Safarov L. N. Gumilyov Eurasian National University image/svg+xml Author https://orcid.org/0000-0003-2158-6330

Keywords:

Biology Teacher Education, TPACK (Technological Pedagogical Content Knowledge), Digital Didactics, virtual dissection, Geographical Information Systems (GIS)

Abstract

The digital transformation of higher education has outpaced the methodological readiness of biology teacher training, where generic ICT courses rarely translate into discipline-specific teaching skills. This study develops and evaluates a 16-week “Digital Didactics of Zoology” module. It examined whether embedding digital tools within zoology pedagogy is associated with better outcomes than conventional instruction paired with separate ICT training. A mixed-methods quasi-experiment followed 84 pre-service biology teachers in two intact academic groups, an experimental group receiving the modüle (n = 42) and a control group receiving conventional teaching with a generic ICT course (n = 42). Data were derived from pre- and post-tests of subject knowledge, a 35-item competence questionnaire, case-based lesson design and micro-teaching tasks, blinded expert ratings, and coded lesson plans and interaction logs. Because (ANCOVA), allocation was not random, post-test scores were compared using analysis of covariance (ANCOVA), adjusting for the pre-test. The experimental condition scored significantly higher in zoology knowledge (adjusted difference 9.22 points, 95% CI [7.10, 11.33], d = 1.89) and in digital didactic competence (20.53 points, 95% CI [17.89, 23.17], d = 3.38) and higher on lesson quality (g = 1.54) and expert evaluations (g = 2.48). An exploratory structural equation model (SEM)  fitted to the full sample (CFI = .994, RMSEA = .060, SRMR = .027) associated digital proficiency with pedagogical reasoning (β = .71, bootstrap 95% CI [.55, .83]); this association appeared in both conditions, and the two estimates were not compared formally. The module provides teacher-education programs with a transferable design for technology-integrated zoology instruction, pending replication across institutions.

Downloads

Download data is not yet available.

References

Abiltayeva, A., Zhumagulova, K., Satayev, M., Yechshzhanov, T., Maimatayeva, A., & Balta, N. (2025). Teacher competencies and digital integration into teaching practices: Perceptions from pre-service biology teachers in Kazakhstan. Frontiers in Education, 10, Article 1628034. https://doi.org/10.3389/feduc.2025.1628034

Adhani, A., & Nursia, N. (2024). Pre-service biology teachers' digital competences profile. Jurnal Pendidikan Indonesia Gemilang, 4(1), 54–66. https://doi.org/10.52889/jpig.v4i1.355

Ambarwati, R., Faizah, U., & Rahayu, D. A. (2019). Enhancing the digital literacy of pre-service biology teachers through an animal systematics course. In Proceedings of the Mathematics, Informatics, Science, and Education International Conference (MISEIC 2019). Atlantis Press. https://doi.org/10.2991/miseic-19.2019.46

Anapana, G., Donkada, S., Surarapu, N., & Venkata Rathnamma, V. (2025). Multidisciplinary integration in zoology education: Bridging biological, computational, and environmental sciences. Uttar Pradesh Journal of Zoology, 46(8), 317–331. https://doi.org/10.56557/upjoz/2025/v46i84916

Anniesmitha, K., Mathias, E. G., Bandekar, N. N., Rao, K. G. M., Aithal, P. A., & George, B. M. (2025). Visuospatial ability and neuroanatomy learning in health profession education – A scoping review. Translational Research in Anatomy, 41, Article 100436. https://doi.org/10.1016/j.tria.2025.100436

Baker, K., Barnes, L., Rana, S., Jackson, J., & Kannan, R. (2023). Citizen science: Role of iNaturalist in biodiversity documentation and education in Arkansas. Journal of the Arkansas Academy of Science, 77(1). https://doi.org/10.54119/jaas.2023.77119

Berkimbayev, K. M. (2021). The importance and models of forming the digital competence of teachers. Bulletin of the Karaganda University Pedagogy Series, 103(3), 124–132. https://doi.org/10.31489/2021ped3/124-132

Biletska, H., Mironova, N., Yefremova, O., Barna, L., & Bloshchynskyi, I. (2021). The future biology teachers training for the implementation of sustainable development ideas in ecological education. International Journal of Innovative Research and Scientific Studies, 4(4), 229–237. https://doi.org/10.53894/ijirss.v4i4.200

Boscolo-Berto, R., Tortorella, C., Porzionato, A., Stecco, C., Picardi, E. E. E., Macchi, V., & De Caro, R. (2021). The additional role of virtual to traditional dissection in teaching anatomy: A randomised controlled trial. Surgical and Radiologic Anatomy, 43(4), 469–479. https://doi.org/10.1007/s00276-020-02551-2

Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational Researcher, 18(1), 32–42. https://doi.org/10.3102/0013189X018001032

Chai, C. S., Ng, E. M. W., Li, W., Hong, H.-Y., & Koh, J. H. L. (2013). Validating and modelling technological pedagogical content knowledge framework among Asian preservice teachers. Australasian Journal of Educational Technology, 29(1), 41–53. https://doi.org/10.14742/ajet.174

Chisingui, A. V., & Costa, N. (2020). Teacher education and sustainable development goals: A case study with future biology teachers in an Angolan higher education institution. Sustainability, 12(8), Article 3344. https://doi.org/10.3390/su12083344

de Oliveira, G. A., Ferreira, M. B. C., Nunes, L. N., & Ribeiro, M. F. M. (2019). Pedagogical training profile of basic health sciences faculty in biomedical and related fields at Brazilian public and private higher education institutions. Advances in Physiology Education, 43(2), 180–190. https://doi.org/10.1152/advan.00211.2018

Diem, H. T. T., Thinh, M. P., & Lam, V. T. T. (2024). Exploring practical pedagogy in high school biology education: A qualitative study of pre-service biology teachers' experiences in Vietnam. European Journal of Educational Research, 13(2), 557–571. https://doi.org/10.12973/eu-jer.13.2.557

Dinçer, S. (2024). Bridging the gap in technology integration in education: An examination of science teachers’ competencies and needs. Journal of Turkish Science Education, 21(4), 620–634. https://doi.org/10.36681/tused.2024.033

Duran, T., & Dikmenli, M. (2025). Use of artificial intelligence in biology education: A systematic review of literature. Journal of Education in Science, Environment and Health, 11(4), 314–333. https://doi.org/10.55549/jeseh.864

Garzón-Artacho, E., Sola-Martínez, T., Romero-Rodríguez, J.-M., & Gómez-García, G. (2021). Teachers' perceptions of digital competence at the lifelong learning stage. Heliyon, 7(7), Article e07513. https://doi.org/10.1016/j.heliyon.2021.e07513

Gaston, K. J., & O’Neill, M. A. (2004). Automated species identification: Why not? Philosophical Transactions of the Royal Society B: Biological Sciences, 359(1444), 655–667. https://doi.org/10.1098/rstb.2003.1442

Ghomi, M., & Redecker, C. (2019). Digital competence of educators (DigCompEdu): Development and evaluation of a self-assessment instrument for teachers' digital competence. In Proceedings of the 11th International Conference on Computer Supported Education (pp. 541–548). SCITEPRESS. https://doi.org/10.5220/0007679005410548

Hajiyeva, G. (2021). Teaching biology teaching methodology in higher pedagogical schools. In Science, Education and Innovations in the Context of Modern Problems Conference. IMCRA Publications.

Heitink, M., Voogt, J., Fisser, P., Verplanken, L., & van Braak, J. (2017). Eliciting teachers' technological pedagogical knowledge. Australasian Journal of Educational Technology, 33(3), 96–109. https://doi.org/10.14742/ajet.3505

Herodotou, C., Ismail, N., Benavides Lahnstein, A. I., Aristeidou, M., Young, A. N., Johnson, R. F., Higgins, L. M., Ghadiri Khanaposhtani, M., Robinson, L. D., & Ballard, H. L. (2024). Young people in iNaturalist: A blended learning framework for biodiversity monitoring. International Journal of Science Education, Part B, 14(2), 129–156. https://doi.org/10.1080/21548455.2023.2217472

Hsu, H.-P., Cheah, Y. H., & Hughes, J. E. (2023). A case study of a secondary biology teacher's pedagogical reasoning and action with augmented reality technology. Education Sciences, 13(11), Article 1080. https://doi.org/10.3390/educsci13111080

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

International Society for Technology in Education. (2002). National educational technology standards for teachers: Preparing teachers to use technology. ISTE.

Irdalisa, I., Fuadi, T. M., Elvianasti, M., & Yanto, B. E. (2022). Technological pedagogical content knowledge: Ability prospective teachers biology education department in Jakarta Indonesia. International Journal of Educational Research Review, 7(2), 114–123. https://doi.org/10.24331/ijere.1050594

Jensen, J. L. (2011). Higher education faculty versus high school teacher: Does pedagogical preparation make a difference? Bioscene: Journal of College Biology Teaching, 37(2), 30–36.

Jiménez Sierra, Á. A., Ortega Iglesias, J. M., Cabero-Almenara, J., & Palacios-Rodríguez, A. (2023). Development of the teacher's technological pedagogical content knowledge (TPACK) from the lesson study: A systematic review. Frontiers in Education, 8, Article 1078913. https://doi.org/10.3389/feduc.2023.1078913

Kang, N.-H., Yoo, J. E., & Kim, H. G. (2024). Development and validation of a scale of competency of digital age teaching (SCoDAT) for preservice teachers. Innovation and Education, 6(1), 58–77. https://doi.org/10.1163/25248502-bja00005

Kavvadia, E.-M., Katsoula, I., Angelis, S., & Filippou, D. (2023). The Anatomage table: A promising alternative in anatomy education. Cureus, 15(8), Article e43047. https://doi.org/10.7759/cureus.43047

Kenny, D. A., Kaniskan, B., & McCoach, D. B. (2015). The performance of RMSEA in models with small degrees of freedom. Sociological Methods & Research, 44(3), 486–507. https://doi.org/10.1177/0049124114543236

Kerski, J. J. (2019). Teaching demography and population change using web GIS tools and data. The Geography Teacher, 16(3), 126–132. https://doi.org/10.1080/19338341.2019.1619608

Kim, J. Y., & Choi, J. K. (2025). Effects of AR on cognitive processes: An experimental study on object manipulation, eye-tracking, and behavior observation in design education. Sensors, 25(6), Article 1882. https://doi.org/10.3390/s25061882

Kraft, M. A. (2020). Interpreting effect sizes of education interventions. Educational Researcher, 49(4), 241–253. https://doi.org/10.3102/0013189X20912798

Majewska, A. A., & Vereen, E. (2023). Using immersive virtual reality in an online biology course. Journal for STEM Education Research, 6(3), 480–495. https://doi.org/10.1007/s41979-023-00095-9

Mašterová, V. (2023). Learning and teaching through inquiry with geospatial technologies: A systematic review. European Journal of Geography, 14(3), 42–54. https://doi.org/10.48088/ejg.v.mas.14.3.042.054

Mishra, P., & Koehler, M. J. (2006). Technological pedagogical content knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054. https://doi.org/10.1111/j.1467-9620.2006.00684.x

Nazyrova, A., Miłosz, M., Bekmanova, G., Omarbekova, A., Aimicheva, G., & Kadyr, Y. (2025). The digital transformation of higher education in the context of an AI-driven future. Sustainability, 17(22), Article 9927. https://doi.org/10.3390/su17229927

Neumann, K., & Waight, N. (2020). The digitalization of science education: Déjà vu all over again? Journal of Research in Science Teaching, 57(9), 1519–1528. https://doi.org/10.1002/tea.21668

Nietbaeva, F. (2023). Digital literacy in biology education through mobile learning technologies. Eurasian Science Review, 1(4). https://doi.org/10.63034/esr-14

Nurbaya, N. (2023). Identifying prospective biology teachers' digital literacy competence at Cenderawasih University. Jurnal Penelitian Pendidikan IPA, 9(11), 10051–10058. https://doi.org/10.29303/jppipa.v9i11.4908

Ormandy, E., Schwab, J. C., Suiter, S., Green, N., Oakley, J., Osenkowski, P., & Sumner, C. (2022). Animal dissection vs. non-animal teaching methods. The American Biology Teacher, 84(7), 399–404. https://doi.org/10.1525/abt.2022.84.7.399

Pandey, S. B., Bhadkaria, V., Chourasia, R. S., & Kumar, R. (2024). The role of technology in anatomy education: Evaluating knowledge gains with virtual dissection tools. Journal of Heart Valve Disease, 29, 60–65. https://doi.org/10.47310/jhvd.2024.v29i01.011

Pererva, V. V., Lavrentieva, O. O., Lakomova, O. I., Zavalniuk, O. S., & Tolmachev, S. T. (2020). The technique of using a virtual learning environment in organizing future teachers' terminological work by specialty. CEUR Workshop Proceedings, 2643, 321–346. https://doi.org/10.31812/123456789/3868

Randler, C. (2008). Teaching species identification – A prerequisite for learning biodiversity and understanding ecology. EURASIA Journal of Mathematics, Science and Technology Education, 4(3), 223–231. https://doi.org/10.12973/ejmste/75344

Reinke, N. B., Kynn, M., & Parkinson, A. L. (2021). Immersive 3D experience of osmosis improves learning outcomes of first-year cell biology students. CBE—Life Sciences Education, 20(1), Article ar1. https://doi.org/10.1187/cbe.19-11-0254

Rode, Ž., & Torkar, G. (2023). The iNaturalist application in biology education: A systematic review. International Journal of Educational Methodology, 9(4), 725–744. https://doi.org/10.12973/ijem.9.4.725

Sangur, K., Zubaidah, S., & Sulisetijono. (2025). A systematic literature review of mobile learning trends in biology education over ten years. Social Sciences & Humanities Open, 11, Article 101429. https://doi.org/10.1016/j.ssaho.2025.101429

Sattar, M. A., Maqbool, M. U., Zakir, F., & Billah, M. (2025). Enhancing student engagement through augmented reality in secondary biology education. Frontiers in Education, 10, Article 1628004. https://doi.org/10.3389/feduc.2025.1628004

Sautière, P. E., Blervacq, A. S., & Vizioli, J. (2019). Production and uses of e-learning tools for animal biology education at university. The European Zoological Journal, 86(1), 63–78. https://doi.org/10.1080/24750263.2019.1582722

Sharmin, N., Chow, A. K., & King, S. (2023). Effect of teaching tools in spatial understanding in health science education: A systematic review. Canadian Medical Education Journal, 14(4), 70–88. https://doi.org/10.36834/cmej.74978

Shulman, L. S. (1986). Those who understand: Knowledge growth in teaching. Educational Researcher, 15(2), 4–14. https://doi.org/10.3102/0013189X015002004

Singer, J., Lotter, C., Feller, R., & Gates, H. (2011). Exploring a model of situated professional development: Impact on classroom practice. Journal of Science Teacher Education, 22(3), 203–227. https://doi.org/10.1007/s10972-011-9229-0

Smagulova, A. E., & Kalieva, A. N. (2025). Evaluating the preparedness of future biology specialists to integrate STEM approaches into their education and training. Bulletin of Ablai Khan KazUIRandWL, Series "Pedagogical Sciences", 77(2), 65–79. https://doi.org/10.48371/PEDS.2025.77.2.004

Sulaimanova, R., & Egamberdieva, A. (2025). Professional development of teachers in the context of digital transformation. Bulletin of the Jusup Balasagyn Kyrgyz National University, 9–20. https://doi.org/10.58649/1694-8033-2025-3(123)-9-20

Tanner, K., & Allen, D. (2006). Approaches to biology teaching and learning: On integrating pedagogical training into the graduate experiences of future science faculty. CBE—Life Sciences Education, 5(1), 1–6. https://doi.org/10.1187/cbe.05-12-0132

Telecan, T., Capraș, R.-D., Filip, G. A., Bonea, M., & Crivii, C.-B. (2025). Dissection in the 21st century: Virtual tables versus traditional methods and their influence on medical students' perception – A systematic review. BMC Medical Education, 25(1), Article 1332. https://doi.org/10.1186/s12909-025-07946-6

Tergenbayeva, Z., Karasholakova, L., Çatar Sarıkurt, B., Özdilek, Z., Atasoy, E., & Kitapbayeva, A. (2023). Investigation of pre-service science teachers’ knowledge levels, practical experiences, and perceived competencies in teaching biodiversity. Journal of Turkish Science Education, 20(4), 695–717. https://doi.org/10.36681/tused.2023.039

Tondeur, J., van Braak, J., Sang, G., Voogt, J., Fisser, P., & Ottenbreit-Leftwich, A. (2012). Preparing pre-service teachers to integrate technology in education: A synthesis of qualitative evidence. Computers & Education, 59(1), 134–144. https://doi.org/10.1016/j.compedu.2011.10.009

Tondeur, J., Scherer, R., Siddiq, F., & Baran, E. (2017). A comprehensive investigation of TPACK within pre-service teachers' ICT profiles: Mind the gap! Australasian Journal of Educational Technology, 33(3), 46–60. https://doi.org/10.14742/ajet.3504

Tung, Y.-H., & Chang, C.-Y. (2024). How three-dimensional sketching environments affect spatial thinking: A functional magnetic resonance imaging study of virtual reality. PLOS ONE, 19(3), Article e0294451. https://doi.org/10.1371/journal.pone.0294451

Tzafilkou, K., Perifanou, M., & Economides, A. A. (2023). Assessing teachers' digital competence in primary and secondary education: Applying a new instrument to integrate pedagogical and professional elements for digital education. Education and Information Technologies, 28(12), 16017–16040. https://doi.org/10.1007/s10639-023-11848-9

Väätäjä, J. O., & Ruokamo, H. (2021). Conceptualizing dimensions and a model for digital pedagogy. Journal of Pacific Rim Psychology, 15, Article 1834490921995395. https://doi.org/10.1177/1834490921995395

Valtonen, T., Leppänen, U., Hyypiä, M., Sointu, E., Smits, A., & Tondeur, J. (2020). Fresh perspectives on TPACK: Pre-service teachers' own appraisal of their challenging and confident TPACK areas. Education and Information Technologies, 25(4), 2823–2842. https://doi.org/10.1007/s10639-019-10092-4

von Kotzebue, L. (2022). Beliefs, self-reported or performance-assessed TPACK: What can predict the quality of technology-enhanced biology lesson plans? Journal of Science Education and Technology, 31(5), 570–582. https://doi.org/10.1007/s10956-022-09974-z

Voogt, J., Fisser, P., Pareja Roblin, N., Tondeur, J., & van Braak, J. (2013). Technological pedagogical content knowledge – a review of the literature. Journal of Computer Assisted Learning, 29(2), 109–121. https://doi.org/10.1111/j.1365-2729.2012.00487.x

Wäldchen, J., & Mäder, P. (2018). Machine learning for image based species identification. Methods in Ecology and Evolution, 9(11), 2216–2225. https://doi.org/10.1111/2041-210X.13075

Willermark, S. (2018). Technological pedagogical and content knowledge: A review of empirical studies published from 2011 to 2016. Journal of Educational Computing Research, 56(3), 315–343. https://doi.org/10.1177/0735633117713114

Zhang, J., Su, T., Liang, X., Xu, Y., Wang, Z., Yu, Y., & Ge, J. (2023). The mediating effect of geospatial thinking on the relationship between family capital and academic achievement in geography. Frontiers in Psychology, 14, Article 1067198. https://doi.org/10.3389/fpsyg.2023.1067198

Zhukabayeva, T., Baumuratova, D., Zholshiyeva, L., Karabay, A., & Abdrakhmanov, K. (2025). Digital transformation in higher education: Toward a national model of digital university in Kazakhstan through global and local comparison. Sustainability, 17(24), Article 11132. https://doi.org/10.3390/su172411132

Downloads

Published

28.09.2026

How to Cite

Bagimbayeva, Z., Maimatayeva, A., Kabatayeva, Z., Alipina, K., Tergenbayeva, Z., & Safarov, R. (2026). Digital transformation in zoology education: A methodology for training future biology teachers. Journal of Turkish Science Education, 23(3), 554-579. https://www.tused.org/index.php/tused/article/view/4294