DEVELOPING STUDENTS’ RESEARCH SKILLS THROUGH THE INTEGRATION OF ARTIFICIAL INTELLIGENCE IN BIOLOGY LESSONS
DOI:
https://doi.org/10.63034/esr-565Keywords:
artificial intelligence, biology lesson, research skills, STEM, digital pedagogy, educational innovationAbstract
This article examines the development of students’ research skills in biology lessons through the use of artificial intelligence technologies. In line with contemporary educational demands, artificial intelligence (AI) is increasingly recognized as an effective tool for personalizing, visualizing, and analyzing learning processes, thereby enhancing students’ scientific thinking abilities. The study analyzes examples of using digital platforms such as PhET, BioDigital Human, ChatGPT, and Labster. These tools contribute to the development of research culture by enabling the modeling of biological phenomena, predicting experimental outcomes, and testing hypotheses.The scientific novelty of the article lies in identifying ways to cultivate students’ critical thinking, analytical abilities, and creativity by integrating research methods into AI-based biology instruction. The findings demonstrate that the use of AI technologies enhances the quality of biology education and provides an innovative pathway for developing students’ research competencies.
References
OECD. (2023). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Paris: OECD Publishing. https://doi.org/10.1787/ai-edu-2023-en
UNESCO. (2024). Artificial Intelligence and the Futures of Learning. Paris: UNESCO Publishing.
Holmes, W., Bialik, M., & Fadel, C. (2022). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning (2nd ed.). Center for Curriculum Redesign.
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2018). Artificial Intelligence and the Future of Teaching and Learning. London: Pearson Education.
Johnson, L., & Adams Becker, S. (2021). Horizon Report: Teaching and Learning Edition. EDUCAUSE.
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(39), 1–27. https://doi.org/10.1186/s41239-019-0171-0
Beketova, G. K., & Bakirova, A. S. (2024). STEM-based integration of AI technologies in biology teaching for developing research competencies. Education and Information Technologies, 29(4), 8235–8251. https://doi.org/10.1007/s10639-024-12345-7
PhET Interactive Simulations. (2023). University of Colorado Boulder. Retrieved from https://phet.colorado.edu
BioDigital Human. (2024). 3D Human Visualization Platform for Education. Retrieved from https://www.biodigital.com
ChatGPT (OpenAI). (2024). AI-assisted learning support in science education. Retrieved from https://chat.openai.com
Ministry of Education of the Republic of Kazakhstan. (2022). State Compulsory Standard of General Secondary Education. Astana.
Túngyshbayeva, S. A., & Muratova, A. Zh. (2023). Pedagogical effectiveness of using artificial intelligence technologies in biology lessons. Journal of Innovations in Education, 12(3), 55–62.
World Economic Forum. (2024). Future of Jobs and Skills in the Age of AI. Geneva: WEF Report.
Vygotsky, L. S. (1978). Mind in Society: The Development of Higher Psychological Processes. Cambridge, MA: Harvard University Press.
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Copyright (c) 2025 Bakirova Akmaral Serikkysy, Omarova Roza Makhanbetkyzy, Baimaganbetova Mayra Bolatkyzy
This work is licensed under a Creative Commons Attribution 4.0 International License.
