Exploring the Perception of Science Teachers in Integration of AI in Biology Education: Literature Review
DOI:
https://doi.org/10.55927/fjst.v4i8.211Keywords:
Artificial Intelligence, Biology Education, Learning BiologyAbstract
This study explores the perception of science teachers on the integration of Artificial Intelligence (AI) in Biology education through a literature review approach. It aims to identify the benefits, challenges and applications of AI tools as perceived by science teachers. The review analyzed studies sources via SciSpace, highlighting teacher attitudes, AI tool types and the barriers to implementation. The research found generally positive perceptions toward AI in Biology, especially regarding improved lesson planning, visualization and adaptive learning. However, challenges, such as, technical limitations, curriculum alignment and lack of professional development remain. The findings underscore the need for targeted teacher training and policy reform to support meaningful AI integration Biology instruction.
References
Akhmadieva, R. S., Udina, N. N., Kosheleva, Y. P., Zhdanov, S. P., Timofeeva, M. O., & Budkevich, R. L. (2023). Artificial intelligence in science education: A bibliometric review. Contemporary Educational Technology, 15(4), ep460.
Al Darayseh, A. S. (2023). Acceptance of artificial intelligence in teaching science: Science teachers’ perspective. Computers & Education: Artificial Intelligence, 4, 100132.
Almasri, F. Exploring the Impact of Artificial Intelligence in Teaching and Learning of Science: A Systematic Review of Empirical Research. Res Sci Educ 54, 977–997 (2024).
Aripin, I., Gaffar, A. A., Jabar, M. B. A., & Yulianti, D. (2024). Artificial intelligence in biology and learning biology: A literature review. Jurnal Mangifera Edu, 8(2), 41-48.
Baisova, G. (2024). Integration of Artificial Intelligence into Educational Programs to Develop Scientific Analysis Skills in a Multidisciplinary Environment. Бюллетень Науки и Практики, 10(11), 410–416.
Buckchash, H., Verma, G. K., & Prasad, D. K. (2025). Applications and Challenges of AI and Microscopy in Life Science Research: A Review.
Carr, A., Cool, J., Karaletsos, T., Li, D., Lowe, A. R., Otte, S., & Schmid, S. L. (2024). AI: A transformative opportunity in cell biology. Molecular Biology of the Cell, 35(12).
Das, D., Roy, A. D., Dasgupta, S., & Roy, R. (2024). The use of generative artificial intelligence (AI) in teaching and assessment of postgraduate students in pathology and microbiology. Indian Journal of Microbiology Research, 11(3), 140–146.
Dasgupta, A., & De, R. K. (2023). Artificial intelligence in systems biology (pp. 153–201). Elsevier BV.
Dechev, M. (2024). Challenges for Education Using AI. Innovative STEM Education, 6(1), 236–242.
Eden, N. C. A., Chisom, N. O. N., & Adeniyi, N. I. S. (2024). Integrating AI in education: Opportunities, challenges, and ethical considerations. Magna Scientia Advanced Research and Reviews, 10(2), 006–013.
Fang, Z. (2021). Writing a Literature Review (pp. 126–145). Routledge.
Gocen, A., & Aydemir, F. (2020). Artificial intelligence in education and schools. Research on Education and Media, 12(1), 13–21.
Harry, A., & Sayudin, S. (2023). Role of AI in education. Interdiciplinary Journal and Hummanity (INJURITY), 2(3), 260–268.
Hassoun, S., Jefferson, F., Shi, X., Stucky, B. J., Wang, J., & Rosa, E. (2021). Artificial Intelligence for Biology. Integrative and Comparative Biology.
Hazari, A. (2023). Review of Literature: Search Engines and Strategies (pp. 41–57).
Huang, J., Saleh, S., & Liu, Y. (2021). A review on Artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3), 206.
Huang, Y., Long, L., & Liu, Y. (2024). Integrating AI into Biology Education: Classifying Edible and Poisonous Mushrooms Using Machine Learning. 346–352.
Joseph, N. O. B., & Uzondu, N. N. C. (2024). Integrating AI and Machine Learning in STEM education: Challenges and opportunities. Computer Science & IT Research Journal, 5(8), 1732–1750.
Kotsis, K. Τ. (2024). Integrating Artificial Intelligence in Science Education: Benefits and Challenges. International Journal of Educational Innovation, 6(3), 39–49.
Kurniawan, A., Hariyadi, S., Prabowo, A., & Savira, N. I. I. (2024). The Perceptions of the Pre-service and In-service Biology Teachers on Artificial Intelligence in Biology Learning. International Journal of Biology Education Towards Sustainable Development, 4(1), 1–8.
Leon, C., Lipuma, J., & Oviedo-Torres, X. (2025). Artificial intelligence in STEM education: a transdisciplinary framework for engagement and innovation. Frontiers in Education, 10.
Mnguni, L., Nuangchalerm, P., El Islami, R. A. Z., Sibanda, D., Ramulumo, M., & Sari, I. J. (2024). AI Integration in Biology Education: Comparative Insights into Perceived Benefits and TPACK among South African and Indonesian Pre-service Teachers. Asia-Pacific Science Education, 1–30.
Nagaraj, Bharath Kumar, Kalaivani A, Suraj Begum R, Akila S, Hemant Kumar Sachdev, and Senthil Kumar N. (2023). “The Emerging Role of Artificial Intelligence in STEM Higher Education: A Critical Review”. International Research Journal of Multidisciplinary Technovation 5 (5):1-19.
Naqbi, H. A., Bahroun, Z., & Ahmed, V. (2024). Enhancing Work Productivity through Generative Artificial Intelligence: A Comprehensive Literature Review. Sustainability, 16(3), 1166.
Nasution, N. E. A. (2023). Using artificial intelligence to create biology multiple choice questions for higher education. Agricultural and Environmental Education, 2(1), em002.
Nehm, R. H. (2024). AI in Biology Education Assessment. 38–58.
Nguyen, J., Nguyen, L., & Huynh, K. D. (2024). Artificial Intelligence in Biotechnology Education: Evaluating the Effectiveness of Gemini and ChatGPT in Laboratory Training.
Paiva, J. A., & Rodrigues, R. (2024). Empowering biology education with AI: overcoming challenges in basic education.
Park, J., Teo, T. W., Teo, A., Chang, J., Huang, J. S., & Koo, S. (2023). Integrating artificial intelligence into science lessons: teachers’ experiences and views. International Journal of STEM Education, 10.
Rashid, A. B., & Kausik, M. a. K. (2024). AI Revolutionizing Industries Worldwide: A comprehensive overview of its diverse applications. Hybrid Advances, 7, 100277.
Salloum, S. A., Salloum, A., & Alfaisal, R. (2024). Objectives and Obstacles of Artificial Intelligence in Education (pp. 605–614). Springer International Publishing.
Saputra, I., Astuti, M. D., Sayuti, M. Abd., & Kusumastuti, D. (2023). Integration of Artificial Intelligence in Education: Opportunities, Challenges, Threats and Obstacles. A Literature Review. Indonesian Journal of Computer Science.
Son, M. (2023). Analysis of the Necessity of AI Utilization and Digital Competencies and Use Cases for Science Teachers. Brain, Digital, & Learning, 13(3).
Tahir, M., Hassan, F. D., & Shagoo, M. (2024). Role of artificial intelligence in education: A conceptual review. World Journal Of Advanced Research and Reviews.
Telaumbanua, D. (2025). The role of artificial intelligence in improving the quality of biology learning. Cognizance Journal, 5(1), 78–84.
Xu, W., Ouyang, F. The application of AI technologies in STEM education: a systematic review from 2011 to 2021. IJ STEM Ed 9, 59 (2022).
Yoo, A. (2024). Artificial intelligence in classrooms (pp. 287–300). Elsevier BV.
Zahoor, A., Hauq, S., Bashir, U., Hamadani, A., & Shabir, S. (2024). A meshwork of artificial intelligence and biology (pp. 315–333). Elsevier BV.
Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., Liu, J., Yuan, J., & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1).
Zhang, K., & Aslan, A. B. (2021). AI technologies for education: Recent research & future directions. Computers and Education Artificial Intelligence, 2, 100025.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Aron M. Victoriano, Maria Azela L. Tamayo

This work is licensed under a Creative Commons Attribution 4.0 International License.






























