NOTEBOOKLM IN MILITARY EDUCATION: THE EXPERIENCE OF THE HIGHER MATHEMATICS DEPARTMENT
DOI:
https://doi.org/10.31110/2616-650X-vol14i2-014Keywords:
higher-educational innovations;, artificial intelligence tools;, NotebookLMAbstract
The authors investigated the use of the artificial intelligence tool NotebookLM to improve the teaching of higher mathematics at the I. Kozhedub Kharkiv National Air Force University. The complexity of mathematical disciplines and the limited time for advanced learning require greater motivation among cadets. The purpose of the study is to substantiate the use of the NotebookLM online service to support the independent work of cadets and assist the teacher. The paper analyzes the service's functional capabilities with the aim of their practical application in the educational process, including the creation of structured thematic notebooks, audio transcriptions of educational materials, mind maps, reports, interactive tests, flashcards, and infographics. It is shown that the use of these tools allows you to combine theoretical training with applied aspects of mathematics, reduce cognitive load, and increase the accessibility of complex material without excessive formalization. Based on pedagogical observations and the results of an anonymous questionnaire, the positive impact of NotebookLM integration in training on cadets' level of interest, the quality of independent preparation, and the efficiency of classroom time was established. The results indicate that artificial intelligence should be considered not as a replacement for a teacher, but as a methodological support that expands the capabilities of traditional forms of training. The results of the study are of practical importance, as they can be used to develop new Moodle electronic training courses, teaching and methodological materials, and digital educational environments for mathematical disciplines. The prospects for further implementation of artificial intelligence technologies in military and general university mathematical education are outlined, in particular, in the direction of personalizing training and developing students' digital and analytical competencies.
References
Awang L. A., Yusop F. D., Danaee M. Current practices and future direction of artificial intelligence in mathematics education: a systematic review. International Electronic Journal of Mathematics Education. 2025. Vol. 20, no. 2. Art. em0823. https://doi.org/10.29333/iejme/16006
Biggs A. T. Enhancing professional military education with AI: best practices for effective implementation. Journal of Military Learning. 2025. P. 22–37. URL: https://www.armyupress.army.mil/Portals/7/journal-of-military-learning/Archives/April-2025/Enhancing-pme-with-ai/Enhancing-pme-with-ai-UA.pdf
Chen L., Chen P., Lin Z. Artificial intelligence in education: a review. IEEE Access. 2020. Vol. 8. P. 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510
Cheah Y. H., Lu J., Kim J. Integrating generative artificial intelligence in K-12 education: examining teachers’ preparedness, practices, and barriers. Computers and Education: Artificial Intelligence. 2025. Vol. 8. Art. 100363. https://doi.org/10.1016/j.caeai.2025.100363
Gadanidis G., Li L., Tan J. Mathematics & artificial intelligence: intersections and educational implications. Journal of Digital Life and Learning. 2024. Vol. 4, no. 1. P. 1–24. https://doi.org/10.51357/jdll.v4i1.249
Hetmanenko L., Khoruzha L. Leveraging artificial intelligence to enhance mathematics education and overcome instructional challenges. Innovaciencia. 2025. Vol. 13, no. 1. https://doi.org/10.15649/2346075X.5075
Luzano J. F. P. New frontier in mathematics education: a review of emerging trends and critical issues on artificial intelligence. International Journal of Technology in Education. 2025. Vol. 8, no. 1. P. 208–219. https://doi.org/10.46328/ijte.1028
Nguyen D. T. Pham Q. V. The evolving landscape of AI integration in mathematics education: a systematic review of trends (2015–2025). Eurasia Journal of Mathematics, Science and Technology Education. 2025. Vol. 21, no. 10. Art. em2714. https://doi.org/10.29333/ejmste/17078
Reyna D. J. 2025: the potential of Google NotebookLM for teaching and learning. ELearn Conference. eLearn 2025. 2025. URL: https://bccampus.ca/2025/10/21/the-intelligent-notebook-become-a-knowledge-expert-with-notebooklm/
Wang S., Wang F., Zhu Z., Wang J., Tran T., Du Z. Artificial intelligence in education: a systematic literature review. Expert Systems with Applications. 2024. Vol. 252, pt. A. Art. 124167. https://doi.org/10.1016/j.eswa.2024.124167
Проценко П. Штучний інтелект у вищій військовій освіті: нові можливості для розвитку управлінської компетентності майбутніх офіцерів ЗСУ. Наукові інновації та передові технології. 2025. № 6(46). С. 1142–1153. https://doi.org/10.52058/2786-5274-2025-6(46)-1142-1153
Титаренко Н. Є. Перспективи використання штучного інтелекту для викладання математичних освітніх компонентів у закладах вищої освіти. Педагогічна академія: наукові записки. 2024. Вип. 13. https://doi.org/10.5281/zenodo.14585376
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