DIDACTIC FOUNDATIONS OF SIMULATING LABORATORY PROCESSES USING ARTIFICIAL INTELLIGENCE
Keywords:
Artificial intelligence; laboratory simulation; virtual laboratory; didactics; educational technology; experimental competence; modeling; virtual learning.Abstract
This research examines the didactic foundations of simulating laboratory processes through artificial intelligence (AI) technologies. AI-based virtual laboratories create safe, cost-effective, and interactive environments where students can perform experiments, observe complex processes, and correct mistakes without risk. The study identifies the pedagogical principles required for effective integration of AI simulations into the educational process, analyzes their advantages, and evaluates their impact on the formation of practical competencies. The results demonstrate that AI-supported simulations significantly enhance students’ analytical skills, experimental competence, and learning motivation.
Downloads
References
Huang, R., & Hew, K. (2021). Artificial Intelligence in Education: Theory and Practice. Springer.
Jarvis, M. (2021). Artificial Intelligence in Science Education. Oxford University Press.
Kim, S., & Han, J. (2022). “Virtual Laboratory Simulations in STEM Education.” Journal of Educational Technology, 14(3), 45–59.
Miller, T. (2020). AI-Driven Learning Environments. Springer.
UNESCO. (2022). AI in Education: Global Review.
OECD. (2021). The Future of Skills and AI Applications.