INNOVATIVE CHEMISTRY EDUCATION: DEVELOPING VIRTUAL LABORATORY ACTIVITIES AND SCENARIOS WITH THE SUPPORT OF ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.63034/esr-797Keywords:
artificial intelligence, chemistry, virtual laboratory, ChatGPT, digital education, generative AI, STEM, research skillsAbstract
This article examines the methodological features of organizing virtual laboratory activities in chemistry lessons through the use of generative artificial intelligence tools. It analyzes the opportunities provided by ChatGPT, Gemini, and Microsoft Copilot for designing laboratory activities, creating differentiated learning tasks, and developing assessment criteria. In addition, the article describes the effectiveness of virtual laboratories in improving the quality of education, developing students' research skills, digital competence, and learning motivation. The research findings demonstrate that artificial intelligence contributes to enhancing the chemistry teaching process and optimizing teachers' methodological practices.
References
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial Intelligence in Education. Center for Curriculum Redesign.
Luckin, R. (2018). Machine Learning and Human Intelligence. UCL IOE Press.
OpenAI. (2024). ChatGPT in Education. https://openai.com
UNESCO. (2023). Guidance for Generative AI in Education and Research. Paris: UNESCO.
OECD. (2024). Artificial Intelligence in Education. OECD Publishing.
European Commission. (2022). Ethical Guidelines on the Use of Artificial Intelligence and Data in Teaching and Learning for Educators.
PhET Interactive Simulations. University of Colorado Boulder. https://phet.colorado.edu
ChemCollective. Carnegie Mellon University. https://chemcollective.org
Labster. https://www.labster.com
PraxiLabs. https://praxilabs.com
Mayer, R. E. (2021). Multimedia Learning (3rd ed.). Cambridge University Press.
Branch, R. M. (2020). Instructional Design. Springer.
Anderson, L. W., & Krathwohl, D. R. (2001). A Taxonomy for Learning, Teaching, and Assessing. Longman.
Merrill, M. D. (2020). First Principles of Instruction. Pfeiffer.
Clark, R. C., & Mayer, R. E. (2023). E-Learning and the Science of Instruction. Wiley.
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Copyright (c) 2026 Risbayeva Guldana Bidullayevna
This work is licensed under a Creative Commons Attribution 4.0 International License.
