Abstract: This study centers on the scientific investigation titled “Data-Driven Preparation of Low-Cost, High-Efficiency Water Electrolysis Catalysts.” To address the challenges of intricate procedures, prolonged cycles, and costly equipment when incorporating such advanced research into undergraduate and postgraduate teaching, we innovatively integrated digital intelligence technologies. These include online platforms, data-driven methodologies, numerical simulations, human-computer interaction, virtual simulations, and remotely controlled automated systems. Through strategic implementation of these smart technologies across experimental design, operation execution, and data analysis phases, we fully harnessed the experiment’s cutting-edge nature, practical applicability, innovative features, interdisciplinary value, and multi-skill training potential, adapting it into a comprehensive chemistry experiment suitable for higher education. The incorporation of digital intelligence technologies reduced the experimental cycle by 65%, enabling students to complete this advanced research experience within limited course hours. Student feedback was overwhelmingly positive: all participants acknowledged the digital-intelligent approach enhanced their understanding of experimental principles and completion; 85% reported increased engagement; 52% gained deeper insight into research processes; and 60% expressed heightened interest in learning digital technologies. This practice demonstrates that digital-intelligent transformation effectively improves teaching efficiency and fosters students’ scientific thinking and experimental competencies, providing a novel approach for reforming chemical experiment education in universities.

Key words: Digital intelligence technology, Integration of science and education, Comprehensive chemistry experiment