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Exploring the application and practice of artificial intelligence in the teaching reform of inorganic chemistry education

Pengyao You, Xiaochun Wu, Yi Wang, Lanyi Meng   

  1. College of Chemistry and Materials Science, Sichuan Normal University, Chengdu 610066, Sichuan Province, China
  • Received:2026-03-04 Accepted:2026-04-20
  • Contact: Pengyao You E-mail:pyyou@sicnu.edu.cn

Abstract: The deep integration of artificial intelligence (AI) technology with chemistry education serves as a pivotal driver for innovation in chemistry instruction. To address the prevalent challenges of superficial AI implementation and inadequate development of research competencies in foundational chemistry courses at undergraduate institutions, this study employed the inorganic chemistry curriculum for biology majors at Sichuan Normal University's College of Life Sciences as an experimental platform. We developed and implemented an innovative teaching model titled “AI-Empowered Exploration of Life Science Frontiers,” which utilizes DeepSeek as the core analytical tool and “Rain Classroom” as the management platform. This model systematically guides students through the PIVE inquiry-based learning framework (Proposing precise questions → Integrating AI-generated information → Verifying via cross-checking → Envisioning personal outlook). Teaching practice demonstrates that this approach significantly enhances students' capacity to utilize AI tools for academic research, fosters the development of critical thinking skills and research literacy, and successfully integrates the three-dimensional educational objectives encompassing knowledge acquisition, methodological processes, and value cultivation. The study provides an operational paradigm for the effective incorporation of AI tools into foundational courses for undergraduate students.

Key words: Artificial intelligence, Inorganic chemistry, DeepSeek, PIVE inquiry learning framework, Critical thinking