Seeking Source,Reconstructing,Visualization:A New Paradigm for Teaching Quantum Mechanics Fundamentals in Structural Chemistry in the AI Era: Rebuilding the Cognitive Framework Based on the Underlying Logic of Linear Algebra
LI Hai-Bei1**, SHA Sha1, LI Heng-Ting1, WANG Xin-Yan1, ZHOU Mei-Juan2, QI Ming-Ying1, QIAO Li-Na1
Abstract Addressing the challenges in traditional teaching of quantum mechanics fundamentals in Structural Chemistry,such as abstract concepts,loosely connected logical structure,and students’ difficulty in constructing a systematic cognitive framework,this paper proposes a new teaching design based on cognitive logic reconstruction and graphical presentation.This design takes linear algebra as its foundation.Starting from the Stern-Gerlach experimental phenomena,it naturally introduces and clarifies the mathematical essence and internal relationships of the three core concepts:the wave function,operators,and the time-independent Schrdinger equation,thereby helping students establish a clear basic framework for quantum mechanics.Subsequently,fundamental concepts of quantum mechanics,such as the probabilistic interpretation of the wave function and the uncertainty principle,are derived from this framework,achieving systematic knowledge construction.The teaching deeply integrates visualization tools to make abstract mathematical concepts and physical images intuitive.Teaching practice shows that this design helps students understand quantum mechanics from the“first principles”,facilitates interdisciplinary knowledge transfer,and cultivates the key ability in the AI era to solve problems using underlying logic rather than memorizing fragmented information.It provides new insights for the reform of theoretical courses in chemistry and related disciplines.
LI Hai-Bei, SHA Sha, LI Heng-Ting, WANG Xin-Yan, ZHOU Mei-Juan, QI Ming-Ying, QIAO Li-Na. Seeking Source,Reconstructing,Visualization:A New Paradigm for Teaching Quantum Mechanics Fundamentals in Structural Chemistry in the AI Era: Rebuilding the Cognitive Framework Based on the Underlying Logic of Linear Algebra[J]. Chinese Journal of Chemical Education, 2026, 47(16): 20-28.
