AI-Empowered Pathways for Cultivating Chemistry Talents:Development of AI-Based Teaching Assistance System for Gas Chromatography Data Analysis on the NK-GeniOS Platform
JIANG Hao-Yang, CHANG Zheng-Xuan, ZHAO Wei-Guang*
College of Chemistry,Nankai University,Tianjin 300071,China
Abstract This study focuses on the intelligent analysis of gas chromatography data and its deep integration with teaching scenarios.Based on the AI-powered educational innovation platform(NK-GeniOS),we have developed an AI-based gas chromatography analysis teaching assistant system specifically for halogenated alkane preparation experiments.By integrating multimodal AI tools through Python scripting,a dual-channel interactive intelligent engine was created,enabling batch recognition,component analysis,and experimental evaluation of gas chromatography data.The student interface allows autonomous data uploading,acquisition of experimental improvement suggestions,and generation of personalized reports via a visual interface,while the teacher interface facilitates rapid identification of class-wide experimental trends,common issues,and anomalies for targeted instruction.In the teaching process,a task-driven learning model was adopted and implemented through collaborative interest groups.Technical approaches and problem-solving strategies were shared among peers via slide presentations and problem-solving discussions,fostering in-depth exchanges.This process embodies the hierarchical empowerment educational philosophy,enabling all students to engage in research experiences at varying levels,while pioneering new pathways for cultivating innovative talents in the AI era.
JIANG Hao-Yang, CHANG Zheng-Xuan, ZHAO Wei-Guang. AI-Empowered Pathways for Cultivating Chemistry Talents:Development of AI-Based Teaching Assistance System for Gas Chromatography Data Analysis on the NK-GeniOS Platform[J]. Chinese Journal of Chemical Education, 2025, 46(24): 53-60.
