Research on Cultivation Path of High-Quality Achievements in Science and Technology Competitions for Chemistry Majors Based on Artificial Intelligence

Abstract

To address the bottlenecks in chemistry innovation competitions for university students, such as insufficient novelty, lack of interdisciplinary integration, and monotonous technical methods, this study explores a pathway for cultivating high-quality outcomes using artificial intelligence (AI) technology, aiming to enhance the educational impact of competitions. Through theoretical construction and empirical analysis, combined with the characteristics of chemistry disciplines and competition evaluation, a "six-in-one" cultivation pathway is established, encompassing intelligent topic selection, precise research, data empowerment, outcome refinement, defense improvement, and result transformation. Additionally, five major support systems are formed: platform construction, curriculum integration, faculty empowerment, institutional guarantees, and evaluation incentives. The results indicate that this pathway significantly enhances students' interdisciplinary thinking and research efficiency, substantially improving the technical novelty, scientific depth, and transformation potential of project outcomes. It also increases award rates and produces high-level papers and patents. AI not only provides robust tool support for chemistry competitions but also drives a paradigm shift from "experi-ence-driven" to "data-intelligence-driven" approaches, offering a replicable pathway for cultivating top-tier innovative talents and constructing high-quality competition cultivation systems.