Citation:
Tianlong Zhang, Rongling Zhang, Hongsheng Tang, Yan Li, Hua Li. Exploration on the Integration Mode of Instrumental Analysis with Science and Education under the Background of Artificial Intelligence Era[J]. University Chemistry,
;2024, 39(8): 365-374.
doi:
10.12461/PKU.DXHX202403014
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Facing the challenges of traditional instrumental analytical methods in dealing with more complex chemical samples, more trace chemical analysis and more precise chemical measurements, this paper proposes a strategy for gradually integrating artificial intelligence into the applied research and teaching practice of scientific instrument analysis. By adopting a new paradigm of scientific research, the research and development and application of analytical instruments are discussed. From the perspective of integrating science and education, this approach aims to enhance experimental teaching effectiveness through artificial intelligence methods, and to integrate the virtual simulation experiment, intelligent experimental data analysis, and diversified intelligent evaluation. Leveraging the new technology of artificial intelligence, we align with contemporary trends to cultivate high-quality talents possessing comprehensive scientific knowledge, innovative abilities, and social responsibility, thereby fulfilling the fundamental task of fostering virtues and cultivating talents in higher education.
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