[Design and practice of integrating artificial intelligence into the teaching of "Synthetic Biology" under the background of discipline crossing].

Synthetic Biology artificial intelligence discipline crossing teaching reform

Journal

Sheng wu gong cheng xue bao = Chinese journal of biotechnology
ISSN: 1872-2075
Titre abrégé: Sheng Wu Gong Cheng Xue Bao
Pays: China
ID NLM: 9426463

Informations de publication

Date de publication:
25 Sep 2024
Historique:
medline: 25 9 2024
pubmed: 25 9 2024
entrez: 25 9 2024
Statut: ppublish

Résumé

In recent years, artificial intelligence has been employed to empower synthetic biology, demonstrating great potential in the simulation and prediction of protein structures as well as the design and optimization of regulatory elements and metabolic networks. Integrating artificial intelligence into the teaching of Synthetic Biology is in line with the development trends of synthetic biology and can promote the cultivation of interdisciplinary high-level talents and collaborative innovation. This paper expounds the idea of integrating artificial intelligence into the teaching of Synthetic Biology from establishing interdisciplinary course contents and teaching methods, simultaneously considering the fundamentals and application of artificial intelligence in synthetic biology, cultivating independent learning and innovative practice abilities, and enhancing the ethics education related to artificial intelligence. Furthermore, a system integrating artificial intelligence with the teaching contents of Synthetic Biology is designed, which focuses on supplementing fundamentals of artificial intelligence and incorporating artificial intelligence into the classroom and experimental teaching contents of Synthetic Biology. Moreover, with the course of Synthetic Biology in Jiangnan University as an example, this paper presents the pathway of integrating artificial intelligence into the teaching of this course under the background of discipline crossing. Finally, the teaching effects are expected.

Identifiants

pubmed: 39319740
doi: 10.13345/j.cjb.240317
doi:

Types de publication

Journal Article

Langues

chi

Sous-ensembles de citation

IM

Pagination

3282-3295

Auteurs

Kai Wang (K)

School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China.

Xiaoli Luan (X)

School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, Jiangsu, China.

Jingwen Zhou (J)

School of Biotechnology, Jiangnan University, Wuxi 214122, Jiangsu, China.
Science Center for Future Foods, Jiangnan University, Wuxi 214122, Jiangsu, China.

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Classifications MeSH