Article: Journalism and communication professional personnel training and precise teaching methods based on artificial intelligence Journal: International Journal of Continuing Engineering Education and Life-Long Learning (IJCEELL) 2025 Vol.35 No.8 pp.74 - 91 Abstract: With the rapid development of media technology, the role of journalism and communication education in higher institutions has become increasingly critical. This study investigates how artificial intelligence (AI) and big data technologies can enhance the accuracy and effectiveness of journalism and communication teaching. Focusing on four universities in Jiangsu Province, the research evaluates key factors influencing teaching quality and explores AI-driven precise teaching methods. Results show an average score of 79.55, indicating significant improvement in classroom instruction and talent training. The findings provide valuable references for optimising journalism education and offer new insights into integrating AI into teaching practices, ultimately supporting more efficient and targeted communication professional development. Inderscience Publishers - linking academia, business and industry through research

Title: Journalism and communication professional personnel training and precise teaching methods based on artificial intelligence

Authors: Xuhui Zhu; Ziwen Wang

Addresses: School of Humanities, Tiangong University, Tian'jin 300387, Tian'jin, China ' School of Fine Arts, Jiangxi Normal University of Science and Technology, Nanchang 330038, Jiangxi, China

Abstract: With the rapid development of media technology, the role of journalism and communication education in higher institutions has become increasingly critical. This study investigates how artificial intelligence (AI) and big data technologies can enhance the accuracy and effectiveness of journalism and communication teaching. Focusing on four universities in Jiangsu Province, the research evaluates key factors influencing teaching quality and explores AI-driven precise teaching methods. Results show an average score of 79.55, indicating significant improvement in classroom instruction and talent training. The findings provide valuable references for optimising journalism education and offer new insights into integrating AI into teaching practices, ultimately supporting more efficient and targeted communication professional development.

Keywords: big data; artificial intelligence; college journalism communication course; precise teaching method.

DOI: 10.1504/IJCEELL.2025.149036

International Journal of Continuing Engineering Education and Life-Long Learning, 2025 Vol.35 No.8, pp.74 - 91

Received: 08 Feb 2025
Accepted: 27 Jun 2025
Published online: 10 Oct 2025 *

Title: Journalism and communication professional personnel training and precise teaching methods based on artificial intelligence

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