Proceedings of the 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025)

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Evaluation of the Effectiveness of AI-Enabled Journalism Education Based on Empirical Research

Authors
Huiwen Zhang1, *, Haiming Long1
1Dongguan City University, No. 1 Wenchang Road, Liaobu Town, Dongguan, Guangdong, China
*Corresponding author. Email: Zhanghuiwen@dgcu.edu.cn
Corresponding Author
Huiwen Zhang
Available Online 15 June 2025.
DOI
10.2991/978-94-6463-750-2_11How to use a DOI?
Keywords
Generative AI; Future Education; Personalized Learning; Journalism and Communication Studies
Abstract

Artificial intelligence (AI) technology presents new opportunities for journalism and communication education in higher education institutions. Addressing issues such as theoretical learning fatigue, insufficient practice opportunities, and unequal resource distribution, this paper establishes an AI-enabled teaching framework encompassing three key aspects: theoretical learning, practical operation, and comprehensive evaluation. Based on a comparative study between an experimental group and a control group, using students from the Network and New Media program at Dongguan City University as samples, this research evaluates the effectiveness of AI in enhancing learning outcomes and optimizing teaching models through performance, behavioral data, and survey analysis. The findings demonstrate that AI significantly promotes personalized learning and practical skill development, though challenges remain in technical adaptability and resource allocation. This paper offers specific recommendations for teaching optimization, providing valuable insights for educational innovation and policymaking.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025)
Series
Atlantis Highlights in Social Sciences, Education and Humanities
Publication Date
15 June 2025
ISBN
978-94-6463-750-2
ISSN
2667-128X
DOI
10.2991/978-94-6463-750-2_11How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Huiwen Zhang
AU  - Haiming Long
PY  - 2025
DA  - 2025/06/15
TI  - Evaluation of the Effectiveness of AI-Enabled Journalism Education Based on Empirical Research
BT  - Proceedings of the 2025 4th International Conference on Educational Innovation and Multimedia Technology (EIMT 2025)
PB  - Atlantis Press
SP  - 119
EP  - 126
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-750-2_11
DO  - 10.2991/978-94-6463-750-2_11
ID  - Zhang2025
ER  -