Exploring Innovative Models to Promote the Development of Java Teaching

Exploring Innovative Models to Promote the Development of Java Teaching

Authors

  • Xinfei Zhao Wuhan Huaxia Institute of Technology, Wuhan City, Hubei Province 430223

DOI:

https://doi.org/10.53469/wjimt.2025.08(03).02

Keywords:

Java teaching, Innovative mode, Effect

Abstract

With the rapid development of information technology, the importance of Java language in the field of software development is increasingly prominent. However, the traditional Java teaching model to some extent limits the cultivation of students' innovative and practical abilities. Based on this, this article analyzes the current status of Java teaching and proposes several innovative teaching models, including project-based teaching method, blended online and offline teaching, practice oriented course design, and the introduction of open source community resources. It also explores the positive role of these models in enhancing students' learning interest, practical ability, and teaching effectiveness, providing useful references for promoting the development of Java teaching.

References

Yan, H., Wang, Z., Xu, Z., Wang, Z., Wu, Z., & Lyu, R. (2024, July). Research on image super-resolution reconstruction mechanism based on convolutional neural network. In Proceedings of the 2024 4th International Conference on Artificial Intelligence, Automation and High Performance Computing (pp. 142-146).

Zheng, S., Liu, S., Zhang, Z., Gu, D., Xia, C., Pang, H., & Ampaw, E. M. (2024). Triz method for urban building energy optimization: Gwo-sarima-lstm forecasting model. arXiv preprint arXiv:2410.15283.

Wang, J., & Li, X. (2024). Dynamic Optimization of Transportation Networks in Logistics Using Long Short-Term Memory Neural Networks.

Tang, Y., Zhao, S., & Yanjun, C. (2024). Regional Housing Supply and Demand Imbalance Qualitative Analysis in US based on Big Data.

Wu, W. (2025). Optimizing Image Classification Models for Cloud Infrastructure with Elastic Scaling.

Ge, J. (2022). The Failure of International Diplomacy and Economic Sanctions in Response to Japan’s Aggression in East Asia, 1931-1937. Available at SSRN 4817444.

Diao, S., Wan, Y., Huang, D., Huang, S., Sadiq, T., Khan, M. S., ... & Mazhar, T. (2025). Optimizing Bi-LSTM networks for improved lung cancer detection accuracy. PLOS ONE, 20(2), e0316136.

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Published

2025-03-11

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Section

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