Reforming the Digital Electronics Technology Course: A Case Study in Bridging Theory and Practice for Emerging Engineering Education
Keywords:
Emerging engineering education, Digital electronics technology, Teaching reformAbstract
The continuous advancement of engineering education reform has placed new demands on the curriculum system and talent cultivation. As a foundational course for engineering majors, the digital electronics technology course has revealed many problems in teaching content and other aspects, making it difficult to meet the goal of cultivating interdisciplinary engineering talents under the emerging engineering education background. Based on this, this paper explores four strategies — “updating the content system,” “integrating diverse methods,” “consolidating experimental resources,” and “introducing project-based teaching” — and proposes teaching reform strategies that better align with the requirements of the times, emphasizing the close integration of knowledge transmission and capability development, aiming to provide useful insights for university teachers.
References
Zhang, X. (2024). Research on Dynamic Adaptation of Supply and Demand of Power Emergency Materials based on Cohesive Hierarchical Clustering. Innovation & Technology Advances, 2(2), 59–75. https://doi.org/10.61187/ita.v2i2.135
Wang, J., Dong, J., & Zhou, L. (2025). Research on Short-Video Platform User Decision-Making via Multimodal Temporal Modeling and Reinforcement Learning: Deep Learning for User Decision Behavior. Journal of Organizational and End User Computing (JOEUC), 37(1), 1-24.
Junxi, Y., Wang, Z., & Chen, C. (2024). GCN-MF: A graph convolutional network based on matrix factorization for recommendation. Innovation & Technology Advances, 2(1), 14–26. https://doi.org/10.61187/ita.v2i1.30
Su, Z., Yang, D., Wang, C., Xiao, Z., & Cai, S. (2025). Structural assessment of family and educational influences on student health behaviours: Insights from a public health perspective. Plos one, 20(9), e0333086.
Yang, Y. (2025). Research on Site Reliability Optimization Technology Based on Synthetic Monitoring in Cloud Environments.
Zhang, T. (2025). A Neuro-Symbolic and Blockchain-Enhanced Multi-Agent Framework for Fair and Consistent Cross-Regulatory Audit Intelligence.
Zhang, X. (2024). Research on Dynamic Adaptation of Supply and Demand of Power Emergency Materials based on Cohesive Hierarchical Clustering. Innovation & Technology Advances, 2(2), 59–75. https://doi.org/10.61187/ita.v2i2.135
Tang, Z., Feng, Y., Zhang, J., & Wang, Z. (2026). SVD-BDRL: A trustworthy autonomous driving decision framework based on sparse voxels and blockchain enhancement. Alexandria Engineering Journal, 134, 433-446.
Lu, K., Sui, Q., Chen, X., & Wang, Z. (2025). NeuroDiff3D: a 3D generation method optimizing viewpoint consistency through diffusion modeling. Scientific Reports, 15(1), 41084.
Bi, Y., & Su, T. (2025). A secure access method in English education network based on edge computing. Alexandria Engineering Journal, 128, 1125-1133.
Guo, Y. (2025). The Optimal Trajectory Control Using Deterministic Artifi cial Intelligence for Robotic Manipulator. Industrial Technology Research, 2(3).
Peng, Qucheng, et al. "RAIN: regularization on input and network for black-box domain adaptation." Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. 2023.
Zhang, Yujun, et al. "MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic." arXiv preprint arXiv:2507.00304 (2025).
Chen, J., Zhang, X., Wu, Y., Ghosh, S., Natarajan, P., Chang, S. F., & Allebach, J. (2022). One-stage object referring with gaze estimation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 5021-5030).
Tan, C., Gao, F., Song, C., Xu, M., Li, Y., & Ma, H. (2024). Proposed Damage Detection and Isolation from Limited Experimental Data Based on a Deep Transfer Learning and an Ensemble Learning Classifier.
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Copyright (c) 2025 Luying Xi
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