Development Status of Computer Experiment Assisted Teaching in Colleges and Universities and its Urgent

Authors

  • Stefa Zwig
  • Has Kesen

DOI:

https://doi.org/10.54097/hv928175

Keywords:

Colleges and Universities, Computer Labs, Aided Teaching and Learning

Abstract

This paper explores the evolving role of computer experiment-assisted teaching in higher education, focusing on the development and challenges faced in China's college systems. It examines the characteristics that distinguish computer lab-assisted instruction from traditional methods, including its operational and practical applications that significantly contribute to the cultivation of application-oriented talents. By analyzing the current status, the paper identifies several pressing issues such as poor management of online assignments, inadequate security measures, and limited system functionality which hinder the effectiveness of computer-assisted teaching environments. Proposed solutions emphasize a systematic, scalable, and teaching-focused design for computer-assisted teaching systems, aiming to enhance the educational experience and operational efficiency. The paper concludes by discussing the implications of integrating advanced technologies in computer labs to expand learning opportunities and improve resource utilization.

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References

Aithal, P. S., & Aithal, S. (2023). The changing role of higher education in the era of AI-based GPTs. International Journal of Case Studies in Business, IT, and Education (IJCSBE), 7(2), 183-197.

Andriessen, J., & Sandberg, J. (1999). Where is education heading and how about AI. International Journal of Artificial Intelligence in Education, 10(2), 130-150.

Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245.

Kim, J., & Shim, J. (2022). Development of an AR-based AI education app for non-majors. IEEE Access, 10, 14149-14156.

Kim, J., Merrill, K., Xu, K., & Sellnow, D. D. (2020). My teacher is a machine: Understanding students’ perceptions of AI teaching assistants in online education. International Journal of Human–Computer Interaction, 36(20), 1902-1911.

Borenstein, J., & Howard, A. (2021). Emerging challenges in AI and the need for AI ethics education. AI and Ethics, 1, 61-65.

Li, X., Wang, X., Chen, X., Lu, Y., Fu, H., & Wu, Y. C. (2024). Unlabeled data selection for active learning in image classification. Scientific Reports, 14(1), 424.

Liang, Y., Wang, X., Wu, Y. C., Fu, H., & Zhou, M. (2023). A Study on Blockchain Sandwich Attack Strategies Based on Mechanism Design Game Theory. Electronics, 12(21), 4417.

Lee, Zhitong, Ying Cheng Wu, and Xukang Wang. "Automated Machine Learning in Waste Classification: A Revolutionary Approach to Efficiency and Accuracy." Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition. 2023.

Guo, H., Ma, Z., Chen, X., Wang, X., Xu, J., & Zheng, Y. (2024). Generating Artistic Portraits from Face Photos with Feature Disentanglement and Reconstruction. Electronics, 13 (5), 955.

Wang, X., Wu, Y. C., Ma, Z. (2024). Blockchain in the courtroom: exploring its evidentiary significance and procedural implications in U.S. judicial processes. Frontiers in Blockchain, 7, 1306058.

Lehtinen, R., & Gangemi Sr, G. T. (2006). Computer security basics: computer security. " O'Reilly Media, Inc.".

Landwehr, C. E. (1983). The best available technologies for computer security. Computer, 16(07), 86-100.

Richards, N. M., & Solove, D. J. (2010). Prosser's privacy law: A mixed legacy. Calif. L. Rev., 98, 1887.

Hsiao, D. K., Kerr, D. S., & Madnick, S. E. (2014). Computer security. Academic Press.

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Published

08-05-2024

Issue

Section

Articles

How to Cite

Zwig, S., & Kesen, H. (2024). Development Status of Computer Experiment Assisted Teaching in Colleges and Universities and its Urgent. Journal of Education and Educational Research, 8(2), 59-61. https://doi.org/10.54097/hv928175