Skip to main navigation menu Skip to main content Skip to site footer

Research Article

Vol. 1 No. 2 (2025): International Journal of Multidisciplinary Research

Research on the "Digital Divide" Problem in Artificial Intelligence Education Management Innovation

  • Qin Chen
  • Zhudro M.K
DOI
https://doi.org/10.65231/ijmr.v1i2.54
Submitted
December 4, 2025
Published
2025-11-30

Abstract

The deep integration of artificial intelligence (AI) technology with education management is profoundly transforming education governance models towards precision, personalization, and intelligence. However, while the technological wave brings efficiency, it may also exacerbate or create new inequalities—the "digital divide . " Therefore, bridging the digital divide is a crucial measure to promote balanced educational development and achieve educational modernization. This paper expands research on the "digital divide" from the access level to the level of capabilities and benefits, and integrates it with theories of technological innovation and education, providing a new framework for promoting the healthy and sustainable development of AI-enabled education management.

References

  1. Kitsara, I. (2022). Artificial intelligence and the digital divide: From an innovation perspective. In Platforms and artificial intelligence: The next generation of competences (pp. 245-265). Cham: Springer International Publishing.
  2. Antonio Cedeño-Salazar, P., Milena Vera-Carrasco, L., Grey Morales-Cobos, S., & Carlos Briones-Macías, J. (2025). Towards Inclusive Higher Education: Challenges and Opportunities of Artificial Intelligence in Addressing the Digital Divide. Pakistan Journal of Life & Social Sciences, 23(1).
  3. Božić, V. (2023). Artifical intelligence as the reason and the solution of digital divide. Language Education and Technology, 3(2).
  4. Gu, Y., Feng, G., & Li, Y. (2025). Research on the impact mechanism of environmental economics on study tour education: Transnational cases and student capacity building. Journal of Global Trends in Social Science, 2(8), 46-52.
  5. Gu, Y., Wang, Y., Wang, X., & Wang, Z. (2025). Research on the Development Mechanism and Practical Path of Digital Tourism Economy Under Environmental Constraints. Journal of Global Trends in Social Science, 2(10).
  6. Li, B. (2025, September). AD-STGNN: Adaptive diffusion spatiotemporal GNN for dynamic urban fire vehicle dispatch and emergency response. In Third International Conference on Remote Sensing, Mapping, and Geographic Information Systems (RSMG 2025) (Vol. 13791, pp. 810-815). SPIE.
  7. Gu, Y., & Wang, Y. (2025). The Impact of Artificial Intelligence on Labor Market Income Inequality. International Journal of Advanced Science, 1(2), 8-13.