Skip to main content

Advertisement

SpringerLink
Log in

Construction and implementation of mobile learning system for higher education based on modern wireless network mobile communication terminal technology

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

With the rapid development of wireless technology and Mobile communication technology worldwide, Mobile Learning represents a new learning trend in the field of higher education, and has gradually become the development trend and research hotspot of independent learning and lifelong learning. Based on modern wireless network mobile communication terminal technology, this paper proposes a Granott model-driven mobile learning system. Firstly, the Granott model is studied and analyzed, and the ubiquitous computing with physical integration and spontaneous interoperation is used to control the Android mobile terminal, which greatly improves the interactivity of M-Learning. Then JSON is selected to optimize the data transmission format in Ajax, and j Query is used to parse JSON data. Ajax + JSON + j Query can shield the complexity of DOM parsing XML files, greatly shorten the data transmission time and improve the efficiency of Granott model. Finally, the Fast kernel density estimation (Fast KDE) algorithm is introduced to compress the data transmitted by Ajax + JSON + j Query, so as to obtain a reasonable number of training samples. Through experiments and relevant data analysis, the proposed mobile learning system based on modern wireless network mobile communication terminal technology, optimized by JSON and Fast KDE algorithm, driven by Granott model, can efficiently complete the learning task, and improve the ubiquity, interactivity, timeliness of mobile learning.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

Data availability

The experimental data used to support the findings of this study are available from the corresponding author upon request.

References

  1. Xiao, Y. Q. (2012). Building M-learning system based on wireless network in colleges. In International Conference on Network Computing and Information Security (pp. 798–803). Berlin, Heidelberg: Springer.

  2. Yang, G., & Xu, X. (2010). Current status and future development of learning interaction—From classroom learning to e-Learning, M-Learning to U-Learning. China Electrochemical Education, 7, 52–58.

    Google Scholar 

  3. Ye, C., Xu, F., & Xu, J. (2004). A review of mobile learning research. Journal of Electronic Education Research, 3, 12–19.

    Google Scholar 

  4. Gao, R., & Zhu, R. (2016). Research on mobile learning platform based on wireless network environment. Network Security Technology and Application, 12, 106–106.

    Google Scholar 

  5. Hua, C. (2013). Construction of mobile learning system based on university wireless network. Journal of Changsha Communications Vocational and Technical College, 12(4), 34–36.

    Google Scholar 

  6. Li, S., Yang, B., & He, W. (2013). Analysis of system environment of mobile learning from the perspective of wireless network technology—Based on related case studies at home and abroad. Software Guide, 12(9), 170–172.

    Google Scholar 

  7. Li, J., & Wang, Y. (2011). Wireless network technology in mobile learning. Industry and Technology Forum, 15, 74–74.

    Google Scholar 

  8. Fan, T., & Ye, H. (2008). Application of mobile multimedia based on wireless network in education. Software Guide. Educational Technology, 7(6), 80–81.

    Google Scholar 

  9. Pal, S., Mukherjee, S., & Choudhury, P., et al. (2013). M-learning in university campus scenario-Design and implementation issues. In 2013 IEEE International Conference on Industrial Technology (ICIT) (pp. 1851–1856). IEEE.

  10. Min, H., & Xiaoqing, F. (2010). Prospective view on m-learning via wireless handheld devices and its application. In 2010 Second International Workshop on Education Technology and Computer Science (Vol. 1, pp. 728–731). IEEE,.

  11. Qu, Z., & Qi, Y. (2008) Application of WAP PUSH in M-learning. In 2008 International Workshop on Education Technology and Training and 2008 International Workshop on Geoscience and Remote Sensing (Vol. 1, pp. 3–6). IEEE.

  12. Khan, A. I., Al-Khanjari, Z., & Sarrab, M. (2016). Crowd sourced testing through end users for Mobile Learning application in the context of Bring Your Own Device. In 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (pp. 1–6). IEEE.

  13. Hejazinia, M., & Razzazi, M. R. (2010). M-learning system over MANET on mobile phones. In 2010 4th International Conference on Distance Learning and Education (pp. 125–128). IEEE.

  14. Amin, A. H. M., Mahmud, A. K., Abidin, A. I. Z., et al. (2006). M-learning management tool development in campus-wide environment. Issues in Informing Science & Information Technology, 3, 423–435.

    Article  Google Scholar 

  15. Shkodrova, R., & Dochev, D. (2006). Distance learning through mobile devices–some problems and applications. Cybernetics and Information Technologies, 6(2).

  16. Lam, J., Yau, J., & Cheung, S. K. S. (2010). A review of mobile learning in the mobile age. In International Conference on Hybrid Learning (pp. 306–315). Berlin, Heidelberg: Springer.

  17. Campanella, P. (2012). Mobile learning: New forms of education. In 2012 IEEE 10th International Conference on Emerging Elearning Technologies and Applications (ICETA) (pp. 51–56). IEEE.

  18. Xu, B., Wu, J., & Zhang, L. (2012). Research on a mobile collaborative learning system based on Granott model. Computer Applications and Software, 29(9), 71–74.

    Google Scholar 

  19. Cassim, K. M., & Eyono Obono, S. D. (2012). Experimenting on the added value of M-learning for the teaching of word problems.

  20. Boja, C., & Zamfiroiu, A. (2013). Input methods in mobile learning environments. Studies in Informatics and Control, 22(4), 329–338.

    Article  Google Scholar 

  21. Tang, Y., Liu, Q., & Wang, L. (2010). The application of flash into M-learning in 3G initial stage. In 2010 Third International Symposium on Knowledge Acquisition and Modeling (pp. 348–351). IEEE.

  22. Rimale, Z., Benlahmar, E., & Tragha, A., et al. (2016). Survey on the use of the mobile learning based on mobile cloud computing. International Journal of Interactive Mobile Technologies, 10(3).

  23. Fetaji, M., & Fetaji, B. (2011). Devising m-learning usability framework. In Proceedings of the ITI 2011, 33rd International Conference on Information Technology Interfaces (pp. 275–280). IEEE.

  24. Abu-Al-Aish, A., Love, S., & Hunaiti, Z. (2012). Mathematics students’ readiness for mobile learning. International Journal of Mobile and Blended Learning (IJMBL), 4(4), 1–20.

    Article  Google Scholar 

  25. Sarrab, M., Al-Shihi, H, & Khan, A. I. (2015). An empirical analysis of mobile learning (m-learning) awareness and acceptance in higher education[C]. In 2015 International Conference on Computing and Network Communications (CoCoNet) (pp. 960–963). IEEE.

  26. Gong, C., & Hu, J. (2010). The design and development of 3G English M-learning platform. In 2010 International Conference on Internet Technology and Applications (pp. 1–4). IEEE.

  27. Hu, J., Weng, X., Yang, L., Lei, S., & Niu, H. (2022). Centrifugal modeling test on failure characteristics of soil-rock mixture slope under rainfall. Engineering Failure Analysis, 142, 106775.

    Article  Google Scholar 

  28. Zhong, P., & Zheng, G. (2011). Research on the application of M-Learning based on intelligent mobile devices. In 2011 IEEE International Symposium on IT in Medicine and Education (Vol. 1, pp. 239–243). IEEE.

  29. Boja, C., Batagan, L., & Doinea, M., et al. (2010). Secure Bluetooth services in an m-learning environment. In The Proceedings of the 9th WSEAS International Conference on SOFTWARE NGINEERING, PARALLEL and DISTRIBUTED SYSTEMS (SEPADS'10) (pp. 20–22).

  30. Boja, C., & Batagan, L. (2009). Analysis of m-learning applications quality. WSEAS Transactions on Computers, 8(5), 767–777.

    Google Scholar 

Download references

Funding

There is no specific funding to support this research.

Author information

Authors and Affiliations

  1. Modern Educational Technology Center, Hebei GEO University, Shijiazhuang, 050031, China

    Weihua Zhao

  2. Educational Technology Center, Hebei University of Engineering, Handan, 056038, China

    Zhiying Chang

Authors
  1. Weihua Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Zhiying Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Zhiying Chang.

Ethics declarations

Conflict of interest

The authors declared that they have no conflicts of interest regarding this work.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhao, W., Chang, Z. Construction and implementation of mobile learning system for higher education based on modern wireless network mobile communication terminal technology. Wireless Netw (2023). https://doi.org/10.1007/s11276-023-03320-w

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11276-023-03320-w

Keywords

Search

Navigation