Cultivating Student Loyalty in Higher Education Through AI-Driven Service Quality and Learning Stickiness

Haiyun Shi

doi:10.63313/IJED.9105

Authors

Haiyun Shi Al-Farabi Kazakh National University, Almaty 050040, Kazakhstan Author

DOI:

https://doi.org/10.63313/IJED.9105

Keywords:

Artificial Intelligence, Higher Education, Service Quality, Learning Stickiness, Student Loyalty

Abstract

With the development of artificial intelligence in recent years, many improvements have been made to the services offered by higher education institutions for students. Student loyalty is now an important index of the institutional competitiveness, as the more loyal the students, the stronger their sense of belonging to the school. Based on research, Artificial Intelligence is expected to meet the diverse learning needs and motivation requirements of all students for their studies and life better. Learning Stickiness is a necessary condition for the long-term engagement of students in the school system. The paper also raises problems such as privacy, technological imbalance and human-centered education in this situation to put forward some ideas for the development of universities under responsible AI.

References

[1] Kalai M ,Becha H ,Helali K .Effect of artificial intelligence on economic growth in European countries: a symmetric and asymmetric cointegration based on linear and non-linear ARDL approach[J]. Journal of Economic Structures,2024,13(1):22-22.

[2] Yang C ,Tian H ,Liu Y .Advanced Artificial Intelligence Drivers and IoT Network Systems for Data Collection and Network Transmission in the Industry 5.0 Era[J].International Journal of High Speed Electronics and Systems,2024,(prepublish):DOI:10.1142/S012915642540124X.

[3] Saleh N S ,Elagamy N M ,Saleh M N Y , et al.An Explainable Deep Learning-Enhanced IoMT Model for Effective Monitoring and Reduction of Maternal Mortality Risks[J]. Future Internet,2024,16(11):411-411.

[4] Echefu G ,Batalik L ,Lukan A , et al.The Digital Revolution in Medicine: Applications in Cardio-Oncology[J].Current Treatment Options in Cardiovascular Medicine,2024,27(1):2-2.