Toward Optimization of Integrated Management of Dispersed and Siloed Educational Data for Human Resource and Student Information Management
Authors: Li Yuchen
Advisers
Dr. Daniel W. Barrenechea
Discipline
Engineering, Information, And Communication Technology
Abstract
This study uses the Information Systems Success Model (ISSM) to investigate university staff and students’ satisfaction with the current information system. By surveying staff and students regarding their optimization needs and acceptance of the current system, this study proposes optimization recommendations and constructs a preliminary data warehouse model. This study employs a descriptive design and a questionnaire sampling method for data collection and statistical analysis. Stratification is performed based on user identity to reflect differences among user roles. The current limitation of this study is that investigating the optimization needs and acceptance of the existing system among teachers, students, and staff may not fully capture the specific needs of each department. The questionnaire results show that the current university system suffers from system silos, data fragmentation, and a lack of shared data resources. Although the existing system meets current daily work needs, students and faculty still have high expectations for the new system and are more willing to use it. The survey results showed that the existing system met the daily needs of teachers, students, and staff. However, the island effect in the school still existed, and staff and students expected a more integrated system. This study used a data warehouse to integrate multidimensional human resource and student information. It also developed a new multidimensional system that could make management more convenient.
Keywords
china, current system satisfaction, new system acceptance, data warehouse model, educational data management, human resource information management, student information management
How to Cite
Use the format below when citing articles from this publication.
APA 7th Edition
Yuchen, L. (2026). Toward Optimization of Integrated Management of Dispersed and Siloed Educational Data for Human Resource and Student Information Management. Ascendens Asia Journal of Multidisciplinary Research Abstracts, 8(3). Retrieved from https://ascendens.asia/AAJMRA/8/3/525
Ascendens Asia Journal of Multidisciplinary Research Abstracts (AAJMRA)
The Ascendens Asia Journal of Multidisciplinary Research Abstracts (AAJMRA) is a collection of abstracts of research papers presented during Multidisciplinary Research Fests (MRFs) mainly organised by Ascendens Asia Singapore as well as other research conferences in collaboration with various institutions and learned societies.
Volumes
10 volumes
Issues
3 issues
ISSN
2591-7064