An Information Service Platform for Decision Support in Academic Admissions Using Data Fabrics and Artificial Intelligence

Pinyaphat Tasatanattakool; Krommavut Nongnuch; Panita Wannapiroon; Prachyanun Nilsook

doi:10.3991/ijim.v17i21.41757

Authors

Pinyaphat Tasatanattakool Rajamangala University of Technology Suvarnabhumi https://orcid.org/0000-0002-3296-669X
Krommavut Nongnuch Rajamangala University of Technology Suvarnabhumi https://orcid.org/0000-0002-3492-9745
Panita Wannapiroon King Mongkut’s University of Technology North Bangkok
Prachyanun Nilsook King Mongkut’s University of Technology North Bangkok

DOI:

https://doi.org/10.3991/ijim.v17i21.41757

Keywords:

information service platform, decision support system, academic admission, data fabrics, artificial intelligence

Abstract

This paper presents the architecture of an information service platform for decision support in academic admissions, utilizing data fabrics and artificial intelligence. The factors affecting students’ further education can be classified into four main types: (1) the course, (2) image, (3) personal reasoning of the student, and (4) public relations. The process of providing information for decision support in academic admissions can be divided into six stages: (1) collecting information, (2) matching study guidance, (3) recommending appropriate education, (4) confirming information, (5) assessing student admissions, and (6) providing feedback. Data fabric is an increasingly popular technology application for data management. The data fabric architecture consists of six layers: (1) an augmented data catalog, (2) a knowledge graph enriched with semantics, (3) metadata activation, (4) a recommendation engine for active metadata, (5) data preparation and integration, and (6) orchestration and data operations. A smart decision support system (DSS) technology is used to assist in decision-making. The results showed that this architecture has an excellent level of suitability (mean = 4.56, standard deviation = 0.35). It can be applied to a university to help it become a digital university and align with its mission.