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

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.

Author Biographies

Pinyaphat Tasatanattakool, Rajamangala University of Technology Suvarnabhumi

 

 

Krommavut Nongnuch, Rajamangala University of Technology Suvarnabhumi

 

 

 

Panita Wannapiroon, King Mongkut’s University of Technology North Bangkok

 

 

Prachyanun Nilsook, King Mongkut’s University of Technology North Bangkok

 

 

Cover iJIM – Vol 17, No 21, 2023

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Published

2023-11-15

How to Cite

Tasatanattakool, P., Nongnuch, K., Wannapiroon, P., & Nilsook, P. (2023). An Information Service Platform for Decision Support in Academic Admissions Using Data Fabrics and Artificial Intelligence. International Journal of Interactive Mobile Technologies (iJIM), 17(21), pp. 34–49. https://doi.org/10.3991/ijim.v17i21.41757

Issue

Vol. 17 No. 21 (2023)

Section

Papers

License

Copyright (c) 2023 Pinyaphat Tasatanattakool, Krommavut Nongnuch; Panita Wannapiroon, Prachyanun Nilsook

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This work is licensed under a Creative Commons Attribution 4.0 International License.

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