Applicant's Decision Support System for Choosing the Direction of Study

Chekalev, Artyom A.; Khlobystova, Anastasiya O.; Tulupyeva, Tat'yana V.

doi:10.1109/scm55405.2022.9794902

Cited by 1 publication

(2 citation statements)

References 7 publications

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“…The user is indecisive about many research activities used in education. DSSs are considered to be more useful tools as they can select a student's course of study based on personal traits and skill interests, connect completed courses to major and minor requirements, and more [19][20][21].…”

Section: Literature Reviewmentioning

confidence: 99%

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

Tasatanattakool,

Nongnuch,

Wannapiroon

et al. 2023

Int. J. Interact. Mob. Technol.

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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.

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Section: Literature Reviewmentioning

confidence: 99%

“…One of the main reasons for this issue is making the wrong choice when selecting a university major. [20].…”

Section: Introductionmentioning

confidence: 99%