The Architecture of Intelligent Career Prediction System based on the Cognitive Technology for Producing Graduates to the Digital Manpower

Pongsaton Palee,Prachyanun Nilsook,Panita Wannapiroon

doi:10.14569/ijacsa.2020.0111214

Pongsaton Palee, Prachyanun Nilsook + Show 1 more

Open Access

https://doi.org/10.14569/ijacsa.2020.0111214

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Abstract

This research is a documentary research aimed at designing the architecture of the intelligent career prediction system based on the cognitive technology for producing graduates to the digital manpower. The research methods were divided into three phases: Phase 1, Composition Synthesis of Intelligent Career Prediction System. Phase 2, Intelligent Career Prediction System Architecture Designing based on the Cognitive Technology for producing graduates to the digital manpower. Phase 3, an assessment of the suitability of the architecture of the intelligent career prediction system based on the cognitive technology for producing graduates to the digital manpower. The architecture of the intelligent career prediction system by using the cognitive technology can be divided into three parts: 1) People involved in the architecture of the intelligent career prediction system consisting of five groups of related persons: students, staff, teachers, digital Enterprises, system administrator. 2) The architecture of the intelligent career prediction system consisting of four components: 1) User management, 2. Prediction Data Management, 3) Prediction Management system, 4) Prediction Display system, and cloud computing, an assessment of the suitability the architecture of the intelligent career prediction system based on the cognitive technology for producing graduates to the digital manpower by nine experts in the intelligent career prediction system and cognitive technology. The statistics used in the research are Mean and standard deviation. The evaluation results showed that the developed architecture was the most suitable, with the combined mean of 4.54, and the standard deviation was 0.49.

Highlights

Educators who are interested in pursuing a career in the digital Manpower [3], provide planning and preparation for such careers, resulting in the university developing a modern curriculum to accommodate the digital Manpower of Standardized, Reliable, Flexible Management of Learning Objectives, especially the intelligent career prediction system that can analyze digital Manpower professions, and analyze what competencies students need in such professions to support the digital manpower in the upcoming Eastern Economic Corridor [4],[5]
Phase 2: The Designing of Intelligent Career Prediction System Architecture Designing based on the Cognitive Technology for Producing graduates to the digital manpower, Intelligent Career Prediction System Architecture based on the Cognitive Technology for Producing graduates to the digital manpower by logical design to provide a model of the architecture of Intelligent career prediction system based on the Cognitive Technology for Producing graduates to the digital manpower, which incorporates the concept of architecture development (Conceptual Framework)
Phase 3: An assessment of the suitability of the architecture of the intelligent career prediction system based on the cognitive technology for producing graduates to the digital manpower is an assessment of suitability by using nine qualified persons

Summary

Introduction

Education is the process of developing people in society to be competent, the educational system is an important factor for the growth and development of the country, as information technology and digital technology has changed and developed more and more, the world is moving towards In the age of digital manpower generation, educational institutions, especially universities, play an important role in producing graduates that meet the modern labor market needs, universities need to adapt still include: 1) Curriculum development is up to date in modern times and more important to keep up with the technology that changes the way of life of the people in society. 2) Technology, teaching and learning tools, practical teaching for students to do their work, learn to work as a team and to solve immediate problems. 3) Educational personnel must act as coaches, provide guidance in order to make students the center of learning. 4) Universities should have a network of educational institutions but must build a network of partnerships with private businesses in order to create opportunities for students [1],[2].Building the architecture of the intelligent career prediction system based on the cognitive technology for producing graduates to the digital manpower, to create a system for predicting further education of students who will enter the university, and guide students who are about to graduate. Educators who are interested in pursuing a career in the digital Manpower [3], provide planning and preparation for such careers, resulting in the university developing a modern curriculum to accommodate the digital Manpower of Standardized, Reliable, Flexible Management of Learning Objectives, especially the intelligent career prediction system that can analyze digital Manpower professions, and analyze what competencies students need in such professions to support the digital manpower in the upcoming Eastern Economic Corridor [4],[5] This architecture of the intelligent career prediction system based on the cognitive technology for producing graduates to the digital manpower presents a conceptual framework for the development of an information system model that combines the characteristics of the intelligent career prediction system with the cognitive technology to develop the genius career prediction system.

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Conclusion