The Knowledge Repository Management System Architecture of Digital Knowledge Engineering using Machine Learning to Promote Software Engineering Competencies

Nattaphol Thanachawengsakul,Prachyanun Nilsook,Panita Wannapiroon

doi:10.3991/ijet.v14i12.10444

Abstract

The knowledge repository management system architecture of digital knowledge engineering using machine learning (KRMS-SWE) to promote software engineering competencies is comprised of four parts, as follows: 1) device service, 2) application service, 3) module service of the KRMS-SWE and 4) machine learning service and storage unit. The knowledge creation, storage, testing and assessing of students’ knowledge in software engineering is carried out using a knowledge verification process with machine learning and divided into six steps, as follows: pre-processing, filtration, stemming, indexing, data mining and interpretation and evaluation. The overall result regarding the suitability of the KRMS-SWE is  assessed by five experts who have high levels of experience in related fields. The findings reveal that this research approach can be applied to the future development of the KRMS-SWE.

Highlights

According to Thailand’s fifth workforce development strategy in the Digital Development Policy for the Economy and Society, Ministry of Digital Economy and Society, to move the nation forward and prepare for a digital economy and society, it is essential to implement digital technology in the economic system and in society [1]
Machine learning uses a method of data analysis and decodes the meaning of text data mined in a pre-processing step of data distribution or model recognition with the ability to carry out various tasks
A machine learning service and storage unit: Information storage service within the KRMS-SWE system connected via a PHP and JavaScript module service as well as a MySQL database, and comprising five elements as follows:

Summary

Introduction

According to Thailand’s fifth workforce development strategy in the Digital Development Policy for the Economy and Society, Ministry of Digital Economy and Society, to move the nation forward and prepare for a digital economy and society, it is essential to implement digital technology in the economic system and in society [1]. This policy focuses on developing the skills and knowledge of working people in every career in government and private sectors. In response to the changing world, reforms in 21st century learning processes have been designed to develop students’

Methods

Results

Conclusion