คลังเก็บหมวดหมู่: Research

Research, ผลงานตีพิมพ์, ผลงานวิจัย

ATHLETE SELECTION MODEL USING SPORTS STATISTICS DATA FABRIC TECHNIQUES FOR NATIONAL SPORTS EXCELLENCE.

Title:ATHLETE SELECTION MODEL USING SPORTS STATISTICS DATA FABRIC TECHNIQUES FOR NATIONAL SPORTS EXCELLENCE
Author:CHANITA SATTABURUTH, PALLOP PIRIYASURAWONG, PRACHYANUN NILSOOK
Abstract:Physical fitness factors that significantly impact athletes’ performance. This research objective is to analyze and develop a model for the successful selection of athletes based on physical fitness factors. The sample comprises data from high-potential athletes who attend sports schools affiliated with the Thailand National Sports University. The research methodology combines Multi-Layer Perceptron and Multiple Linear Regression as data analysis techniques to identify suitable models for successful competitive athletes. The results of the model evaluation indicate that the accuracy is 72.73% and the R-squared value is 0.665. The experiment shows that analyzing the athlete selection model could reveal the factors that influence the selection of athletes. These factors will be described in this article.
Keywords:Data Mining, Neural Network, Data Fabric Technique, Aquatic Athletes, Physical Fitness
Source:Journal of Theoretical and Applied Information Technology
29th February 2024 — Vol. 101.  No. 4– 2024

Sattaburuth, C. Piriyasurawong, P. Nilsook, P. (2024)
ATHLETE SELECTION MODEL USING SPORTS STATISTICS DATA FABRIC TECHNIQUES FOR NATIONAL SPORTS EXCELLENCE.
Journal of Theoretical and Applied Information Technology, (2024), 1565-1573, 102(4)
https://www.jatit.org/volumes/Vol102No4/22Vol102No4.pdf

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Synthesize a Conceptual Framework for Athlete’s Selection with Data Fabric Sports Statistical Technique

Abstract

The purpose of this research is to present an overview of the conceptual framework of sports statistical data fabric techniques as an approach for using information technology systems for analyzing sports statistical data to develop athletes’ potential. This literature review shows that the development of advanced statistical methods for match prediction and selection of athletes by using sports statistical data to analyze the correlation and correlation of the data creates an information system with sports statistics data fabric techniques provide excellent cognitive results. The information obtained is accurate and accurate. From the results of the study, it was born as a new body of knowledge with in-depth conceptual frameworks in sports and scope of information as a basis for development sports with specific characteristics of physical fitness. The knowledge gained from the conceptual framework, this research can create new norms and knowledge in sports toward the development of athletes to their highest potential. © 2023 Published by the ISTES Organization

Author keywords

Data Fabric; Decision Support System; Physical Fitness; Sport Statistics; Sports Technical Skills

Chanita Sattaburuth, Pallop Piriyasurawong and Prachyanun Nilsook,
Synthesize a Conceptual Framework for Athlete’s Selection with Data Fabric Sports Statistical Technique.
Proceedings of International Conference on Research in Education and Science.Volume 9, Issue 1 ; 2023. pp.2191 – 2201.

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Needs Assessment in the use of Digital Technology for Learning Loss Recovery of Students at the Basic Education Level

Abstract

Globally, COVID-19 has disrupted educational practices, causing basic education institutions in Thailand to close temporarily. Schools in Thailand as well as the world over have switched to online learning environments to guarantee students’ educational continuation. The purposes of this study were firstly  to determine whether digital technology is required for learning loss recovery; secondly, to conduct a systematic literature review using bibliometric keywords; thirdly, to assess the need for using digital technology to recover students’ learning losses at the basic education level, both during and after the COVID-19 pandemic, and finally, to summarize data in an infographic landscape format pertaining to this topic. A questionnaire survey was conducted with 600 online respondents from throughout Thailand. The respondents included 56 educational supervisors, 40 school administrators, and 504 teachers. The results show that the following can be used: (a) student communication websites and applications, (b) student work acceptance websites and applications, (c) learning management systems, (d) digital media libraries, (e) online assessment tools, and (f) teaching methods and tools for future use. The respondents indicated that students have learning loss relating to (a) morality, ethics and manners, (b) good citizenship, (c) imagination and creativity, (d) health promotion, and (e) mathematical processes.

Kitiya Promsron, Prachyanun Nilsook, jira Jitsupa, Watcharee Sangboonraung, Orawan Saeung and Wilawan Jinwan (2024)
Needs Assessment in the use of Digital Technology for Learning Loss Recovery of Students at the Basic Education Level.
International Journal of Learning, Teaching and Educational Research.
Vol. 23, No. 1, pp. 59-83, January 2024. https://doi.org/10.26803/ijlter.23.1.4

Research, ผลงานตีพิมพ์, ผลงานวิจัย

IoT, 6G and Digital Twin For Smart Campus

Tanapeak Pexyean, Kobkiat Saraubon and Prachyanun Nilsook (2023)
T. Pexyean, K. Saraubon and P. Nilsook, “IoT, 6G and Digital Twin For Smart Campus,”
2023 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C), Bangkok, Thailand, 2023, pp. 46-50,
https://doi.org/10.1109/RI2C60382.2023.10355994.

Abstract:Smart Campus This research aims to present the use of the Internet of Things and smart technologies that work with 6G networks to intelligently improve the energy management capabilities of campuses. Whether it’s personal. Teachers and students, including those with disabilities, have a better quality of life. Within the university, energy consumption data is collected. Organizations to manage energy management systems Reduce energy consumption Reduce management by using technology to manage and reduce campus costs, transparently monitor energy consumption and use of campus educational equipment, especially cost and expense management, and sustainable energy use. Control usage data, energy consumption results, and estimate budget allocation related to educational institutions. IoT and Cloud Computing are also integrated into 6G networks embedded in state-of-the-art devices for use in environmental management and intelligent energy management, as well as creating new energy models and management that can solve future emergencies with external on-premises virtual energy control anytime, anywhere. Smart Building Management with twin technologies helps to intelligently manage and control indoor energy systems, such as automation for temperature control in buildings. Air conditioner energy consumption control system Electricity consumption control in lighting system This saves energy and increases the usability of buildings within smart campuses.

Research, ผลงานตีพิมพ์, ผลงานวิจัย

System Architecture of Electronic Asset Supply Chain Intelligent Platform for Digital Higher Education

Denchai Panket, Panita Wannapiroon & Prachyanun Nilsook (2024)
System Architecture of Electronic Asset Supply Chain Intelligent
Platform for Digital Higher Education.
Higher Education Studies; Vol. 14, No. 1; 2024, pp.22-32.
https://doi.org/10.5539/hes.v14n1p22

Abstract

This research aims to design an intelligent platform architecture for electronic asset supply chains for digital higher education and to evaluate the architecture of the intelligent platform for electronic asset supply chains for digital higher education. The sample group consists of evaluations of the intelligent platform architecture for the electronic asset supply chains for digital higher education by experts. These experts assess and certify the appropriateness of the architecture, evaluating the content’s suitability and the management processes. The evaluations were conducted by 5 experts who have experience in managing assets in higher education or relevant areas. The research results indicate that the designed intelligent platform architecture for electronic asset supply chains for digital higher education, on average, scored 4.43, which is considered ‘good’. The evaluation of its developmental trend from architecture to platform has an average score of 4.80, considered ‘very good’. Following that, both the system (Administrators) and the (Webserver and Database Server) evaluations yielded the same average score of 4.60, which is also ranked as ‘very good.’

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Distributed Communicative Language Training Platform Using Automatic Speech Recognition Technology for Smart University

Keywords: 

Distributed Enterprise, Communicative Language Teaching, Automatic Speech Recognition, Smart University

ABSTRACT

The purpose of this research is to achieve the following objectives: 1) Synthesize documents and international research on the characteristics of a smart university. 2) Synthesize the processes of distributed communicative language training (DCLT). 3) Design the system architecture of a DCLT platform that utilizes automatic speech recognition (ASR) technology for a smart university. 4) Evaluate the appropriateness of a DCLT platform that utilizes ASR technology for a smart university. Nine experts were selected for this research. They were required to have more than five years of relevant experience in the field, including expertise in system architecture, distributed enterprise, language teaching, and ASR. The research instruments included a suitable assessment form for evaluating the system architecture of a DCLT platform that utilizes ASR technology for a smart university. The results of this research indicate that the DCLT platform, which utilizes ASR technology, was considered suitable for a smart university.

Phuengrod, S., Wannapiroon, P., & Nilsook, P. (2023). Distributed Communicative Language Training Platform
Using Automatic Speech Recognition Technology for Smart University.
International Journal of Emerging Technologies in Learning (iJET),
18(24), pp. 96–111. https://doi.org/10.3991/ijet.v18i24.40619

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Coordination Mechanisms and Systems to Enhance Thai Early Childhood Development Management Efficiency

Abstract
Early childhood development (ECD) is critical for ensuring the long-term well-being and success of individuals and societies. In Thailand, the management of ECD services faces significant challenges due to fragmented coordination and integration across various sectors and agencies. Therefore, this study aimed to enhance the efficiency of Thai early childhood development management (ECDM) by developing coordination mechanisms and systems (CMS). A mixed-methods approach was utilized, involving online structured interviews with six ECDM policymakers, content analysis of the data, and four focus group discussions with ten individuals from various sectors. A draft handbook for CMS was developed through an online connoisseurship seminar, and an opinion questionnaire was collected from 200 executives and practitioners across four Thai regions using Google Forms. The results identified four mechanisms crucial for driving an effective EDCM coordination system: national, provincial, subdistrict, and coordination. These mechanisms comprised an information and communication
technology (ICT) system, a management system, a resource management system combined with budget planning, and a supervision, monitoring, and evaluation system. Additionally, three stages of policy
recommendations were proposed: urgent, intermediate, and long-term. This research provides a framework for improving ECDM in Thailand, promoting better integration and efficiency in delivering
essential early childhood services.

Keywords: Coordination mechanisms and systems, Early childhood development management efficiency, Education development, Thailand

Werayut Chatakan, Phanagrid Boonpob, Nopparat Chairueang, Julalax Sutra, Naruporn Thitipraserth and Prachyanun Nilsook. (2024)
Coordination Mechanisms and Systems to Enhance Thai Early Childhood Development Management Efficiency.
Asia-Pacific Journal of Research in Early Childhood Education. Vol.18, No.3, September 2024, pp.61-85.
http://dx.doi.org/10.17206/apjrece.2024.18.3.61


https://www.pecerajournal.com/detail/30011042

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Constructionism Imagineering Learning Model via Metaverse to Enhance Young Innovators

Abstract

Constructionism imagineering learning model via metaverse is an instrument for promoting self-learning through hands-on. To create new knowledge for young innovators by combining the concepts of technology and new learning platforms to create new ideas. Designing teaching and learning that can be used to learn in the new normal focuses on continuous learning at any time, anywhere, with the benefits of using technology. The sample group is six experts in designing and developing learning models and learning systems from various institutions in higher education by purposive sampling. The research instruments are as follows. 1) The constructionism imagineering learning model via metaverse to enhance young innovators. 2) The constructionism imagineering learning process via metaverse to enhance young innovators. 3) An assessment form for the constructionism imagineering learning model via metaverse to enhance young innovators. 4) An assessment form for the constructionism imagineering learning process via metaverse to enhance young innovators. Analyse data using mean and standard deviation. The researchers found that the constructionism imagineering learning model via metaverse and the constructionism imagineering learning model via metaverse, which is developed is appropriate to enhance young innovators at the highest level, following the research hypotheses.

Suputtra Sapliyan, Pinanta Chatwattana & Prachyanun Nilsook (2023)
Constructionism Imagineering Learning Model via Metaverse to Enhance Young Innovators. Journal of Education and Learning; Vol. 12, No. 4; 2023 ; pp.81-91. (ERIC)
https://doi.org/10.5539/jel.v12n4p81

Research, ผลงานตีพิมพ์, ผลงานวิจัย

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

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

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Crystallized Intelligence Wisdom Repository Management System with a Conversational Agent

Abstract

This research was undertaken by synthesizing theories, documents, textbooks, research articles, and related academic articles relating to the wisdom repository management process. The objective is to present a system architecture and develop a knowledge management system which culminates in a repository of crystallized intelligence with a conversational agent that can promote learning for medical students by introducing a system architecture to develop intelligent agent technology. Through mobile technology, accessible anytime, anywhere, lifelong learning for medical students will be supported via an intelligent crystallized intelligence inventory management system. This keynote includes a comprehensive implementation and has API. The application has been tested with a trial run of all commands, with satisfactory results in the communication of the system that the user accesses through chatbots.

Mathuwan Srikong, Panita Wannapiroon & Prachyanun Nilsook (2023)
Crystallized Intelligence Wisdom Repository Management System with a Conversational Agent. International Education Studies, Vol. 16, No.2 (2023) ; p150-163.
https://doi.org/10.5539/ies.v16n2p150