Generative AI in Education
MASTERING AI COMPETENCY & DIGITAL SUSTAINABILITY
สำนักวิทยบริการและเทคโนโลยีสารสนเทศ
มหาวิทยาลัยราชภัฏรำไพพรรณี & D-Tech
วันที่ 11 มิถุนายน พ.ศ.2567
https://www.slideshare.net/slideshow/artificial-intelligence-in-education2-pdf/269620819
Distributed Digital Enterprise Architecture for Transformation of Educational Organizations
Abstract – Enterprise architecture is of essential significance for organizations currently adapting to the digital transformation era. It is the application of modern digital technology in various organizational departments to drive efficiency. This research presents the development of a distributed digital enterprise architecture framework for education organizations that have applied the enterprise architecture concepts of The Open Group Architecture Framework, Zachman, and the Federal Enterprise Framework using an online questionnaire as a tool to collect data from 520 samples. The results revealed that the distributed digital enterprise architecture for education organizations is divided into seven dimensions: business architecture, data architecture, application architecture, technology architecture, security architecture, human capital architecture, and infrastructure architecture. The experts’ evaluation of the architecture found that the overall appropriateness was at the highest level in all aspects. The research results indicate that enterprise architecture is essential for systematically integrating digital technology with an organization’s workflow or mission for it to become a distributed digital enterprise.
Keywords – Digital transformation, distributed digital enterprise architecture, education organization, enterprise architecture.
Surasak Srisawat, Panita Wannapiroon and Prachyanun Nilsook
Distributed Digital Enterprise Architecture for Transformation of Educational Organizations. TEM Journal. Volume 13, Issue 2, pages 1645-1657, May 2024.
https://doi.org/10.18421/TEM132-77
Friend บรรเลงกีต้าร์ ผลงานของ โอม ชาตรี คงสุวรรณ จากอัลบั้ม Into the light (2551)
เทคนิคการเขียนตำรา/หนังสือ
การอ้างอิงผลงานการตีพิมพ์สูงสุด 4 อันดับ พ.ศ.2567
ขอแนะนำผลงานการวิจัยทางด้านครุศาสตร์เทคโนโลยี ของศาสตราจารย์ ดร.ปรัชญนันท์ นิลสุขดูผลงานวิจัยทั้งหมด ของศาสตราจารย์ ดร.ปรัชญนันท์ นิลสุข จากฐานข้อมูล Scopushttps://bit.ly/3SvETHu#libkmutnb มัดรวมมาให้แล้ว กับผลงานวิจัยที่มีการอ้างถึงมากที่สุด 4 ลำดับแรก จากฐานข้อมูล Scopus A web-based learning system using project-based learning and Imagineeringhttps://bit.ly/42fueDR Digital Learning Ecosystem by Using Digital Storytelling for Teacher Profession Studentshttps://bit.ly/49oNzFh A learning process model to enhance digital literacy using critical inquiry through digital storytelling (CIDST)https://bit.ly/42aYLme The development of STEM literacy using the learning process of scientific imagineering through ARhttps://bit.ly/42b8SHO คู่มือการตั้งค่า Proxyhttps://qrgo.page.link/w4sHi ใช้งานผ่าน OpenAthenshttps://my.openathens.net
Generative AI for Educators
Generative AI for Educators
Generative AI for Educators – Grow with Google
Transformative Learning Model with Digital Fabrication Laboratory to Enhance Innovation Competency and Creative Product
ABSTRACT
This research’s objectives were 1. To develop system of transformative learning with digital fabrication laboratory to enhance innovation competency and creative product. 2. To study the results of the
demonstration system. The study included 2 process: 1) the development system of transformative learning with digital fabrication laboratory to enhance innovation competency and creative product, and 2) the result of the demonstration system. The use of transformative learning with digital fabrication laboratory was demonstrated to students in Southeast Bangkok College who registered for the ‘Industry Innovation Laboratory’ subject in their first semester of B.E. 2565. The findings revealed that the scores with regard to 1) the curriculum, 2) the context quality, 3) the quality of the lecturing media, and 4) the quality of the learning system were rated as being at the highest level. Moreover, after studying the subject, the experimental group had greater innovation competency scores than they exhibited prior to the learning process. In addition, the experimental group had higher scores with regard to innovation competency and creative product after studying than the control group and the criteria. A system of transformative learning with digital fabrication laboratory to enhance innovation competency and creative product is a new teaching model that can develop students’ skills in the 21st century. Therefore, it should be applied to other subjects in this field by only subjects that are practiced so that students can develop their own skills.
Keywords: Transformative Learning, Digital Fabrication Laboratory, Innovation Competency, Creative Product
Sunti Sopapradit, Prachyanun Nilsook and Panita Wannapiroon (2024)
Transformative Learning Model with Digital Fabrication Laboratory to Enhance Innovation Competency and Creative Product.
Journal of Theoretical and Applied Information Technology.Volume 102, Issue 6, Pages 2370 – 2380.
https://www.jatit.org/volumes/Vol102No6/10Vol102No6.pdf
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
รางวัลนักวิจัยพระจอมเกล้าพระนครเหนือ ประจำปี ๒๕๖๗
สาขาวิชาเทคโนโลยีสารสนเทศและการสื่อสารเพื่อการศึกษา
ภาควิชาครุศาสตร์เทคโนโลยีและสารสนเทศ
คณะครุศาสตร์อุตสาหกรรม
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ
ขอแสดงความยินดีอย่างยิ่ง กับ
ศาสตราจารย์ ดร.ปรัชญนันท์ นิลสุข
ในโอกาสที่ได้รับ รางวัลนักวิจัยพระจอมเกล้าพระนครเหนือ ประจำปี ๒๕๖๗
รางวัลนักวิจัยดีเด่น ระดับดี ด้านสังคมศาสตร์
วันที่ 13 มีนาคม พ.ศ.2567
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.