งานประชุมวิชาการระดับชาติ “นอร์ทเทิร์นวิจัย” ครั้งที่ 11 ประจำปีการศึกษา 2567 “เทคโนโลยี AI เพื่อการพัฒนาชุมชนอย่างยั่งยืน”
วันศุกร์ที่ 30 พฤษภาคม 2568 ณ วิทยาลัยนอร์ทเทิร์น จังหวัดตาก
“การปรับตัวในโลกยุคใหม่ อยู่ร่วมกับ AI อย่างรู้เท่าทัน”
Interdisciplinary Virtual Learning Community Model for Social Engineer
Thananan Areepong, Prachyanun Nilsook and Panita Wannapiroon (2025) Interdisciplinary Virtual Learning Community Model for Social Engineer. Journal of Theoretical and Applied Information Technology
15th May 2025. Vol. 103. No. 9, 2025.
https://www.jatit.org/volumes/Vol103No9/7Vol103No9.pdf
| Abstract: | The paper suggests developing a Metaverse interdisciplinary learning community model – M-ILC – to develop social engineers. The interdisciplinary learning community process leverages the Metaverse platform tool to foster social engineering skills among students. The study offers a synthesis of materials with regard to interdisciplinary learning communities in various formats. Emphasis is placed on the significance of nurturing human soft skills through utilizing the Metaverse in the learning process to provide learners with a 3D virtual experience. This collaborative learning approach leads to a more profound comprehension of subject content and expands educational opportunities for students. The suitability of the Metaverse Interdisciplinary Learning Community model (M-ILC) developed by experts in Information Technology, Communication Technology, and the Metaverse, was assessed. The evaluation results were rated as “excellent”, indicating the suitability of the overall learning community model. This suggests that the M-ILC model can effectively cultivate students’ social engineering skills and prepare them for the upcoming digital transformation. Furthermore, it contributes to sustaining a consistent quality standard in the education system. The researchers have introduced new teaching concepts and innovations that align with the current situation in the form of a learning model, fostering a boundary-less learning society that can be accessed anytime and anywhere. |
Business Intelligence Management with Artificial Intelligence for Prediction Information Technology Infrastructure in Higher Education
Abstract:
This study uses a mixed-methods research approach, combining meta-analysis and systematic Bibliometrix analysis, to explore the use of Business Intelligence (BI) and Artificial Intelligence (AI) in predicting Information Technology (IT) infrastructure in higher education institutions. The synergy between BI and AI serves as a key tool for evaluating and forecasting IT infrastructure, supporting decision-making and strategic IT planning in universities. This research develops predictive models for IT infrastructure investments using BI and AI, ensuring efficient resource allocation and enhancing university decision-making, aligned with the evolving digital landscape in higher education.
Warunee Milinthapunya, Urairat Yamchuti, Anake Nammakhunt, Chatchada Shawarangkoon, Panita Wannapiroon, Prachyanun Nillsook. (2025) Business Intelligence Management with Artificial Intelligence
for Prediction Information Technology Infrastructure in Higher Education.TEM Journal, 14(2), 1378-1387.
https://doi.org/10.18421/TEM142-38
ปัญญาประดิษฐ์ พลังขับเคลื่อนสู่การพัฒนาที่ยั่งยืน
สไลด์ประกอบการบรรยายพิเศษ
การประชุมวิชาการระดับชาติและนานาชาติ “เบญจมิตรวิชาการ” ครั้งที่ 15
“ปัญญาประดิษฐ์ พลังขับเคลื่อนสู่การพัฒนาที่ยั่งยืน”
Artificial Intelligence : A Driving Force for Sustainable Development Goals
มหาวิทยาลัยธนบุรี
วันพฤหัสบดีที่ 15 พฤษภาคม 2568
https://ict.fte.kmutnb.ac.th/prachyanun/2025/AI_for_SDGs.pdf
innovations for the future of education
Abstract
The study of innovations for the future of education is a synthesis of content from interviews with AI through chat rooms which key informants were specifically selected from ChatGPT, Copilot, Gemini, Deepseek, and Grok, with the same interview questions. The research results found that innovations for the future have three characteristics: new innovations, specific innovations, and continuous innovations from the present. It reflects that the data from AI interviews provide fast, clear, and reliable results that are consistent with general searchable data. It is useful for the future of education
Keywords: Educational innovation , Educational future, AI chat
Nilsook, P. (2025). INNOVATION FOR THE FUTURE OF EDUCATION.
Journal of Industrial Education, 24(1), A1-A6.
https://ph01.tci-thaijo.org/index.php/JIE/article/view/261865
https://doi.org/10.55003/JIE.24101
A Micro-Learning Approach with Artificial Intelligence for Improving Skills in Designing the Movement of In-Game Characters and Using Mixed Reality
Abstract—This research aims to use artificial intelligence technology to create micro-learning approach. The goal is to develop students’ skills in designing character movements to look more realistic and interesting, as well as in using Mixed Reality (MR). This research was conducted in the form of a cross-sectional study and a literature review. During October–December 2024, the sample population were recruited from among undergraduate students at the Faculty of Mass Communication Technology, Multimedia Technology, and Rajamangala University of Technology Thanyaburi. The research data were collected from a total sample of 30 students through a questionnaire to assess whether micro-learning approach with artificial intelligence technology can be used to develop skills in character movement design in game design and utilizing mixed reality. The research results found that this learning format is very effective. In terms of the quality of the content and learning media, it has an average score of 4.85 ± 0.03 (the highest quality). As a result, learners can effectively develop important skills and engage strongly in the learning process. The use of mixed reality technology enhances the immersive and engaging learning experience for learners. This learning style is extremely effective and suitable for developing movement design skills for in-game characters.
Keywords—micro-learning, Artificial Intelligence (AI), skills in designing character movements, Mixed Reality (MR)
Vipusit Piankarnka, Prachyanun Nilsook, and Panita Wannapiroon,
“A Micro-Learning Approach with Artificial Intelligence for Improving Skills in Designing the Movement of In-Game Characters and Using Mixed Reality,” International Journal of Information and Education Technology, vol. 15, no. 4, pp. 847-857, 2025.
https://doi.org/10.18178/ijiet.2025.15.4.2291
เกียรติบัตรสมรรถนะอาจารย์ มจพ.
Adaptive Micro-Learning Model Based on Dhamma Using Mixed Reality to Develop Students to Be Good Citizens.
Abstract
The COVID-19 pandemic forced school closures globally, leading to significant learning regression in academic performance, skills, and ethical development. This study aims to: 1) synthesize and develop an adaptive micro-learning model based on Dhamma principles using mixed reality (MR), 2) compare pre-and post-test results, and 3) assess the model’s impact on students’ good citizenship. Participants included 19 experts and 39 Grade 6 students. The methodology involved synthesizing and developing an adaptive micro-learning model, comparing pre- and post-study scores, and evaluating academic achievement and good citizenship development. The study identified seven key steps in the adaptive micro-learning model: 1) testing prior knowledge (Dhammannuta), 2) reporting prior knowledge results (Atthanyuta), 3) explaining learning objectives (Attanyuta), 4) outlining the learning path (Mattanyuta), 5) video-based learning (Kalanyuta), 6) collaborative learning via MR (Parisanyuta), and 7) peer knowledge exchange (Pukkalanyuta). The model’s effectiveness was rated highly (x̅ = 4.78, S.D. = 0.34). Students’ good citizenship scores significantly improved, increasing from a pre-test average of 15.87 points (52.90%) to a post-test average of 25.72 points (85.73%), with statistical significance at the 0.01 level.
Kitiya Promsron, Prachyanun Nilsook & Pallop Piriyasurawong (2025)
Adaptive Micro-Learning Model Based on Dhamma Using Mixed
Reality to Develop Students to Be Good Citizens.
International Education Studies; Vol. 18, No. 2; 2025 ; pp. 123-136.
https://doi.org/10.5539/ies.v18n2p123
THE INTELLIGENT COLLABORATIVE SUPPLY CHAIN MANAGEMENT WITH LARGE LANGUAGE MODELS
Abstract
This research explores the development of an Intelligent Collaborative Supply Chain Management (iCSCM) system, driven by Large Language Models (LLMs), to enhance operational efficiency and facilitate collaboration among academic, governmental, and private sectors in advancing University Holding Companies (UHCs). Despite significant progress in AI-driven supply chain management, challenges remain in effectively aligning academic research with industry demands, resulting in suboptimal resource utilization and missed opportunities for commercialization. This study seeks to address these issues by proposing an AI-driven framework to optimize collaboration within this ecosystem. Employing system design frameworks, architectural evaluation matrices, and expert surveys, the study evaluates the proposed system’s effectiveness, demonstrating a high level of suitability (Mean = 4.73, SD = 0.30). The findings underscore the transformative potential of large language models in enhancing collaborative supply chain processes, equipping universities to serve as key innovation hubs that bridge the gap between research and industry applications. © Little Lion Scientific.
Author keywords
Artificial Intelligence; Intelligent Collaborative Supply Chain Management; Large Language Models; University Holding Company
Siriluk Phuengrod, Panita Wannapiroon and Prachyanun Nilsook (2025)
The Intelligent Collaborative Supply Chain Management with Large Language Models. Journal of Theoretical and Applied Information Technology. 15th March 2025 Vol. 103. No. 5, 2025
https://www.jatit.org/volumes/Vol103No5/20Vol103No5.pdf
สารานุุกรมการศึกษาร่วมสมัย เฉลิมพระเกียรติ
ปรัชญนันท์ นิลสุข และปณิตา วรรณพิรุณ, “การเรียนรู้แบบจินตวิศวกรรม”
สารานุุกรมการศึกษาร่วมสมัย เฉลิมพระเกียรติ พระบาทสมเด็จพระเจ้าอยู่หัว
เนื่องในโอกาสพระราชพิธีมหามงคลเฉลิมพระชนมพรรษา ๖ รอบ ๒๘ กรกฎาคม ๒๕๖๗ กรุงเทพมหานคร : สำนักงานเลขาธิการครุสภา, ๒๕๖๗, หน้า 257-260
http://portal.psclib.com/ksp/ebooks/28230.pdf
พัลลภ พิริยะสุรวงศ์ ปรัชญนันท์ นิลสุข และปณิตา วรรณพิรุณ, “ประสบการณ์เรียนรู้แบบดื่มด่ำ” สารานุุกรมการศึกษาร่วมสมัย เฉลิมพระเกียรติ พระบาทสมเด็จพระเจ้าอยู่หัว เนื่องในโอกาสพระราชพิธีมหามงคลเฉลิมพระชนมพรรษา ๖ รอบ ๒๘ กรกฎาคม ๒๕๖๗ กรุงเทพมหานคร : สำนักงานเลขาธิการครุสภา, ๒๕๖๗, หน้า 364-367
http://portal.psclib.com/ksp/ebooks/28230.pdf
ปณิตา วรรณพิรุณ พัลลภ พิริยะสุรวงศ์ และปรัชญนันท์ นิลสุข , “ปัญญาประดิษฐ์รังสรรค์” สารานุุกรมการศึกษาร่วมสมัย เฉลิมพระเกียรติ พระบาทสมเด็จพระเจ้าอยู่หัว เนื่องในโอกาสพระราชพิธีมหามงคลเฉลิมพระชนมพรรษา ๖ รอบ ๒๘ กรกฎาคม ๒๕๖๗ กรุงเทพมหานคร : สำนักงานเลขาธิการครุสภา, ๒๕๖๗, หน้า 374-378 http://portal.psclib.com/ksp/ebooks/28230.pdf