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Research, ผลงานตีพิมพ์, ผลงานวิจัย

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.
ผลงานตีพิมพ์, ผลงานวิจัย, เทคนิคการเขียนบทความวิจัยในวารสารระดับชาติและนานาชาติ

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

Research, ผลงานตีพิมพ์, ผลงานวิจัย

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

ผลงานตีพิมพ์, ผลงานวิจัย

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

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Generative AI-Created Digital Influencers to Be University Goodwill Ambassadors

Abstract—This research was aimed at creating and developing digital influencers with generative artificial intelligence to strengthen a university’s image and communicate with a target group, and comparing their use to traditional forms of communication. We conducted the research as an observational study. A literature review was conducted to study the elements of the process of using digital influencers created with generative artificial intelligence through an intelligent platform as university goodwill ambassadors. Research data was collected from a sample group of 150 people. We used a questionnaire to assess the effectiveness of using digital influencers created with generative artificial intelligence through an intelligent platform as university goodwill ambassadors. In the analysis, the use of digital influencers created with generative artificial intelligence through an intelligent platform was compared with regular communication by using the paired t-test statistic. A total of 150 participants were included in the study. The results showed that most of them were female (n = 87; 58 percent), aged 15–25 years (n = 106, 70.67 percent) and students (n = 99, 66 percent); 23 persons were university personnel (15.33 percent) and 28 persons were members of the general public (18.67 percent). From the results of the evaluation of the quality of using digital influencers created with artificial intelligence through an intelligent platform as university goodwill ambassadors, it was found that digital influencers created with artificial intelligence and used through an intelligent platform as university goodwill ambassadors could represent the university, and provide public relations and support for university activities. They could promote relationships between the university and third parties. As a result, communication within the organization became convenient and fast. It was even found to be more modern compared to traditional forms of communication, with statistical significance. Artificial intelligence is effective in improving communication; organizations can provide accurate information immediately and reduce the workloads of personnel. Artificial intelligence can also analyze insights from user conversations. This university can use this information to improve communication to better meet the needs of the target audience.

Keywords—digital influencers, generative artificial intelligence, intelligent platform, university goodwill ambassador

Vipusit Piankarnka, Prachyanun Nilsook, and Panita Wannapiroon,
“Generative AI-Created Digital Influencers to Be University Goodwill Ambassadors,” International Journal of Information and Education Technology, vol. 15, no. 1, pp. 106-116, 2025.
https://doi.org/10.18178/ijiet.2025.15.1.2223

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Simulation game-based learning for cognitive apprenticeship development: a focus on processing speed. Cogent Education

Abstract

Processing speed is a critical component of cognitive apprenticeship, which is essential for developing cognitive skills for high-pressure environments. This study highlighted the limitations of traditional teaching methods in fostering rapid decision-making skills and proposed a simulation game-based learning (SGBL) model as an innovative instructional approach. It aimed to (1) develop a targeted SGBL model, (2) assess its effectiveness in enhancing cognitive apprenticeship and processing speed and (3) evaluate student satisfaction. The methodology was divided into three phases: a primary study to identify student needs, system design and development, and implementation. The SGBL model included theoretical and practical sessions, encompassing real-world scenario-based games for practicing life-saving skills. The study involved 73 undergraduate students, split into two experimental groups, and utilised a learning achievement test and a satisfaction questionnaire as research instruments. The findings revealed significant improvements in processing speed and learning outcomes (p < .01). Students expressed high levels of satisfaction, indicating the effectiveness and potential applicability of the model in other fields. Future implications include expanding SGBL with AR/VR and multiplayer functions to enhance engagement and applicability.

Keywords: 

Sounthornwiboon, P., Sriprasertpap, K., & Nilsook, P. (2025).
Simulation game-based learning for cognitive apprenticeship development: a focus on processing speed. Cogent Education, 12(1).
https://doi.org/10.1080/2331186X.2024.2449280

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Mobile Language Learning: A Digital Approach to Improving English Communication

Abstract

A digital media platform can enhance students’ motivation and help them learn new abilities to further their English communication skills. They can utilize it to improve their English communication skills through their mobile phones for lifelong learning and to integrate digital media technology into their study and work worldwide, developing 21st-century abilities and skills. This study aimed to create a digital media platform, improve students’ English communication skills, and study students’ satisfaction with using the digital media platform through mobile language learning. A sample of 107 students participated in the self-learning of English for Daily Life Communication course, which was selected using a simple random sampling technique. The digital media platform included videos and practices of 20 contents about English communication for daily life. The experiment was carried out for five weeks. The research instruments included digital media platform, a pre-and post-test, and a satisfaction questionnaire. The data were statistically analyzed by mean and standard deviation. The results revealed that the students improved their English communication skills at the .005 significance and were satisfied at a mean of 4.31. It concludes that the digital media platform benefits by enhancing the students based on their findings on improving their English communication skills and overall satisfaction. Additionally, both the educators and students are supported in achieving successful foreign language learning through mobile technology. 

Keywords: 

Digital Media Platform, English Communication, Mobile Language Learning

Boonyopakorn, J., Tasatanattakool, P., Nilsook, P., & Wannapiroon, P. (2024). Mobile Language Learning: A Digital Approach to Improving English Communication. International Journal of Interactive Mobile Technologies (iJIM), 18(22), pp. 159–173. https://doi.org/10.3991/ijim.v18i22.50001

Confernce, Research, ผลงานตีพิมพ์, ผลงานวิจัย

The Use of Digital Learning Tools by Pre-service Engineering Teacher

Abstract

The aim of this research was to analyze the digital learning tools for pre-service engineering teachers and compare each digital learning tool for pre-service engineering teachers between learning in a classroom and teaching practice. The representative sample includes 58, 4th-year pre-service engineering undergraduates who applied to the teaching practice course. The result has shown that the digital learning tools for pre-service engineering teachers consists of 6 main aspects, including (1) Websites and applications used to communicate with students at a moderate level of fitness (2) Websites and applications used to accept student work at a moderate level of fitness (3) Learning management systems at a moderate level of fitness (4) Digital media platform at a high level of fitness (5) An online evaluation tool at a high level of fitness (6) Teaching practices and tools that will continue to be used in a high level of fitness. Overall, the usage range is high, and the usage comparison of a digital learning tool of a pre-service engineering teachers between learning in a classroom and teaching practice has insignificant differences and can be fully applied in a teaching practice environment.

Hinon, K., Nilsook, P., Seubpradit, L., Karapakdee, J. (2024). The Use of Digital Learning Tools by Pre-service Engineering Teacher. In: Hong, JC. (eds) New Technology in Education and Training. AEIT 2024. Lecture Notes in Educational Technology. Springer, Singapore. https://doi.org/10.1007/978-981-97-3883-0_9

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Digital Technology Landscape for Vocational Education: Learning Loss Recovery

ABSTRACT

The research aimed to; 1) study the expectations of teachers on the behavioral conditions of vocational education learners, 2) Study the ability of teachers to achieve the expected behavioral conditions of vocational education, 3) Comparison of the use of digital technology in teaching by teachers to recover the learning loss of vocational learners during the New Normal and Next Normal periods, 4) Study the teachers need to use digital technology in teaching to recover the learning loss of vocational learners during the New Normal and Next Normal  periods, and 5) Create digital technology landscape for learning loss recovery on vocational education. Data were collected with an online questionnaire that passed the validity and reliability with 301 vocational teachers. The results of the research showed teachers have higher expectations of learners’ behavioral conditions. Teachers can make vocational learners experience the expected behavioral conditions to a greater extent. Teachers use digital technology to organize teaching to recover the learning loss of vocational learners during the New Normal rather than during the Next Normal. However, the demand for digital technology for teaching to recover the learning loss problem of learners during the Next Normal is increasing more than during the New Normal. The study suggests improving the knowledge and ability of teachers to use digital technology for teaching to recover the problem of learning loss among learners.  

jitsupa, jira, Skunhom, V., Nilsook, P., Hinon, K., Sangboonraung, W., Daungtod, S., Phumee, W., & Promsron, K. (2024).
Digital Technology Landscape for Vocational Education: Learning Loss Recovery. Journal of Technical Education and Training, 16(1), 56-70.
https://publisher.uthm.edu.my/ojs/index.php/JTET/article/view/16613

Research, ผลงานตีพิมพ์, ผลงานวิจัย

Competency-Based Online Teaching Supervision Process for Technical and Vocational Preservice Teachers

Abstract:

The aim of this study is to assess the teaching proficiency of technical and vocational preservice teachers. This assessment aims to pave the way for the effective management of online teaching oversight based on established competency standards. Additionally, the study explores the integration of digital technology in the realm of online teaching supervision. The research approach employed a combination of research and development, utilizing content analysis of relevant literature and research, while also constructing supervision models. The findings revealed that the teaching proficiency of technical and vocational preservice teachers encompassed various facets, including the formulation of comprehensive learning management plans, the use of enriching learning activities, the execution of teaching strategies, the utilization of media and technology, and the implementation of measurement and evaluation methods. The process of online teaching supervision was found to involve a few distinct stages, namely preparation for supervision, the execution of supervision activities, guidance and mentorship, continual improvement coaching, and the subsequent reporting of coaching outcomes. Furthermore, the integration of digital technology into online teaching oversight was shown to manifest itself in two principal approaches: synchronous and asynchronous modes.

Keywords –Supervision, teaching competencies, technical, vocational preservice teachers.

Kanitta Hinon, Prachyanun Nilsook & Witsanu Loetchantharangkun.(2024). Competency-Based Online Teaching Supervision Process for Technical and Vocational Preservice Teachers. TEM Journal, 13(2), 1028-1037. https://doi.org/10.18421/TEM132-17