คลังเก็บหมวดหมู่: ผลงานวิจัย

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

Research, ผลงานตีพิมพ์, ผลงานวิจัย

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

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

The Effectiveness of Flipped Classroom in English Language Learning: A Meta-Analysis

Abstract

The Flipped Classroom (FC) model, a teaching method used in various educational settings, including language learning, aims to improve student engagement and understanding. Its application in English language learning involves restructuring traditional teaching and learning methods. This study was meticulously designed to assess FC’s effectiveness in improving English language proficiency. A comprehensive meta-analysis was conducted on research articles from January 2021 to November 2023, retrieved from ERIC and the Scopus Index. After a rigorous independent review and data extraction process by two reviewers, nine studies with a total of 705 participants were included. The methodological quality of the selected articles was evaluated using the Fail-Safe N for Publication Bias Assessment. The results, which showed that FC was more effective than conventional methods in enhancing overall English language proficiency (SMD=0.85, 95% CI -0.57 to 1.12, P<.001, I2=65.45%), knowledge (SMD=0.84, 95% CI -0.55 to 1.12, P<.001, I2=49.49%), and skills (SMD=0.70, 95% CI -0.30 to 1.11, P<.01, I2=75.97%), instill confidence in the robustness of our findings. These results suggest that FC has the potential to significantly improve English language acquisition outcomes. However, further research with larger sample sizes is needed to confirm and strengthen these results.

Keywords: flipped learning, flipped classroom, teaching english, english educational, meta-analysis

Thada Jantakoon, Kitsadaporn Jantakun, Thiti Jantakun, Atjana Noibuddee, Rungfa Pasmala, Panita Wannapiroon, Prachyanun Nilsook (2025) The Effectiveness of Flipped Classroom in English Language Learning: A Meta-Analysis. World Journal of English Language Vol. 15, No. 3; 2025, pp. 50-64.
https://doi.org/10.5430/wjel.v15n3p50

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

Research, ผลงานตีพิมพ์, ผลงานวิจัย

การวิเคราะห์ความสัมพันธ์ของปัจจัยความสามารถในการใช้งานเว็บไซต์หน่วยงานภาครัฐระดับกระทรวง

บทคัดย่อการวิจัยนี้มีจุดมุ่งหมายเพื่อวิเคราะห์ความสัมพันธ์ของปัจจัยความสามารถในการใช้งานของเว็บไซต์ หน่วยงานภาครัฐระดับกระทรวง กลุ่มตัวอย่างที่ใช้ในการวิจัย คือเว็บไซต์หน่วยงานภาครัฐระดับกระทรวงในประเทศไทย
จำนวน 20 เว็บไซต์ และประชาชนผู้เคยเข้าใช้งานเว็บไซต์ จำนวน 427 คนเครื่องมือที่ใช้ในการวิจัยครั้งนี้ คือ แบบสอบถามและแบบบันทึกข้อมูลเว็บไซต์ ผลการวิจัยพบว่า ความสัมพันธ์ของปัจจัยความสามารถในการใช้งานของเว็บไซต์ หน่วยงานภาครัฐระดับกระทรวง พบว่า มีปัจจัย 5 ด้าน ที่มีความสัมพันธ์กับความสามารถในการใช้งานของเว็บไซต์หน่วยงานภาครัฐระดับกระทรวงในระดับปานกลาง ได้แก่ ปัจจัยด้านการให้บริการของหน่วยงาน ปัจจัยด้านการมีส่วนร่วมของประชาชน ปัจจัยด้านคุณลักษณะที่ควรมี ปัจจัยด้านความมั่นคงปลอดภัยสำหรับเว็บไซต์ และปัจจัยด้านการประกาศนโยบาย มีปัจจัย 3 ด้านมีความสัมพันธ์ในการใช้งานของเว็บไซต์หน่วยงานภาครัฐระดับกระทรวงในระดับค่อนข้างต่ำ ได้แก่ ปัจจัยด้านการตั้งชื่อเว็บไซต์ภาครัฐปัจจัยด้านข้อมูลพื้นฐานเกี่ยวกับหน่วยงานและปัจจัยด้านข้อมูลเปิดภาครัฐ

คำสำคัญ : ความสามารถในการใช้งานของเว็บไซต์ ,เว็บไซต์หน่วยงานภาครัฐ, การวิเคราะห์เว็บไซต์

คฑาวุธ เกษสระ, ศุมรรษตรา แสนวา และปรัชญนันท์ นิลสุข (2567)
การวิเคราะห์ความสัมพันธ์ของปัจจัยความสามารถในการใช้งานเว็บไซต์หน่วยงานภาครัฐระดับกระทรวง.
วารสารมนุษยศาสตร์และสังคมศาสตร์ มหาวิทยาลัยธนบุรี. 18(3), 52–61.
https://so03.tci-thaijo.org/index.php/trujournal/article/view/274753/185276

Kessara, K., Saenwa, S. ., & Nilsook, P. . (2024).
An Analysis Relationship of the Usability Factors of Government Ministry Websites in Thailand.
Journal of Humanities and Social Sciences Thonburi University, 18(3), 52–61.Retrieved from https://so03.tci-thaijo.org/index.php/trujournal/article/view/274753

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