คลังเก็บป้ายกำกับ: SCOPUS

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

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

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

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

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

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

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

การอ้างอิงผลงานการตีพิมพ์สูงสุด 4 อันดับ พ.ศ.2567

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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