Abstract:The Impact of Industry Revolution has been accelerated by global pandemic crisis recently. Disruptive technology is one of the key driving forces of transformation on the rapid change in business model and market demand. Traditional industries, including education, experience the challenge of maintaining business at lower cost while generating high performance (more revenue) and staying relevant in the market. Digital Transformation helps improve collaboration within and between organizations by creating immersive customer experience for better engagement. Enterprise organization wants to grow and give it a better chance of thriving post-pandemic by becoming more innovative and generating higher productivity and making better decisions with insights from data-driven platform. To achieve all the business requirements for transformation is not straightforward. By understanding the alignment of Business and Information Technology Architecture, Higher Education institutions can manage the challenges of the future trends. The success of Digital Transformation in enterprise organizations is determined by an agile implementation framework of Enterprise Architecture (EA). Enterprise Architecture is the critical intermediary between business and IT corporate wide strategy. Through understanding the current situation and performance of an enterprise, EA can help foresight future business challenges and deliver the information needed while simultaneously ensuring opportunities for business growth
S. Sararuch, P. Wannapiroon and P. Nilsook, “Dimensions of Agile Enterprise Architecture,” 2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C), 2022, pp. 304-309,
Abstract:The objective of this research is to Present the use of Digital Twin. Internet of Things and Intelligence Technology to Intelligently Develop The Energy Management Potential of Campuses By using Digital Twin to manage energy consumption, it enables the creation of work and life on campus, whether it is personal. Teachers and students, including those with disabilities, have a better quality of life. Living on campus is more comfortable Collect energy consumption data, organizations to manage power management systems, reduce energy consumption, simplify management in all departments, and reduce campus costs. It can transparently monitor energy consumption and use educational equipment on campus, especially cost and expenditure management, and sustainable energy consumption, as well as management. Control usage data, energy consumption results, and budget allocations related to educational institutions can create reliability in managing information about electrical energy and energy competency assessment results, and can be recorded and controlled in Digital Twin that can be as if it were with a control center. IoT and Cloud Computing are also integrated with AI systems embedded in state-of-the-art equipment for use in environmental management and intelligent energy management. As well as creating new energy models and management that can resolve future emergencies by controlling virtual energy within the organization from outside anytime, anywhere.
T. Pexyean, K. Saraubon and P. Nilsook, “IoT, AI and Digital Twin For Smart Campus,” 2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C), 2022, pp. 160-164,
Collaborative project-based learning to train students for conducting the training project for older adults
Phetcharee Rupavijetra, Prachyanun Nilsook, Jira Jitsupa, Tipparat Nopparit
This research aimed to study the results of collaborative project-based learning by students studying the training technique course to conduct training programs for older adults in state home care in Chiang Mai, Thailand. The population consisted of 40 undergraduate students from different faculties and years. The instruments used for data collection consisted of the lesson plan of the training technique course, student behavior form, journal form after teaching, student products, student reflection journals, the questionnaire to gauge the level of satisfaction of students, writing and presenting reflections on students’ learning, and training evaluation based on the level of satisfaction of the older adults. The research separated students into two groups based on different faculties, each group was composed of 20 students, and they could learn better in a small group. Data were analyzed by using content analysis, statistical calculation, and percentage, and were presented in the form of a description and table. The findings showed the results of the collaborative project-based learning to train students for conducting training projects for older adults successful. The students had a change in their attitudes, behaviors, knowledge, skills, and experience in conducting training, their satisfaction showed at the highest level (97.50%). Students were satisfied with the project-based learning at the highest level (90%), and especially the opportunity to gain knowledge and experience from conducting training programs at the highest level (95%). The older adults’ satisfaction from participating in two training programs conducted by the students was at the highest level (100%) too.
Phetcharee Rupavijetra, Prachyanun Nilsook, Jira Jitsupa and Tipparat Nopparit (2022)
Collaborative project-based learning to train students for conducting the training project for older adults.
International Journal of Evaluation and Research in Education (IJERE).
Vol. 11, No. 4, December 2022, pp. 2039-2048. (SCOPUS), (ERIC)
Critical success factors for smart-professional disruptor in university
Phisit Pornpongtechavanich, Kawitsara Eumbunnapong, Therdpong Daengsi, Prachyanun Nilsook
Current and emerging technologies have changed a lot. Consequently, every year, Gartner Technology has made many new changes in accordance with global developments. For example, in terms of artificial intelligence (AI), mixed reality (MR), extended reality (XR), collaboration platforms, online learning, distributed cloud, internet of behaviors (IoB), and cybersecurity. Due to changes in technology, disruptors have to constantly learn new technology in order to be up to date in the transfer of knowledge to learners. Therefore, in this research, critical success factors (CSFs) have been studied, which help them become highly skilled professionals by developing their own skills with technology to be a successful disruptor at university. The study found the CSFs, which were derived from the synthesis of international research papers. Disruptors’ success consists of 12 internal and 10 external success factors. Smart-professional disruptors in universities were assessed using a focus group method with eight experts. Focus group results found that there were seven important internal factors for smart-professional disruptors in universities and seven minor internal factors. Including all internal factors, smart-professional disruptors have 14 factors; external factors are the most important ones for smart-professional disruptors in universities. In total, smart-professional disruptors have a total of 11 external factors.
Phisit Pornpongtechavanich, Kawitsara Eumbunnapong, Therdpong Daengsi and Prachyanun Nilsook (2022)
Critical success factors for smart-professional disruptor in university.
International Journal of Evaluation and Research in Education.Vol. 11, No. 4, December 2022, pp. 1696-1703. (SCOPUS), (ERIC)
The purposes of this research study are to develop an intelligent virtual universal learning (IVUL) model and to evaluate its appropriateness. The study consisted of two phases. Phase 1 involved the development of the IVUL model for univer-sal learning. The conceptual frameworks and theories in the documents and re-search studies on universal design for learning, intelligent learning and virtual learning were studied by the researchers. All main components were then synthe-sised to design the IVUL model. This process can be divided into three main steps: engagement, representation, and action and expression. Each step has sub-steps: access, build and internalise. However, the details of these are dependent on the main steps. The second component is the intelligent learning process, an important process of the model that drives learners to automatically learn by themselves. Artificial intelligence is used as a crucial component that promotes and supports each learner to meet learning goals and objectives according to the universal learning model. The third component is the virtual learning process, which results in learning through computer environments and the Internet. Phase 2 involved an evaluation of the appropriateness of the IVUL model, with in-depth interviews with 20 experts in education and digital technologies. The appropriate-ness of the model was evaluated using the 5-point Likert scale. The findings show that the designed IVUL model can be used for learning development at the highest level.
Chaiyarak, S., Nilsook , P., & Wannapiroon, P. (2022). IVUL Model: An Intelligent Learning Development Process.
International Journal of Emerging Technologies in Learning (iJET), 17(14), pp. 39–51. https://doi.org/10.3991/ijet.v17i14.31527
Transform universities with digital technology drives changes in both operations. The procedures in accordance with the planned goal or long-term university development plan are in accordance with state policy guidelines. According to the national strategic plan, national economic and social development plan, long-term higher education plan, national development plan. The purpose of this research the content to propose the structural equation model for high performance digital entrepreneurial university. The research instituted the hypothesized digital transformation, entrepreneurial university, digital organization, enterprise architecture and high-performance organization. The research was conducted in both quantitative and qualitative survey and interview were conducted with 300 representatives were selected by cluster sampling working in the higher education institutions. The results of research the analysis of structural equation model found that the evaluation was consistent with the empirical data. The conclusions are as follows: (Chi-square=90.267 df. =75) (CMIN/DF = 1.204) (GFI =. 974) and (RMSEA =. 026). The results showed that all factors had a direct effect on the significant statistics of 0.001
Tippawan Meepung, Prachyanun Nilsook, and Panita Wannapiroon (2022).Higher Education Management to Digital Entrepreneurial University. Journal of Theoretical and Applied Information Technology. May 2022. Vol.100. No 10.
In the digitalization era, the role of Information Technology Services (IT Services) for Higher Education Institutes (HEIs) is driven by the demand for the use of such data and access to information. Nowadays, information is diverse and constantly transforming. An IT Service that meets the needs of academic users is therefore important. In this research, different patterns of information technology service are studied by synthesizing the democratization of information technology and IT Services, and by analyzing the components of the democratization of IT Services for HEIs according to international standards such as ITIL, COBIT5, and ISO 20000. This is followed by an evaluation of the democratization of IT Services for higher education institutes. The analysis of the democratization of IT Service for HEIs, this research finding to consist of eight components that develop the administration process. The optimum IT Service provided for HEIs and organizations is supporting the policy and the democratization of information technology also encourages academic management to increase competitiveness in strategic areas to achieve the objectives of institutes and organizations. It also develops the potential of academic institutes so that they can become superior to competitors in the business arena.
Chanita Sattaburuth and Prachyanun Nilsook (2022)
Democratization of Information Technology Services for Higher Education Institutes. Journal of Theoretical and Applied Information Technology. May 2022. Vol.100. No 9. (SCOPUS)
Abstract—This research aims to develop online teaching plan through applying gamification. The results reveal learning performance, motivation, and satisfaction of the undergraduate towards the intervention. The sampling group is the undergraduate enrolling in Digital Literacy course in the second semester of the 2020 academic year of 154. The research tools consist of online teaching plan incorporating gamification, achievement test, motivation level evaluation form, and satisfaction survey of the undergraduate with this teaching plan. The results inform that the online teaching plan generates performance according to the specified 80/80 criteria. The learning performance of the undergraduate is significantly higher than that before the implementation of the online teaching plan incorporating gamification at .01. Learning motivation of the undergraduate is significantly different with the statistical level of .01. Also, the undergraduate is highly satisfied with online teaching applying gamification.
Jira Jitsupa, Mutita Takomsane, Sasanun Bunyawanich, Nualsri Songsom, and Prachyanun Nilsook, “Combining Online Learning with Gamification: An Exploration into Achievement, Motivation, and Satisfaction of the Undergraduate,” International Journal of Information and Education Technology vol. 12, no. 7, pp. 643-649, 2022.