ABSTRACT

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

Abstract
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.
http://www.jatit.org/volumes/Vol100No10/5Vol100No10.pdf

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.
https://doi.org/10.18178/ijiet.2022.12.7.1665 (SCOPUS)