Abstract:Population is the personnel working in higher education institutions in Thailand, the population used in this research included personnel under 155 institutions of higher education under the supervision of the ministry of higher education, science, research, and innovation, divided into 3 groups: state university private university. using a sample of 300 higher education personnel. sampling by cluster sampling used statistics on frequency distribution of data by percentage Arithmetic mean standard deviation inferential statistical analysis. The research objective was to analyze the factors influencing the transition. Higher education institutions to high-performance digital entrepreneurs university. Data were analyzed by using descriptive statistics, frequency distribution of data by percentage. Arithmetic means standard deviation Analysis of inferential statistics and confirmatory factor analysis (CFA).Published in: 2022 International Conference on Decision Aid Sciences and Applications (DASA)Date of Conference: 23-25 March 2022Date Added to IEEE Xplore: 02 May 2022ISBN Information:DOI: 10.1109/DASA54658.2022.9765297Publisher: IEEEConference Location: Chiangrai, Thailand
T. Meepung, P. Nilsook and P. Wannapiroon, “Factors Influencing the Transition of Entrepreneurial University,” 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 1505-1509, https://doi.org/10.1109/DASA54658.2022.9765297
Abstract:This research aims to apply confirmatory factor analysis to identify the enterprise architecture components for higher education institutions. The research sample comprised 300 personnel from agencies within higher education institutions, which are higher education institutions under the Ministry of Higher Education, Science, Research and Innovation that use the database system of educational quality assurance called Commission on Higher Education Quality Assessment online system (CHE QA Online). The selection resulted from multi-stage random sampling from 100 higher education instructions. The research tool was an online questionnaire form on factors influencing the enterprise architecture in the digital transformation for higher education institutions by 5-level rating scale based on the Likert’s scale. The result revealed that the enterprise architecture factor is consistent with empirical data (p-value = 0.370), which comprise 5 components: 1) Business 2) Data/Information 3) Application 4) Infrastructure and 5) Security. The research findings help higher education institutions design their blueprint for the institutional transformation to a digital organization.Published in: 2022 International Conference on Decision Aid Sciences and Applications (DASA)Date of Conference: 23-25 March 2022Date Added to IEEE Xplore: 02 May 2022ISBN Information:DOI: 10.1109/DASA54658.2022.9764970Publisher: IEEEConference Location: Chiangrai, Thailand
C. Tungpantong, P. Nilsook and P. Wannapiroon, “Confirmatory Factor Analysis of Enterprise Architecture for Higher Education Institutions,” 2022 International Conference on Decision Aid Sciences and Applications (DASA), 2022, pp. 965-969, https://doi.org/10.1109/DASA54658.2022.9764970
This research was conducted with the following aims: to enable master teachers to develop electronic tales for preschoolers using Stop Motion techniques according to the Early Childhood Imagineering Model (ECIM) process; to evaluate the quality of these electronic tales; to evaluate master teachers’ ability to develop these tales; to evaluate the effect of master teachers’ transfer of the development of electronic tales to early childhood education (ECE) student teachers; and to evaluate master teachers’ satisfaction with their development of these electronic tales. The sample comprised 24 ECE instructors in higher education, who were selected as the master teachers, and 480 ECE student teachers. The findings revealed that the master teachers were able to develop 24 electronic tales for preschoolers using the Stop Motion technique according to the Early Childhood Imagineering Model (ECIM) process. They also indicated that the quality of the electronic tales, master teachers’ ability to develop these tales and transfer their development to student teachers, and master teachers’ level of satisfaction with the development of these electronic tales, were all at a high level.
Jira Jitsupa, Ravee Siriprichayakorn, Chontida Yakaew, Nualsri Songsom and Prachyanun Nilsook (2022) Stop Motion Animation for Preschoolers by Master Teachers. Journal of Education and Learning ; Vol. 11, No. 3; 2022, pp 27-39. https://doi.org/10.5539/jel.v11n3p27 (ERIC)
The objectives of this research were 1) to synthesize the model of early childhood Imagineering for developing digital storytelling; 2) to establish the model of early childhood Imagineering for developing digital storytelling; 3) to evaluate the model of early childhood Imagineering for developing digital storytelling. The research methodology was divided into three phases: 1) the documents in the Imagineering process, including the LA-OR model process and the stop motion animation process, were synthesized to establish the model of early childhood Imagineering for developing digital storytelling; 2) a model of early childhood Imagineering was established in order to develop digital storytelling; 3) the suitability of the model of early childhood Imagineering for developing digital storytelling was evaluated. The results showed that the model of early childhood Imagineering for developing digital storytelling consisted of the four following steps: 1) L: Leading to Learn consisted of imagination; 2) A: Active Learning consisted of two factors: Designing and Development; 3) O: Opinion Sharing consisted of Presentation; and 4) R: Reflective Thinking consisted of two factors: Improvement and Evaluation. According to an evaluation from experts, it was shown that the experts strongly agreed on the development model of early childhood Imagineering for developing digital storytelling.
Jira Jitsupa, Prachyanun Nilsook, Nualsri Songsom, Revee Siriprichayakorn and Chontida Yakeaw (2022) Early Childhood Imagineering : A Model for Developing Digital Storytelling. International Education Studies, Vol. 15, No. 2 (2022) ; pp. 89-101. https://doi.org/10.5539/ies.v15n2p89 (ERIC)
