http://www.repository.rmutt.ac.th/xmlui/handle/123456789/575 2026-03-31T06:14:46Z http://www.repository.rmutt.ac.th/xmlui/handle/123456789/4668 Title: การพัฒนารูปแบบเครือข่ายความร่วมมือทางวิชาการระหว่างมหาวิทยาลัยเทคโนโลยีราชมงคลกับโรงเรียนเครือข่ายสู่การศึกษาต่อระดับอุดมศึกษา Authors: กิตติ จุ้ยกำจร Abstract: การวิจัยครั้งนี้มีวัตถุประสงค์เพื่อ 1) ศึกษาสภาพการจัดการเรียนรู้ในโครงการความร่วมมือระหว่างมหาวิทยาลัยเทคโนโลยีราชมงคลธัญบุรีกับโรงเรียนเครือข่าย 2) พัฒนารูปแบบเครือข่ายความร่วมมือทางวิชาการระหว่างมหาวิทยาลัยเทคโนโลยีราชมงคลกับโรงเรียนเครือข่ายสู่การศึกษาต่อระดับอุดมศึกษา และ 3) ประเมินรูปแบบเครือข่ายความร่วมมือทางวิชาการระหว่างมหาวิทยาลัยเทคโนโลยีราชมงคลกับโรงเรียนเครือข่ายสู่การศึกษาต่อระดับอุดมศึกษา การดำเนินการวิจัยแบ่งเป็น 3 ขั้นตอนคือ 1) ศึกษาสภาพการจัดการเรียนรู้ 2) พัฒนารูปแบบเครือข่ายความร่วมมือทางวิชาการ และ 3) ประเมินรูปแบบเครือข่ายความร่วมมือทางวิชาการ กลุ่มตัวอย่างและผู้ให้ข้อมูลสำคัญที่ใช้ในการวิจัย ได้แก่ นักเรียน ผู้บริหาร อาจารย์ ครู และผู้เกี่ยวข้องกับโครงการความร่วมมือทางวิชาการ เครื่องมือที่ใช้ในการวิจัย คือแบบสอบถามความคิดเห็น แบบประเมินรูปแบบสถิติที่ใช้วิเคราะห์ข้อมูล ได้แก่ ค่าเฉลี่ย และส่วนเบี่ยงเบนมาตรฐาน ผลการวิจัย พบว่า 1) สภาพการจัดการเรียนรู้ในโครงการความร่วมมือระหว่างมหาวิทยาลัยเทคโนโลยีราชมงคลธัญบุรีกับโรงเรียนเครือข่าย โดยรวมเห็นด้วยในระดับมาก 2) ผลการพัฒนารูปแบบโดยรวมเห็นด้วยในระดับมาก และ 3) ผลการประเมินรูปแบบเครือข่าย โดยรวมมีความเหมาะสมในระดับมาก สรุปได้ว่ารูปแบบเครือข่ายความร่วมมือทางวิชาการที่พัฒนาขึ้น สามารถนำไปเป็นแนวทางในการจัดการเรียนการสอนและขยายผลต่อไป; This research aimed to: 1) investigate the learning management situation in the collaboration projects between Rajamangala University of Technology Thanyaburi and the network schools, 2) develop an academic collaborative networking model between Rajamangala University of Technology and the network schools to promote education to the higher level and 3) evaluate the academic collaborative networking model between Rajamangala University of Technology and the network schools for further education to the higher level. The research process consisted of three stages: 1) investigating the learning management situations, 2) developing the academic collaborative networking model and 3) evaluating the academic collaborative networking model. The research sampling and key informants included students, administrators, instructors, teachers, and stakeholders involved in the academic collaboration project. The tools for data collection used for data analysis were opinion questionnaires and model evaluation forms. The statistical methods for data analysis were mean and standard deviation. The findings of the research indicated that: 1) the overall perceptions of learning management situation in the collaboration projects were also agreed on the high level, 2) the developed model, analyzed through group discussions, was widely agreed upon and 3) the evaluation of the components of the model was agreed on the high level. In conclusion, the academic collaborative networking model developed could be served as a guideline for teaching management and expansion in the future. 2566-01-01T00:00:00Z http://www.repository.rmutt.ac.th/xmlui/handle/123456789/4667 Title: Analysis and countermeasures of scientific research performance of higher vocational colleges in Sichuan province using the DEA-BCC model Authors: Lin Zhou Abstract: This study aimed to: 1) analyze and evaluate the scientific research performance of higher vocational colleges in Sichuan province, China, 2) analyze the impact and importance of research input indicators on the research performance of higher education colleges and 3) establish a comprehensive evaluation model for analyzing the scientific research performance of higher vocational colleges in Sichuan province. The study samples included research performance input and output data from 30 higher vocational colleges in Sichuan province from 2019 to 2021. Correlation analysis between research input and output was conducted using the DEA-BCC model, the Malmquist index model, and the Rough Set theory. The computation of the DEA-BCC model and the Malmquist index model was performed using DEAP2.1 software, while the Rough Set theory was analyzed using the Python programming language. The results showed that: 1) five colleges demonstrated good scientific research performance as analyzed by DEA-BCC and Malmquist index models. Despite an overall upward trend in scientific research performance among higher vocational colleges in Sichuan, the levels remain relatively modest, 2) internal expenditure for scientific research funds and senior and above professional teachers were found to have a significant impact on scientific research efficiency according to the Rough Set analysis and 3) the integrated use of the DEA-BCC model, Malmquist index model, and Rough Set theory can scientifically and effectively evaluate the research performance of higher vocational colleges. It can be concluded that improving research management, resource utilization, and technological innovation can enhance efficiency and bridge gaps among higher vocational colleges in Sichuan province. 2023-01-01T00:00:00Z http://www.repository.rmutt.ac.th/xmlui/handle/123456789/4666 Title: Research on influencing factors of college students' online learning effectiveness and satisfaction based on the structural equation model Authors: Yanping Dai Abstract: Online learning, as a way of learning, has shown its increasing influence in today's rapid development of science and technology and the Internet. Online education is an important engine for China to realize its education modernization and develop into a modern education power. The stage of higher education is an important stage to train professional workforce. It is of great practical significance to study college students' online learning satisfaction to construct online courses and improve online education quality. Based on constructivist learning theory, blended learning theory, educational communication theory, and distance learning interaction theory, this research identified three potential variables of college students' online learning effectiveness and satisfaction based on literature research. Knowledge construction, teacher-student interaction, and information processing were hypothesized to construct an initial model of factors influencing college students' online learning effectiveness and satisfaction. Based on the empirical study of the structural equation model, 32 observed variables were established, and a questionnaire was designed according to the observed variables and was then evaluated by experts to obtain the formal questionnaire. The questionnaire consisted of questions about learning resources, independent learning, teacher input, communication and interaction, platform quality, independent learning, online skills, learning effectiveness, and learning satisfaction. The participants were 389 online college students from different schools and different majors who had studied online for over a year on the MOOC online learning platform of Chinese universities, selected using purposeful random sampling. SPSS24.0 was used for statistical analysis of the data, and AMOS24.0 was used to test, modify, and establish the final influencing factor model. Based on the research conclusion, the study offers some inspirations from the perspectives of teachers' role positioning in students' learning process, students' information processing and knowledge construction ability training, course resource construction and course design, information software and hardware construction, and external environment support to provide useful references for improving and enhancing students' online learning effectiveness and satisfaction. 2023-01-01T00:00:00Z http://www.repository.rmutt.ac.th/xmlui/handle/123456789/4665 Title: Data-drive analysis of teaching quality impact on graduate employment in higher vocational colleges of Hefei Authors: Ning Wang Abstract: The objectives of this study were to identify the influence of teaching quality in higher vocational colleges on the employment quality of graduates and develop instructional design informed by both theoretical and empirical analysis that synthesize the relationships among teaching quality, human capital, and employment quality. In collaboration with 17 experts, the samples were selected through the purposive sampling method, which included 100 instructors from higher vocational colleges in China. Using the Delphi technique with questionnaire data, it was found that vocational college teaching quality was positively influenced by both graduates' human capital and employment quality. Vocational education had a favorable effect on employment quality, with human capital playing a crucial role in enhancing teaching quality. The distribution of 600 questionnaires resulted in 527 valid responses, yielding a response rate of 87.83%. Data processing and analysis were used to analyze the valid questionnaire data. However, the relationship between teaching quality and employment quality was mediated by professional cognition and growth ability. The research results shed light on the important insights for vocational colleges, pointing to the crucial significance of human capital and educational quality in improving employment quality. In higher vocational colleges, previous research investigated the connection between human capital, employment quality, and instructional quality. In addition, the data from Hefei graduates indicate that teaching quality positively affects graduates' human capital and employment quality. Thus, the link between teaching and learning is moderated by human capital. The research employed AMOS software to analyze the data, revealing a direct effect of higher college teaching quality on graduates' employment quality and human capital. The significance level of these effects is .001, indicating a strong capacity for explanatory reasoning. 2023-01-01T00:00:00Z