Artificial Intelligence (AI) Analytics to Enhance EdPEx Self-Assessment Quality and Data-Driven Strategic Decision Making

Tappawan  Preedagasemzin; Monchai  Sripetchnai; Supakorn  Tunvaravuttichai; Ekarat Chaichotchuang; Li  Guobin

ผู้แต่ง

Tappawan Preedagasemzin College of Innovation and Management, Suan Sunandha Rajabhat University, Thailand.
Monchai Sripetchnai College of Innovation and Management, Suan Sunandha Rajabhat University, Thailand.
Supakorn Tunvaravuttichai College of Innovation and Management, Suan Sunandha Rajabhat University, Thailand
Ekarat Chaichotchuang College of Innovation and Management, Suan Sunandha Rajabhat University, Thailand.
Li Guobin Faculty of Management, Shinawatra University, Thailand.

คำสำคัญ:

Education, Excellence, Self-Assessment, Artificial Intelligence

บทคัดย่อ

The research on the Study of the quality of self-assessment according to the criteria for developing educational quality towards excellence (EdPEx) has the objectives 1) to study the factors related to the quality assurance operation and the self-assessment process according to the criteria for developing educational quality towards excellence (EdPEx) 2) to find the formats, concepts, and main issues that affect the self-assessment according to the criteria for developing educational quality towards excellence (EdPEx) using a mixed research methodology. The research collected data from the sample group, including administrators, lecturers, and staff of Suan Sunandha Rajabhat University.

The quantitative findings revealed that the overall level of quality assurance system implementation and self-assessment was "high" (mean 4.02, SD = 0.48). The highest-scoring categories were organizational leadership and strategic planning, while the lowest-scoring categories were measurement, analysis, and knowledge management and implementation. A Pearson correlation analysis revealed a significant positive relationship between administrator commitment and staff engagement and the level of quality assurance system implementation (r = 0.68, p < 0.01). Multiple regression analysis indicated that administrator commitment and internal communication were key factors positively influencing quality assurance system implementation (p < 0.05) and accounted for 55% of the variance. The qualitative findings from in-depth interviews indicated that Respondents have a basic understanding of EdPEx principles but lack a systematic understanding. Organizational leadership and governance play a crucial role in driving educational quality. Strategic planning is clear but lacks the use of evidence-based data to support decision-making. Regarding customer focus and knowledge management, there are still developments to include a central tracking system and database. Meanwhile, personnel have positive attitudes toward quality assurance but require further knowledge development.

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