Data mining technology is a product of the development of the new era. Unlike other similar technologies, data mining technology is mainly committed to solving various application problems, and the main means of solving problems are to use big data technology and machine learning algorithms. Simply put, data mining technology is like panning for gold in the sand, searching for useful information among massive amounts of information. Data mining technology is widely applied in various fields, such as scientific research and business, and also has its shadow in the education industry. Currently, major universities are applying data mining technology to teaching quality evaluation. This article first explains the impact of data mining technology on the education industry, and then specifically discusses the application of data mining technology in the evaluation of teaching quality in universities.

This research aims to examine the structural relationships between the dimensions of workation attachment, workationer power, the dimensions of workation relationship quality, and workation intention. It demonstrates that the proposed model aligns well with the collected data based on a convenience sample comprising 494 workationers in Bangkok using structural equation modeling. The analysis outcomes contribute to the tourism marketing theory by providing additional insights into the dimensions of workation attachment, workationer power, the dimensions of workation relationship quality, and workation intention. The findings from this study can aid workation managers in formulating and executing market-oriented service strategies to enhance the dimensions of workation attachment, workationer power, and workation relationship quality and foster workation intention.