educational data mining
With the development of education informatization and digitalization, Massive Open Online Courses (MOOCs) have been widely adopted in the teaching of higher vocational education due to their advantages such as flexibility of time and place, breaking the area boundary, and realizing the goal of sharing resources. Our data is crawled from 39 courses of higher vocational education on the website of China University MOOC (www.icourse163.org).
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Thailand's national development relies on higher education, posing challenges for the government to enhance graduate competence. High dropout rates impact education quality and student welfare, necessitating a comprehensive study. This research collects a dataset on student dropout and utilizes classification models to predict dropout likelihood at Rajamangala University of Technology Thanyaburi (RMUTT), Thailand. The dataset includes 2,137 undergraduate students from 2013 to 2019 and follows the CRISP-DM model, utilizing internal data sources from ARIT.
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