Abstract
<p style="text-align: justify;">Modern technology is necessary and important for improving the quality of education. While machine learning algorithms to support students remain limited. Thus, it is necessary to inspire educational scholars and educational technologists. This research therefore has three main targets: to educate the holistic context of rural education management, to study the relationship of continuing education at the upper secondary level, and to construct an appropriate education program prediction model for high school students in a rural school. The data for research is the academic achievement data of 1,859 students from Manchasuksa School at Mancha Khiri District, Khon Kaen Province, Thailand, during the academic year 2015-2020. Research tools are separated into 2 sections. The first section is a basic statistical analysis step, it composes of frequency analysis, percentage analysis, mean analysis, and standard deviation analysis. Another section is the data mining analysis phase, which consists of discretization technique, XGBoost classification technique (Decision Tree, Gradient Boosted Trees, and Random Forest), confusion matrix performance analysis, and cross-validation performance analysis. At the end, the research results found that the reasonable distribution level of student achievement consisted of four clusters classified by academic achievement. All four clusters were modeled on predicting academic achievement for the next generation of students. In addition, there are four success models in this research. For future research, the researcher aims to develop an application to facilitate instruction for learners by integrating prediction models into the mobile application to promote the utilization of modern technology.</p>
Highlights
The importance of human development is to provide quality education to learners
Another section is the data mining analysis phase, which consists of discretization technique, XGBoost classification technique (Decision Tree, Gradient Boosted Trees, and Random Forest), confusion matrix performance analysis, and cross-validation performance analysis
The research results found that the reasonable distribution level of student achievement consisted of four clusters classified by academic achievement
Summary
The importance of human development is to provide quality education to learners. The key principle for raising the quality of education is to promote learners, apply knowledge, and use innovative technologies that are appropriate for learners (Almetov et al, 2020; Prudnikov, 2020). It is in principle linked to science, technology, engineering, and mathematics (STEM) theory. STEM is the study of science, technology, engineering, and mathematics in all levels of education. It often serves as the knowledge for science and technology education at the university level (Kersanszki & Nadai, 2020). Engineering education should not aim and promote learning only in engineering but should lead the scientific and engineering process to develop a body of knowledge in educational management
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have