Abstract: This paper aims to analyze the situation of dropout of business computer students at University of Phayao. The composition of the goal consists of 3 main points, including summarizing the situation from the past to the present, statistical analysis and machine learning analysis. Data collection is 1,888 students from the Department of Business Computer at University of Phayao from the academic year 2001–2016. The research tools are percentages, decision tree, cross-validation methods, and confusion matrix performance. The results showed that the dropout rate of learners in business computer program tended to increase even though the number of new students decreased. It was found that the academic results had a significant influence on dropout, which most of the students who dropped out were obviously in their first academic year. Which, the model received is a high-performance prediction level with an accuracy of 87.21%. It was found that factors affecting the dropout consisted of seven courses: 221110, 221120, 001103, 128221, 005171, 122130 and 128221. Based on research findings, it represents a situation that has entered into a crisis in which the stakeholders need to focus on the above problems.

Keywords: Student dropout prediction, Analysis dropout situation, Educational data mining, Personal learning pathway

Citation: Nuankaew, P., Nuankaew, W., Phanniphong, K., Fooprateepsiri, R., Bussaman, S. (2020). Analysis Dropout Situation of Business Computer Students at University of Phayao. In: Auer, M., Hortsch, H., Sethakul, P. (eds) The Impact of the 4th Industrial Revolution on Engineering Education. ICL 2019. Advances in Intelligent Systems and Computing, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-030-40274-7_42