Abstract
<span style="font-size: 10.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;">The purpose of the research is to identify the risk of dropping out in tertiary students with an application. The components of the research goal aim (1) to develop the students’ achievement prediction model and (2) to construct a prototype application for the predictions of the tertiary students dropping out. <a name="_Hlk71439748"></a>The research tools consisted of three parts, (1) tool for developing predictive prototypes uses a tool called the CRISP-DM process with Decision Tree Classification, Feature Selection methods, Confusion Matrix performance, Cross-Validation methods, Accuracy, Precision and Recall measurements, (2) tool for application development used the SDLC with V-method, and (3) tool to assess application satisfaction used questionnaires and statistical analysis. Data sample were collected from 401 students enrolled in the Business Computer Program at the School of Information and Communication Technology, University of Phayao during the academic year 2012-2016. The results showed that the prediction model had a very high percentage of accuracy (82.29%). The prototype test results with the data gathered had a very high score level (84.04%; correct 337 out of 401 training examples). An overview of the underlying application with the utmost integrity by the researchers planned to put the application to the test in the first semester of the academic year 2021 at the School of Information Technology and Communication, University of Phayao. For future research, the researchers plan to create a mobile application for mentors in the University of Phayao to monitor learner on both Android and iOS systems.</span>
Highlights
IntroductionEducational technology is emerging at a rapidly increasing acceleration. Technology has made an impact on education in many dimensions, including its positive and negative aspects
Nowadays, educational technology is emerging at a rapidly increasing acceleration
The research tools consisted of three parts, (1) tool for developing predictive prototypes uses a tool called the CRISP-DM process with Decision Tree Classification, Feature Selection methods, Confusion Matrix performance, Cross-Validation methods, Accuracy, Precision and Recall measurements, (2) tool for application development used the Software Development Life Cycle (SDLC) with V-method including requirement analysis, system design, architecture design, module design, coding, unit testing, integration testing, system testing, and acceptance testing, and (3) tool to assess application satisfaction used questionnaires and statistical analysis
Summary
Educational technology is emerging at a rapidly increasing acceleration. Technology has made an impact on education in many dimensions, including its positive and negative aspects. Technology deteriorates the quality of education, for example, students have lower concentration and interest in learning [8], the rising cost of education, attempts to use technology for exam cheating, mobile addicted [9], [10], learners get disconnected from the real world, and many others. Both positive and negative impacts affect the normal educational process. The rate of non-graduation or drop out during the study is a constant rate with a high level of approximately 40% as presented in Figure 3, Table 1 and Table 2
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