Application of Data Mining Techniques for Predicting Student Success in English Exit Exam
作者： Wichai Puarungroj , Narong Boonsirisumpun , Pathapong Pongpatrakant , Suchada Phromkhot
关键词:
摘要: The students' English proficiency has become an important requirement for job seeking after graduation. universities in non-native speaking countries find their challenges improving language skills. Loei Rajabhat University dealt with this issue a long time by delivering various courses and tests to students. These activities have been carried out repeatedly year as common routine. However, the real status of student success predictors never known. This research, therefore, explored available data: test results (English placement exit exam) data students, who graduated 2013, 2014, 2015 using decision tree technique (C4.5). research constructed tested classification models predicting exam. also suggest that result was key attribute two attributes were plotted against each other scatter plot where regression analysis line equation generated predict exam scores.
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