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Articles 1 - 3 of 3
Full-Text Articles in Education
التنبؤ بأداء الطلاب بناء على ملف الطالب الأكاديمي, Hadi Khalilia, Thaer Sammar, Yazeed Sleet
التنبؤ بأداء الطلاب بناء على ملف الطالب الأكاديمي, Hadi Khalilia, Thaer Sammar, Yazeed Sleet
Palestine Technical University Research Journal
Data mining is an important field; it has been widely used in different domains. Oneof the fields that make use of data mining is Educational Data Mining. In this study, we apply machine learning models on data obtained from Palestine Technical University-Kadoorie (PTUK) in Tulkarm for students in the department of computer engineering and applied computing. Students in both fields study the same major courses; C++ and Java. Therefore, we focused on these courses to predict student’s performance. The goal of our study is predicting students’ performance measured by (GPA) in the major. There are many techniques that are used …
A Predictive Analytics Approach To Building A Decision Support System For Improving Graduation Rates At A Four-Year College, Xuan Wang, Helmut Schneider, Kenneth R. Walsh
A Predictive Analytics Approach To Building A Decision Support System For Improving Graduation Rates At A Four-Year College, Xuan Wang, Helmut Schneider, Kenneth R. Walsh
Information Systems Faculty Publications and Presentations
Although graduation rates have interested stakeholders, educational researchers, and policymakers for some time, little progress has been made on the overall graduation rate at four-year state colleges. Even though selective admission based on academic indicators such as high school GPA and ACT/ SAT have widely been used in the USA for years, and recent statistics show that less than 40% of students graduate from four-year state colleges in four years in the US. The authors propose using an ensemble of analytic models that considers cost as a better form of analysis that can be used as input to decision support …
Pre-College Characteristics And Online Homework Learning: Factors Associated With First Year Engineering Students’ Academic Success, Wenshu Li
Doctoral Dissertations
The purpose of the study was to develop a working model to predict at risk students in an Introduction to Engineering course. The model considers both students’ pre-college characteristics, psychological traits, and online homework learning behavior. The study assisted the course instructor in the creation of an early warning system and the development of targeted interventions for students at risk. A reliable and valid instrument to measure engineering students’ pre-college characteristics was initially developed. The study also applied data mining to analyze the student online homework logs in order to observe engineering students’ homework learning process. A decision tree model …