Corpus ID: 12181259
PREDICTING STUDENT PERFORMANCE: AN APPLICATION OF DATA MINING METHODS WITH THE EDUCATIONAL WEB-BASED SYSTEM LON-CAPA
B. Minaei-Bidgoli, D. Kashy, +1 author W. Punch
Published 2003
Engineering
Newly developed web-based educational technologies offer researchers unique opportunities to study how students learn and what approaches to learning lead to success. Web-based systems routinely… Expand
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125 Citations
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125 Citations
Application of Feature Selection Methods in Educational Data Mining
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Computer Science
2014
TLDR
This work defines a student data set with 309 records and 14 features collected by a survey from various graduation level students majoring in Computer Science under University of Calcutta, and different feature selection algorithms are applied on this data set.Expand
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Applying Data Mining (DM) in education is an emerging interdisciplinary research field also known as Educational Data Mining (EDM). Ensemble techniques have been successfully applied in the context… Expand
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TLDR
An overview on the data mining techniques that have been used to predict students performance and how the prediction algorithm can be used to identify the most important attributes in a students data is provided. Expand
Early Prediction of Students Performance using Machine Learning Techniques
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Computer Science
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TLDR
A set of attributes are first defined for a group of students majoring in Computer Science in some undergraduate colleges in Kolkata and it was found that the best results were obtained with the decision tree class of algorithms. Expand
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Educational Data mining techniques plays an important role in educational institution. It can be used to understand the difficulties arising in the teaching-learning professions. In machine learning,… Expand
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The data in education sector is increasing periodically which can be used to predict the performance of the students in the upcoming semesters. From this the students who are at the risk of failure… Expand
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Superiority of Rotation Forest Machine Learning Algorithm in Prediction of Students’ Performance
Manish Kumar
Computer Science
2016
TLDR
The experiments were conducted for the prediction task of educational data obtained from UCI Machine Learning repository using the five machine learning algorithms and show that the ROF classifier outperforms other classifiers in terms of Area under the ROC curve, accuracy and MCC respectively. Expand
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