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A Rule-Based Approach for Mining Creative Thinking Patterns from Big Educational Data
Numerous studies have established a correlation between creativity and intrinsic motivation to learn, with creativity defined as the process of generating original and valuable ideas, often by integrating perspectives from different fields.
Nasrin Shabani +5 more
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Data Mining in Education [PDF]
Data mining techniques are used to extract useful knowledge from raw data. The extracted knowledge is valuable and significantly affects the decision maker. Educational data mining (EDM) is a method for extracting useful information that could potentially affect an organization.
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Algorithm of Problem Solving in Educational Data Mining Approach [PDF]
The presented article "Algorithm of Problem Solving in Educational Data Mining Approach" is following in the previous article "Data Mining Tools in Science Education" (Zaskodny, 2012, JSCI).
Premysl Zaskodny
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DATA MINING TECHNIQUES FOR EDUCATIONAL DATA: A REVIEW
Recently, data mining is gaining more popularity among researcher. Data mining provides various techniques and methods for analysing data produced by various applications of different domain. Similarly, Educational mining is providing a way for analyzing educational data set. Educational mining concerns with developing methods for discovering knowledge
Pragati Sharma, Dr. Sanjiv Sharma
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Data and Process Mining in Analysing Student Behaviour [PDF]
The diversity of students’ learning paths is crucial for acquiring knowledge. Although there are digital learning environments that provide many opportunities for managing the learning process, the rapid development of technologies can cause disruptions ...
Snježana Križanić +2 more
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Handbook of educational data mining
Este libro es un excelente material de lectura tanto para quienes ya conocen las técnicas como para los que recién se inician. Los lectores que posean conocimientos previos de Minería de Datos podrán apreciar en detalle la resolución de problemas ...
Lanzarini, Laura Cristina
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Student Performance Prediction Approach Based on Educational Data Mining
Predicting student performance is crucial for improving students’ future academic achievements. Within student groups, common characteristics can reveal trends in overall student learning.
Ziling Chen +3 more
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Utilizing Machine Learning Models to Predict Student Performance From LMS Activity Logs
In recent years, the application of data mining techniques on educational data has grown in importance. Educational data mining can be used to find hidden patterns in students’ academic conduct and predict future success by examining previous data.
Majid Khan +5 more
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Data-Mining Research in Education
As an interdisciplinary discipline, data mining (DM) is popular in education area especially when examining students' learning performances. It focuses on analyzing educational related data to develop models for improving learners' learning experiences and enhancing institutional effectiveness.
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Educational Data Mining: A Foundational Overview
Educational data mining (EDM) is a novel scientific area that focuses on developing and applying methods to analyze datasets generated within educational settings. This paper outlines the evolution, significance, and applications of EDM.
Ilias Papadogiannis +2 more
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