Results 11 to 20 of about 19,913 (253)
Leveraging Causal Reasoning in Educational Data Mining: An Analysis of Brazilian Secondary Education
This study presents an approach to investigating the main interventions related to gains on performance using a combination of educational data mining (EDM) techniques and traditional theory-driven models.
Rogério Luiz Cardoso Silva Filho +2 more
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AbstractApplying data mining (DM) in education is an emerging interdisciplinary research field also known as educational data mining (EDM). It is concerned with developing methods for exploring the unique types of data that come from educational environments.
Cristóbal Romero 0001 +1 more
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Educational Data Mining Using JMP
Educational Data Mining is a growing trend in case of higher education. The quality of the Educational Institute may be enhanced through discovering hidden knowledge from the student databases/ data warehouses. Present paper is designed to carry out a comparative study with the TDC (Three Year Degree) Course students of different colleges affiliated to
Sadiq Hussain, G. C. Hazarika
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Educational Data Mining and Problem-Based Learning
This paper considers the use of log data provided by learning management systems when studying whether students obey the problem-based learning (PBL) method.
Sari WALLDÉN, Erkki MÄKINEN
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INCREMENTAL RELATIONAL ASSOCIATION RULE MINING OF EDUCATIONAL DATA SETS
Educational Data Mining is an attractive research field in which the underlying idea is that of bringing the data mining perspective into educational environments.
Liana Maria CRIVEI
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Benefits of Educational Data Mining
We live in a world where we collect huge amounts of data, but if this data is not further analyzed, it remains only huge amounts of data. With new methods and techniques, we can use this data, analyze it and get a great advantage. The perfect method for this is data mining.
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Resource description framework based methodology to personalise learning
The paper aims to analyse Educational Data Mining/Learning Analytics application trends to personalise learning. First of all, systematic literature review was performed.
Irina Krikun, Eugenijus Kurilovas
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A comparative study of ensemble methods in the field of education: Bagging and Boosting algorithms
This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABİDE ...
Hikmet Şevgin
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Educational data mining: overview and research trends
The article presents a systematic literature review about the most commonly used data sources and data mining methods in education. International database Web of Science was selected.
Dovilė Stumbrienė +1 more
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Review of the Development of Learning Analytics Applied in College-Level Institutes [PDF]
This article focuses on the recent development of Learning Analytics using higher education institutional big-data. It addresses current state of Learning Analytics, creates a shared understanding, and clarifies misconceptions about the field.
Ken-Zen Chen
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