Resource description framework based methodology to personalise learning
Lietuvos Matematikos Rinkinys, 2016 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
International Journal of Assessment Tools in Education, 2023 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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Review of the Development of Learning Analytics Applied in College-Level Institutes [PDF]
Jiàoyù zīliào yǔ túshūguǎn xué, 2014 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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A Rule-Based Approach for Mining Creative Thinking Patterns from Big Educational Data
AppliedMath, 2023 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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Educational data mining: overview and research trends
Lietuvos Matematikos Rinkinys, 2015 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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Algorithm of Problem Solving in Educational Data Mining Approach [PDF]
Journal of Systemics, Cybernetics and Informatics, 2021 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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Context driven data mining to classify students of higher educational institutions [PDF]
, 2016 Literature shows that knowledge about contextual factors associated with student time to degree and CGPA could play an important role in enabling HEIs to make more accurate and informed decisions that enhance student learning.
Lu, KJ, Sailesh, Subhashini Bhaskaran
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A Systematic Review on Educational Data Mining
IEEE Access, 2017 Presently, educational institutions compile and store huge volumes of data, such as student enrolment and attendance records, as well as their examination results. Mining such data yields stimulating information that serves its handlers well.
Ashish Dutt +2 more
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Data and Process Mining in Analysing Student Behaviour [PDF]
Interdisciplinary Description of Complex SystemsThe 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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Investigation of the use of navigation tools in web-based learning: A data mining approach [PDF]
, 2008 Web-based learning is widespread in educational settings. The popularity of Web-based learning is in great measure because of its flexibility. Multiple navigation tools provided some of this flexibility.
Chen, SY, Liu, X, Minetou, CG
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