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Educational data mining and learning analytics: An updated survey
This survey is an updated and improved version of the previous one published in 2013 in
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
this journal with the title “data mining in education”. It reviews in a comprehensible and very …
Educational data mining and learning analytics
In recent years, there has been increasing interest in using the methods of educational data
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …
mining (EDM) and learning analytics (LA) to study and measure learner cognition. In this …
[PDF][PDF] Mining educational data to predict student's academic performance using ensemble methods
Educational data mining has received considerable attention in the last few years. Many
data mining techniques are proposed to extract the hidden knowledge from educational …
data mining techniques are proposed to extract the hidden knowledge from educational …
Time series analysis for education: Methods, applications, and future directions
Recent advancements in the collection and analysis of sequential educational data have
brought time series analysis to a pivotal position in educational research, highlighting its …
brought time series analysis to a pivotal position in educational research, highlighting its …
Intrusion detection system based on hybridizing a modified binary grey wolf optimization and particle swarm optimization
Nowadays, the world is increasingly becoming more connected and dependent on the
Internet and Internet-based services. One of the main challenges of interconnectedness is …
Internet and Internet-based services. One of the main challenges of interconnectedness is …
An intelligent recommendation system in e-commerce using ensemble learning
A Shankar, P Perumal, M Subramanian… - Multimedia Tools and …, 2024 - Springer
In today's world, recommendation systems play a vital role in customer analysis on social
media, online businesses, e-commerce, etc. There are multiple sources of information on the …
media, online businesses, e-commerce, etc. There are multiple sources of information on the …
Multi-source and multimodal data fusion for predicting academic performance in blended learning university courses
In this paper we apply data fusion approaches for predicting the final academic performance
of university students using multiple-source, multimodal data from blended learning …
of university students using multiple-source, multimodal data from blended learning …
Let them choose: Optional assignments and online learning patterns as predictors of success in online general chemistry courses
This study examined learning processes in undergraduate online general chemistry
courses. The study aimed to characterize learners according to their learning patterns and to …
courses. The study aimed to characterize learners according to their learning patterns and to …
A machine learning-based recommender system for improving students learning experiences
Outcome-based education (OBE) is a well-proven teaching strategy based upon a
predefined set of expected outcomes. The components of OBE are Program Educational …
predefined set of expected outcomes. The components of OBE are Program Educational …
Data mining models for student careers
This paper presents a data mining methodology to analyze the careers of University
graduated students. We present different approaches based on clustering and sequential …
graduated students. We present different approaches based on clustering and sequential …