Educational data mining and learning analytics for 21st century higher education: A review and synthesis
The potential influence of data mining analytics on the students' learning processes and
outcomes has been realized in higher education. Hence, a comprehensive review of …
outcomes has been realized in higher education. Hence, a comprehensive review of …
Educational data mining: a review of the state of the art
Educational data mining (EDM) is an emerging interdisciplinary research area that deals
with the development of methods to explore data originating in an educational context. EDM …
with the development of methods to explore data originating in an educational context. EDM …
Participation-based student final performance prediction model through interpretable Genetic Programming: Integrating learning analytics, educational data mining …
Building a student performance prediction model that is both practical and understandable
for users is a challenging task fraught with confounding factors to collect and measure. Most …
for users is a challenging task fraught with confounding factors to collect and measure. Most …
Applying data mining techniques to e-learning problems
This chapter aims to provide an up-to-date snapshot of the current state of research and
applications of Data Mining methods in e-learning. The cross-fertilization of both areas is still …
applications of Data Mining methods in e-learning. The cross-fertilization of both areas is still …
Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique
There is a perpetual elevation in demand for higher education in the last decade all over the
world; therefore, the need for improving the education system is imminent. Educational data …
world; therefore, the need for improving the education system is imminent. Educational data …
A system for knowledge discovery in e-learning environments within the European Higher Education Area–Application to student data from Open University of Madrid …
In today's open and dynamic learning environment, a significant percentage of students
have a preference for flexible learning systems whereby they can reconcile their academic …
have a preference for flexible learning systems whereby they can reconcile their academic …
Learning styles assessment and theoretical origin in an E-learning scenario: a survey
L Jegatha Deborah, R Baskaran, A Kannan - Artificial Intelligence Review, 2014 - Springer
The performance of the learners in E-learning environments is greatly influenced by the
nature of the posted E-learning contents. In such a scenario, the performance of the learners …
nature of the posted E-learning contents. In such a scenario, the performance of the learners …
Predicting students' academic performances–A learning analytics approach using multiple linear regression
OD Oyerinde, PA Chia - 2017 - dspace.unijos.edu.ng
Learning Analytics is an area of Information Systems research that integrates data analytics
and data mining techniques with the aim of enhancing knowledge management and …
and data mining techniques with the aim of enhancing knowledge management and …
Fuzzy-logic based learning style prediction in e-learning using web interface information
LJ Deborah, R Sathiyaseelan, S Audithan… - Sadhana, 2015 - Springer
The e-learners' excellence can be improved by recommending suitable e-contents available
in e-learning servers that are based on investigating their learning styles. The learning styles …
in e-learning servers that are based on investigating their learning styles. The learning styles …
[PDF][PDF] Using Educational Data Mining Methods to Study the Impact of Virtual Classroom in E-Learning.
MH Falakmasir, J Habibi - EDM, 2010 - Citeseer
In the past few years, Iranian universities have embarked to use e-learning tools and
technologies to extend and improve their educational services. After a few years of …
technologies to extend and improve their educational services. After a few years of …