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The theory of learning styles applied to distance learning
Distance Education (DE) associated with the use of Virtual Learning Environments (VLE) as
interaction tools between the student and the educator has become a large research niche …
interaction tools between the student and the educator has become a large research niche …
Active methodology, educational data mining and learning analytics: A systematic map** study
Distance Learning has enabled educational practices based on digital platforms, generating
massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly …
massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly …
Predicting Master's students' academic performance: an empirical study in Germany
The tremendous growth in electronic educational data creates the need to have meaningful
information extracted from it. Educational Data Mining (EDM) is an exciting research area …
information extracted from it. Educational Data Mining (EDM) is an exciting research area …
[PDF][PDF] Dropout prediction and reduction in distance education courses with the learning analytics multitrail approach.
Distance Education courses are present in large number of educational institutions. Virtual
Learning Environments development contributes to this wide adoption of Distance …
Learning Environments development contributes to this wide adoption of Distance …
Educational Data Mining for Dropout Prediction: Trends, Opportunities, and Challenges
Atualmente, enfrentamos prejuízos acadêmicos, sociais e econômicos associados à evasão
estudantil. Vários estudos têm aplicado técnicas de mineração de dados a conjuntos de …
estudantil. Vários estudos têm aplicado técnicas de mineração de dados a conjuntos de …
WAVE: an architecture for predicting dropout in undergraduate courses using EDM
Predicting the academic progress of student is an issue faced by many public universities in
emerging countries. Although, those institutions stores large amounts of educational data …
emerging countries. Although, those institutions stores large amounts of educational data …
Educational data mining: An application of regressors in predicting school dropout
School dropout is one of the great challenges for the educational system. Educational data
mining seeks to study and contribute with results that aim to hidden problems and find …
mining seeks to study and contribute with results that aim to hidden problems and find …
Algorithm applied: attracting MSEs to business associations
Purpose This paper aims to propose a structured model based on a data mining algorithm
that can calculate, based on business association (BA) attributes, the probability of micro …
that can calculate, based on business association (BA) attributes, the probability of micro …
A comparative study between clustering methods in educational data mining
This paper aims to describe the analysis of data from the Moodle's database of a beginner
class in Distance Education of a Federal University using distinct educational data mining …
class in Distance Education of a Federal University using distinct educational data mining …
Forecasting students' performance through self-regulated learning behavioral analysis
The increasing use of the Learning Management Systems (LMSs) is making available an
ever-growing, volume of data from interactions between teachers and students. This study …
ever-growing, volume of data from interactions between teachers and students. This study …