On the use of soft computing methods in educational data mining and learning analytics research: A review of years 2010–2018
The aim of this paper is to survey recent research publications that use Soft Computing
methods to answer education-related problems based on the analysis of educational data …
methods to answer education-related problems based on the analysis of educational data …
Map-reduce framework based cluster architecture for academic student's performance prediction using cumulative dragonfly based neural network
The major aim of the education institute is to provide the high-quality education to students.
The way to attain the high quality in the education system is to determine the knowledge …
The way to attain the high quality in the education system is to determine the knowledge …
Cluster-based distributed architecture for prediction of student's performance in higher education
Educational data mining (EDM) has emerged as a research area in recent years for
researchers all over the world from different and related research areas. The EDM obtained …
researchers all over the world from different and related research areas. The EDM obtained …
Optimized ensemble learning‐based student's performance prediction with weighted rough set theory enabled feature mining
Currently, educational data mining act as a major part of student performance prediction
approaches and their applications. However, more ensemble methods are needed to …
approaches and their applications. However, more ensemble methods are needed to …
Adaptive-CSSA: adaptive-chicken squirrel search algorithm driven deep belief network for student stress-level and drop out prediction with MapReduce framework
V Kamakshamma, KF Bharati - Social Network Analysis and Mining, 2023 - Springer
Stress is correlated with various illnesses that include diabetes, depression, and other
chronic diseases and plays an important role in the emotional and physical well-being. In …
chronic diseases and plays an important role in the emotional and physical well-being. In …
[PDF][PDF] Predicting Academic Performance of Deaf Students Using Feed Forward Neural Network and An Improved PSO Algorithm.
Literacy rate of deaf students is very less in India. So there is a need to build an effective
academic prediction model for identifying weak deaf students. Many machine learning …
academic prediction model for identifying weak deaf students. Many machine learning …
Detecting learning style based on level of knowledge
One way to optimize online learning is by a personalized approach. One of the personalized
models for online learning is knowing the learning styles of the learners. This is because …
models for online learning is knowing the learning styles of the learners. This is because …
Recommendation Model for Learning Material Using the Felder Silverman Learning Style Approach
The biggest obstacle that students have when participating in a virtual learning environment
(e-learning) is discovering a platform that has functionalities that can be customized to fit …
(e-learning) is discovering a platform that has functionalities that can be customized to fit …
Regression Based Network Security Scenario Prediction Model
Analysing issues in which one or more independent variables predict an outcome may be
done using logistic regression. A binary or dichotomous dependent variable is used to …
done using logistic regression. A binary or dichotomous dependent variable is used to …
[PDF][PDF] A complete survey on predicting performance of engineering students
VS Durga, J Thangakumar - Int. J. Civ. Eng. Technol, 2019 - academia.edu
Predictive models are quasi experimental structures used to determine the future patterns in
data. These meaningful data patterns form the building block of any decision support …
data. These meaningful data patterns form the building block of any decision support …