Student performance analysis and prediction in classroom learning: A review of educational data mining studies
Student performance modelling is one of the challenging and popular research topics in
educational data mining (EDM). Multiple factors influence the performance in non-linear …
educational data mining (EDM). Multiple factors influence the performance in non-linear …
[PDF][PDF] Application of big data in education data mining and learning analytics–a literature review
The usage of learning management systems in education has been increasing in the last
few years. Students have started using mobile phones, primarily smart phones that have …
few years. Students have started using mobile phones, primarily smart phones that have …
Mining educational data to analyze students' performance
BK Baradwaj, S Pal - arXiv preprint arXiv:1201.3417, 2012 - arxiv.org
The main objective of higher education institutions is to provide quality education to its
students. One way to achieve highest level of quality in higher education system is by …
students. One way to achieve highest level of quality in higher education system is by …
Data mining: Prediction for performance improvement of graduate students using classification
K Bunkar, UK Singh, B Pandya… - 2012 Ninth International …, 2012 - ieeexplore.ieee.org
Student performance in university courses is of great concern to the higher education where
several factors may affect the performance. This paper is an attempt to apply the data mining …
several factors may affect the performance. This paper is an attempt to apply the data mining …
Data mining: A prediction for performance improvement of engineering students using classification
Now-a-days the amount of data stored in educational database increasing rapidly. These
databases contain hidden information for improvement of students' performance …
databases contain hidden information for improvement of students' performance …
Data mining applications: A comparative study for predicting student's performance
Knowledge Discovery and Data Mining (KDD) is a multidisciplinary area focusing upon
methodologies for extracting useful knowledge from data and there are several useful KDD …
methodologies for extracting useful knowledge from data and there are several useful KDD …
Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations
Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
Performance analysis and prediction in educational data mining: A research travelogue
In this era of computerization, education has also revamped itself and is not limited to old
lecture method. The regular quest is on to find out new ways to make it more effective and …
lecture method. The regular quest is on to find out new ways to make it more effective and …
Mining Education data to predict student's retention: a comparative study
The main objective of higher education is to provide quality education to students. One way
to achieve highest level of quality in higher education system is by discovering knowledge …
to achieve highest level of quality in higher education system is by discovering knowledge …
[PDF][PDF] An Analysis of students' performance using classification algorithms
MS Mythili, ARM Shanavas - IOSR Journal of Computer …, 2014 - researchgate.net
In recent years, the analysis and evaluation of students‟ performance and retaining the
standard of education is a very important problem in all the educational institutions. The …
standard of education is a very important problem in all the educational institutions. The …